阅读说明：本技术 梯度场控制方法、装置、磁共振成像设备及介质 (Gradient field control method, gradient field control device, magnetic resonance imaging equipment and medium ) 是由 王海峰 邹莉娴 梁栋 刘新 郑海荣 于 2020-04-09 设计创作，主要内容包括：本申请适用于磁共振技术领域,提供了一种梯度场控制方法、装置、磁共振成像设备及介质,其中,一种梯度场控制方法,通过获取预先设定的扫描序列参数与控制参数,根据扫描序列参数与控制参数,可以确定待调整信号梯度波形的目标面积值,其中,待调整信号梯度波形包括平台波段与渐变波段,按照预设幅度调整参数调整待调整信号梯度波形的平台波段的波形幅度,再基于目标面积值与新的平台波段的第一面积值,对渐变波段进行平滑调整得到新的渐变波段,降低了原有渐变波段所表征的信号拐点的落差,无需对梯度场切换过程中产生的噪音进行采集,再匹配相应的降噪信号进行降噪操作,简化了降噪方案且节约了降噪成本。(The application is applicable to the technical field of magnetic resonance, and provides a gradient field control method, a device, a magnetic resonance imaging device and a medium, wherein the gradient field control method can determine a target area value of a signal gradient waveform to be adjusted by acquiring preset scanning sequence parameters and control parameters according to the scanning sequence parameters and the control parameters, wherein the signal gradient waveform to be adjusted comprises a platform wave band and a gradual change wave band, the waveform amplitude of the platform wave band of the signal gradient waveform to be adjusted is adjusted according to the preset amplitude adjustment parameters, the gradual change wave band is smoothly adjusted to obtain a new gradual change wave band based on the target area value and a first area value of the new platform wave band, the fall of a signal inflection point represented by the original gradual change wave band is reduced, noise generated in the gradient field switching process is not required to be collected, and then corresponding noise reduction signals are matched for noise reduction operation, the noise reduction scheme is simplified and the noise reduction cost is saved.)

1. A gradient field control method, comprising:

acquiring preset scanning sequence parameters and control parameters; the control parameters are used for describing a gradient waveform of a signal to be adjusted;

determining a target area value of the gradient waveform of the signal to be adjusted according to the scanning sequence parameter and the control parameter; the gradient waveform of the signal to be adjusted comprises a platform wave band and a gradual change wave band;

adjusting the waveform amplitude of the platform wave band according to a preset amplitude adjustment parameter to obtain a new platform wave band;

based on the target area value and the first area value of the new platform wave band, smoothly adjusting the gradual change wave band to obtain a new gradual change wave band; wherein a sum of the second area value and the first area value of the new transition band equals the target area value;

and controlling the gradient field based on a target signal gradient waveform composed of the new gradient wave band and the new platform wave band.

2. The gradient field control method according to claim 1, characterized in that the control parameters comprise a gradient function for describing the gradient waveform of the signal to be adapted;

the scan sequence parameters include: k-space dimensions, K-space cell dimensions, gyromagnetic ratio of nuclei, scan field of view, bandwidth, sampling time, and the number of sample points associated with the sampling time.

3. The gradient field control method according to claim 2, wherein the determining a target area value of the signal gradient waveform to be adjusted according to the scan sequence parameter and the control parameter comprises:

measuring a target area value of the gradient waveform of the signal to be adjusted by the following formula;

k＝N·Δk；

wherein K (t) is a K space position of the sampling time at the t moment; gamma is the gyromagnetic ratio of the nuclei; g (t') is the gradient function; k is the K-space dimension; n is the number of the sampling points; Δ K is the K-space unit size; the FOV is the scan field of view; a is the target area value; BW is the bandwidth.

4. The gradient field control method according to claim 2, wherein the adjusting the waveform amplitude of the plateau wavelength band according to the preset amplitude adjustment parameter to obtain a new plateau wavelength band comprises:

determining a platform amplitude value of the platform wave band according to the gradient function;

adjusting the platform amplitude value according to a preset amplitude adjustment parameter to obtain a new platform amplitude value; wherein the amplitude value of the new platform band is equal to the sum of the platform amplitude value and the adjustment parameter;

and obtaining the new platform wave band according to the new platform amplitude value.

5. The gradient field control method of claim 4, wherein the sampling times comprise a plateau band duration and a gradient band duration; the number of the sampling points comprises a first sampling point number corresponding to the platform wave band duration and a second sampling point number corresponding to the gradual change wave band duration;

the smooth adjustment of the transition band based on the target area value and the first area value of the new platform band to obtain a new transition band comprises:

acquiring the number of the first sampling points;

identifying a product of the number of the first sampling points and the new plateau amplitude value as the first area value;

measuring and calculating the difference between the target area value and the first area value to obtain an adjusted area value;

and carrying out smooth adjustment on the gradual change wave band based on the adjustment area value to obtain a new gradual change wave band.

6. The gradient field control method according to claim 5, characterized in that the ramp band comprises a plurality of ramp points that are consecutive over the duration of the ramp band;

the smooth adjustment of the gradual change waveband based on the adjustment area value to obtain a new gradual change waveband includes:

obtaining the duration of the gradual change wave band;

determining a plurality of fade points based on the fade band duration;

adjusting the amplitude value of each gradient point through the following formula to obtain a plurality of new gradient points;

X(t)＝1-exp(-w*t)；

G(t)＝G0*Xn(t)；

wherein X (t) is the new fade point; t is the time in the duration of the gradual change waveband; w is an adjustment factor, and 0< | w | < 1; xn (t) characterizes the normalized result of X (t); g0 is the amplitude value of the gradual change point; g (t) is the amplitude value of the new gradient point; and the new gradual change points form a new gradual change wave band, and the sum of the amplitude values of the new gradual change points is equal to the adjustment area value.

7. The gradient field control method according to any of claims 1 to 6, characterized in that the method further comprises:

determining a target gradient function corresponding to the target signal gradient waveform;

and storing the target gradient function and the control parameter into a preset database in a correlation manner.

8. A gradient field control apparatus, comprising:

the first acquisition unit is used for acquiring preset scanning sequence parameters and control parameters; the control parameters are used for describing a gradient waveform of a signal to be adjusted;

the first determining unit is used for determining a target area value of the gradient waveform of the signal to be adjusted according to the scanning sequence parameter and the control parameter; the gradient waveform of the signal to be adjusted comprises a platform wave band and a gradual change wave band;

the first adjusting unit is used for adjusting the waveform amplitude of the platform wave band according to a preset amplitude adjusting parameter to obtain a new platform wave band;

a second adjusting unit, configured to perform smooth adjustment on the gradient band based on the target area value and the first area value of the new platform band, so as to obtain a new gradient band; wherein a sum of the second area value and the first area value of the new transition band equals the target area value;

and the execution unit is used for controlling the gradient field based on a target signal gradient waveform formed by the new gradient wave band and the new platform wave band.

9. A magnetic resonance imaging apparatus, characterized in that the magnetic resonance apparatus comprises a memory, a processor and a computer program stored in the memory and executable on the magnetic resonance apparatus, the processor implementing the steps of the gradient field control method according to any one of claims 1 to 7 when executing the computer program.

10. A computer-readable storage medium, in which a computer program is stored which, when being executed by a processor, carries out the steps of the gradient field control method according to any one of claims 1 to 7.

Technical Field

The present application relates to the field of magnetic resonance technology, and in particular, to a gradient field control method and apparatus, a magnetic resonance imaging device, and a computer-readable storage medium.

Background

Magnetic Resonance Imaging (MRI) is a technique in which a radio frequency pulse of a specific frequency is applied to a target in a static Magnetic field, and hydrogen protons in the target are excited to generate a Magnetic Resonance phenomenon. After the application of the radio frequency pulse is stopped, the protons in the target body generate Magnetic Resonance (MR) signals in the relaxation process, and the usable MR signals can be obtained through the processing processes of receiving, space encoding, image reconstruction and the like of the MR signals. Since each signal contains full-slice information during the magnetic resonance process, spatial localization encoding, i.e., frequency encoding and phase encoding, of the magnetic resonance signals is required. Specifically, because the MR signals acquired by the receiving coil are actually radio waves with spatial coding information, and belong to analog signals, the MR signals need to be converted into digital information through analog-to-digital conversion, and then the digital information is filled into K space, and finally, a corresponding digital lattice is obtained. The K space is closely related to the spatial localization information of the magnetic resonance signal, and is also called fourier space, which is a filling space of the original digital information of the MR signal with the spatial localization coding information. Each MR image has a corresponding K-space data lattice, and spatial positioning coding information in original digital data can be decoded by performing Fourier transform on the data in the K space to decompose MR signals with different frequencies, phases and amplitudes, wherein the different frequencies and the phases represent different spatial positions, and the amplitudes represent the MR signal intensity. The MR digital signals with different frequencies, phases and signal intensities are distributed to corresponding pixels, so that MR image data is obtained, namely, an MR image is reconstructed. Fourier transformation is the process of converting the original data lattice in K-space to the MR image lattice.

In the process of scanning and imaging by using the magnetic resonance imaging technology, a gradient field is required to be applied in a static magnetic field environment, the gradient field is used for matching with the excitation of radio frequency pulses to realize the selection of an imaging area in the magnetic resonance imaging process, and the spatial position encoding of an MR signal generated on an imaging target body is carried out. In a gradient field assembly for creating a gradient field environment in a conventional magnetic resonance imaging apparatus, a gradient field environment is constructed by switching three sets of gradient coils continuously between on and off states and generating gradient magnetic fields in space in three directions, for example, at coordinates X, Y, Z. Since the gradient field assembly must reach maximum power quickly during operation of the magnetic resonance imaging apparatus, the phase encoding gradients and slice selection gradients must be switched off quickly before the readout gradients are switched on. Sometimes, the polarity of the gradient field is also switched rapidly, and during the rapid switching process, violent earthquake motion is generated between the metal wires in the gradient coil, so that larger noise is generated.

Although in the prior art, when solving the noise problem in the magnetic resonance imaging process, a band-stop filter can be used to suppress frequency band components with high gradient waveform sound pressure levels, the scheme needs to acquire sound pressure in a gradient coil and then calculate a frequency response function to further filter out specific frequency band sound generated by the gradient coil when a gradient field is switched. Therefore, in the existing magnetic resonance imaging technology, when noise in the gradient field switching process is reduced, the problems of complex noise reduction scheme and high cost exist.

Disclosure of Invention

In view of this, embodiments of the present application provide a gradient field control method and apparatus, a magnetic resonance imaging device, and a computer readable storage medium, so as to solve the problem that in the existing magnetic resonance imaging technology, when noise in a gradient field switching process is reduced, a noise reduction scheme is complex and cost is high.

A first aspect of an embodiment of the present application provides a gradient field control method, including:

acquiring preset scanning sequence parameters and control parameters; the control parameters are used for describing a gradient waveform of a signal to be adjusted;

determining a target area value of the gradient waveform of the signal to be adjusted according to the scanning sequence parameter and the control parameter; the gradient waveform of the signal to be adjusted comprises a platform wave band and a gradual change wave band;

adjusting the waveform amplitude of the platform wave band according to a preset amplitude adjustment parameter to obtain a new platform wave band;

based on the target area value and the first area value of the new platform wave band, smoothly adjusting the gradual change wave band to obtain a new gradual change wave band; wherein a sum of the second area value and the first area value of the new transition band equals the target area value;

and controlling the gradient field based on a target signal gradient waveform composed of the new gradient wave band and the new platform wave band.

Further, the control parameter comprises a gradient function for describing a gradient waveform of the signal to be adjusted;

the scan sequence parameters include: k-space dimensions, K-space cell dimensions, gyromagnetic ratio of nuclei, scan field of view, bandwidth, sampling time, and the number of sample points associated with the sampling time.

Further, the determining a target area value of the gradient waveform of the signal to be adjusted according to the scan sequence parameter and the control parameter includes:

measuring a target area value of the gradient waveform of the signal to be adjusted by the following formula;

k＝N·Δk；

wherein K (t) is a K space position of the sampling time at the t moment; gamma is the gyromagnetic ratio of the nuclei; g (t)^′) Is the gradient function; k is the K spaceSize; n is the number of the sampling points; Δ K is the K-space unit size; the FOV is the scan field of view; a is the target area value; BW is the bandwidth.

Further, the adjusting the waveform amplitude of the platform band according to the preset amplitude adjustment parameter to obtain a new platform band includes:

determining a platform amplitude value of the platform wave band according to the gradient function;

adjusting the platform amplitude value according to a preset amplitude adjustment parameter to obtain a new platform amplitude value; wherein the amplitude value of the new platform band is equal to the sum of the platform amplitude value and the adjustment parameter;

and obtaining the new platform wave band according to the new platform amplitude value.

Further, the sampling time comprises a plateau wave band duration and a gradual change wave band duration; the number of the sampling points comprises a first sampling point number corresponding to the platform wave band duration and a second sampling point number corresponding to the gradual change wave band duration;

the smooth adjustment of the transition band based on the target area value and the first area value of the new platform band to obtain a new transition band comprises:

acquiring the number of the first sampling points;

identifying a product of the number of the first sampling points and the new plateau amplitude value as the first area value;

measuring and calculating the difference between the target area value and the first area value to obtain an adjusted area value;

and carrying out smooth adjustment on the gradual change wave band based on the adjustment area value to obtain a new gradual change wave band.

Further, the taper band includes a plurality of taper points that are continuous over the duration of the taper band;

the smooth adjustment of the gradual change waveband based on the adjustment area value to obtain a new gradual change waveband includes:

obtaining the duration of the gradual change wave band;

determining a plurality of fade points based on the fade band duration;

adjusting the amplitude value of each gradient point through the following formula to obtain a plurality of new gradient points;

X(t)＝1-exp(-w*t)；

G(t)＝G0*Xn(t)；

wherein X (t) is the new fade point; t is the time in the duration of the gradual change waveband; w is an adjustment factor, and 0< | w | < 1; xn (t) characterizes the normalized result of X (t); g0 is the amplitude value of the gradual change point; g (t) is the amplitude value of the new gradient point; and the new gradual change points form a new gradual change wave band, and the sum of the amplitude values of the new gradual change points is equal to the adjustment area value.

Further, the method further comprises:

determining a target gradient function corresponding to the target signal gradient waveform;

and storing the target gradient function and the control parameter into a preset database in a correlation manner.

A second aspect of embodiments of the present application provides a gradient field control apparatus, including:

the first acquisition unit is used for acquiring preset scanning sequence parameters and control parameters; the control parameters are used for describing a gradient waveform of a signal to be adjusted;

the first determining unit is used for determining a target area value of the gradient waveform of the signal to be adjusted according to the scanning sequence parameter and the control parameter; the gradient waveform of the signal to be adjusted comprises a platform wave band and a gradual change wave band;

the first adjusting unit is used for adjusting the waveform amplitude of the platform wave band according to a preset amplitude adjusting parameter to obtain a new platform wave band;

a second adjusting unit, configured to perform smooth adjustment on the gradient band based on the target area value and the first area value of the new platform band, so as to obtain a new gradient band; wherein a sum of the second area value and the first area value of the new transition band equals the target area value;

and the execution unit is used for controlling the gradient field based on a target signal gradient waveform formed by the new gradient wave band and the new platform wave band.

A third aspect of embodiments of the present application provides a magnetic resonance imaging apparatus, which includes a memory, a processor, and a computer program stored in the memory and executable on the magnetic resonance apparatus, wherein the processor implements the steps of the gradient field control method provided by the first aspect when executing the computer program.

A fourth aspect of embodiments of the present application provides a computer-readable storage medium, which stores a computer program that, when executed by a processor, implements the steps of the gradient field control method provided by the first aspect.

A fifth aspect of embodiments of the present application provides a computer program product, which, when run on a magnetic resonance apparatus, causes the magnetic resonance apparatus to perform the steps of the gradient field control method of any one of the above-mentioned first aspects.

The gradient field control method, the gradient field control device, the magnetic resonance imaging equipment and the computer readable storage medium have the following beneficial effects:

the gradient field control method provided by the embodiment of the application can determine the target area value of the signal gradient waveform to be adjusted by acquiring the preset scanning sequence parameters and control parameters, and the signal gradient waveform to be adjusted comprises a platform wave band and a gradual change wave band, because the larger the signal inflection point fall represented by the gradual change wave band is, the larger the noise in the gradient field switching process is, the waveform amplitude of the platform wave band of the signal gradient waveform to be adjusted is adjusted according to the preset amplitude adjustment parameters, and then based on the target area value and the first area value of the new platform wave band, the gradual change wave band is smoothly adjusted to obtain the new gradual change wave band, so that the signal inflection point fall represented by the original gradual change wave band is reduced, and finally, the gradient field is controlled based on the target signal gradient waveform composed of the new platform wave band and the new platform wave band, noise reduction treatment can be realized to the noise that the switching gradient place leads to at the magnetic resonance imaging in-process, need not to gather the noise that the gradient field switching in-process produced, the operation of making an uproar falls in the corresponding signal of making an uproar that falls of relatching again, has simplified the scheme of making an uproar and has practiced thrift the cost of making an uproar.

In addition, the waveform amplitude of the platform wave band of the signal gradient waveform to be adjusted is adjusted according to the preset amplitude adjustment parameter, and then the gradient wave band is adjusted to obtain a new gradient wave band based on the target area value and the first area value of the new platform wave band, so that the platform wave band is reserved as far as possible under the condition that the target area value of the signal gradient waveform to be adjusted is kept unchanged, that is, the control parameter is maximally reserved, and the noise problem caused by violent gradient switching is reduced.

Drawings

In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings needed to be used in the embodiments or the prior art descriptions will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present application, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without inventive exercise.

Fig. 1 is a flowchart of an implementation of a gradient field control method provided in an embodiment of the present application;

FIG. 2 is a schematic diagram of the implementation principle of the whole scheme of the application;

FIG. 3 is a flowchart illustrating an implementation of a gradient field control method according to another embodiment of the present application;

fig. 4 is a block diagram of a gradient field control apparatus according to an embodiment of the present application;

fig. 5 is a block diagram of a magnetic resonance imaging apparatus according to another embodiment of the present application.

Detailed Description

In order to make the objects, technical solutions and advantages of the present application more apparent, the present application is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the present application and are not intended to limit the present application.

Referring to fig. 1, fig. 1 is a flowchart illustrating an implementation of a gradient field control method according to an embodiment of the present disclosure. In the present embodiment, the gradient field control method is used for gradient field switching control in a magnetic resonance imaging process, and is performed mainly by a magnetic resonance imaging apparatus.

The gradient field control method as shown in fig. 1 comprises the following steps:

s11: acquiring preset scanning sequence parameters and control parameters; wherein the control parameter is used for describing a gradient waveform of a signal to be adjusted.

In step S11, the scan sequence parameters are used to describe the acquisition window, i.e., the time period during which data acquisition is performed. Because there is an incidence relation between the acquisition window and the control parameter in the time sequence, that is, there is an overlapping region between the signal gradient waveform to be adjusted described by the control parameter and the acquisition window in the time sequence, the overlapping region is a time period of data acquisition. The control parameter is a control parameter for controlling the gradient field, that is, a control parameter for controlling the gradient field switching in the magnetic resonance imaging process, and therefore, the gradient waveform described by the control parameter is a signal gradient waveform to be adjusted.

In the magnetic resonance imaging process, a static magnetic field environment is constructed, and a radio frequency pulse with a certain specific frequency is applied to a target body such as a human body in the static magnetic field, so that hydrogen protons in the target body are excited to generate a magnetic resonance phenomenon. In the static magnetic field environment, it is also necessary to construct a gradient field for selective excitation to select an imaging region and spatially encode MR signals generated on an imaging target during magnetic resonance imaging. In a gradient field assembly for creating a gradient field environment in a conventional magnetic resonance imaging apparatus, gradient magnetic fields are generated in space by switching three sets of gradient coils continuously between on and off states. In all embodiments of the present application, the signal gradient waveforms to be adjusted described by the control parameters are signal waveforms for controlling the switching of the gradient magnetic field.

Fig. 2 shows a schematic diagram of the overall scheme implementation. As shown in fig. 2, in practical applications, since there are severe inflection points in the signal gradient waveform presented by the control parameter, such as the point P1 and the point P2 in fig. 2, and the parameter signal corresponding to the severe inflection point is a cause of noise, the severe inflection point in the signal gradient waveform to be adjusted needs to be adjusted in order to reduce noise during the gradient field switching process.

In this embodiment, the scan sequence parameters and the control parameters are obtained, and the control parameters can be used to describe the gradient waveform of the signal to be adjusted, so that the control parameters are imaged, the control parameters can be better analyzed and adjusted, and a way and a basis are provided for improving the overall scheme. It should be understood that in all embodiments of the present application, the adjustment to the signal gradient waveform to be adjusted is actually the adjustment to the control parameter.

The following two scenarios can be included, but not limited to, as to when the preset scan sequence parameters and control parameters are obtained.

Scene 1: if a preset instruction for selecting an imaging region is detected in the process of magnetic resonance imaging, preset scanning sequence parameters and control parameters are acquired.

For example, in the magnetic resonance imaging of a target body, when an imaging region of the target body is selected by selecting different signal excitations, preset scan sequence parameters and control parameters are acquired.

Scene 2: and if a preset instruction for adjusting the control parameters is detected, acquiring preset scanning sequence parameters and control parameters.

For example, after the control scheme is imported into the magnetic resonance imaging apparatus, preset instructions for adjusting the control parameters are triggered, so as to obtain preset scan sequence parameters and control parameters.

It should be understood that in practical applications, due to the high degree of automation of the magnetic resonance imaging process, the adjustment of the control parameter may be performed during the use of the magnetic resonance imaging apparatus or during the commissioning of the magnetic resonance imaging apparatus. The preset scan sequence parameters and control parameters can be stored in a database of the magnetic resonance imaging device in advance, and when the scan sequence parameters and control parameters are obtained, the corresponding scan sequence parameters and control parameters can be obtained from the database according to the magnetic resonance imaging strategy corresponding to the control instruction.

S12: determining a target area value of the gradient waveform of the signal to be adjusted according to the scanning sequence parameter and the control parameter; the gradient waveform of the signal to be adjusted comprises a platform wave band and a gradual change wave band.

In step S12, the signal gradient waveform to be adjusted can be used to represent the correspondence between the control parameter and time, i.e. different time points correspond to different amplitude values. In a continuous time period, amplitude values of a plurality of discrete sampling points are connected on coordinates to form a signal gradient waveform to be adjusted, and the amplitude values are accumulated in the continuous time period to obtain a target area value of the signal gradient waveform to be adjusted.

It should be noted that the scan sequence parameters are used to describe an acquisition window, where the acquisition window overlaps with the signal gradient waveform to be adjusted in time sequence, and a region where the signal gradient waveform to be adjusted overlaps with the acquisition window in time sequence is used to represent an effective data acquisition period and data content, that is, to represent a position of acquired data in K space.

In this embodiment, a target area value of the signal gradient waveform to be adjusted is determined according to the scan sequence parameter and the control parameter, where the target area value is not a complete area value of the signal gradient waveform to be adjusted, but an area value of a time sequence overlapping portion of the signal gradient waveform to be adjusted and an acquisition window, that is, an effective data acquisition band in the signal gradient waveform to be adjusted.

As shown in fig. 2, the time sequence of the platform wave band a of the signal gradient waveform to be adjusted completely overlaps the time sequence of the acquisition window a' described by the scanning sequence parameter, that is, the effective acquisition data and the effective acquisition time period represented by the acquisition window correspond to the platform wave band a of the signal gradient waveform to be adjusted.

As shown in fig. 2, in the present embodiment, the plateau wavelength band a and the transition wavelength bands (a1, a2) in the signal gradient waveform 201 to be adjusted are distinguished by sampling time, that is, the transition wavelength bands (a1, a2) correspond to sampling time from time 1 to time 2 and from time 3 to time 4, and the plateau wavelength band a corresponds to sampling time from time 2 to time 3.

As shown in fig. 2, time 0 to time 1 belong to the preparation time, and time 4 to time 5 are the end time, and therefore are not within the sampling window. Since the front and rear bands a1 and a2 of the platform band a both include two critical value points, i.e., the inflection points P1 and P2 that change violently, when the gradient waveform of the signal to be adjusted is adjusted, the band a1 and the band a2 are identified as the gradual change bands, and the platform band is a.

It will be appreciated that either the mid-plateau or the ramp bands may be lines of dots. In the gradient waveform of the signal to be adjusted, the transition band is composed of two bands including critical value end points in front and back of the platform band, that is, the transition band can be regarded as the two bands in front and back of the platform band, and each transition band includes the critical value end point.

In practical applications, the specific shape of the signal gradient waveform to be adjusted depends on the control parameter, that is, the control parameter is the relationship data between a series of gradient amplitude values and time, and in a coordinate system, the abscissa represents time and the ordinate represents the gradient amplitude values, that is, the signal gradient waveform to be adjusted can be drawn. Because the control parameters can draw the corresponding signal gradient waveform to be adjusted in the coordinate system, part of data in the control parameters can be replaced by a gradient function describing the signal gradient waveform to be adjusted.

As a possible implementation manner of this embodiment, the control parameter includes a gradient function for describing a gradient waveform of the signal to be adjusted; the scan sequence parameters include: k-space dimensions, K-space cell dimensions, gyromagnetic ratio of nuclei, scan field of view, bandwidth, sampling time, and the number of sample points associated with the sampling time. Step S12 may specifically include:

measuring a target area value of the gradient waveform of the signal to be adjusted by the following formula;

k＝N·Δk；

wherein K (t) is a K space position of the sampling time at the t moment; gamma is the gyromagnetic ratio of the nuclei; g (t)^′) Is the gradient function; k is the K-space dimension; n is the number of the sampling points; Δ K is the K-space unit size; the FOV is the scan field of view; a is the target area value; BW is the bandwidth.

In the embodiment, the K space size is a product of the number of sampling points K space unit size, and the K space unit size Δ K and the FOV of the scanning field are in a reciprocal relationship; n is the number of sampling points and is an integer greater than 0.

It should be noted that K space is also called fourier space, and is a filling space of MR signal original digital data with spatial positioning coding information, each MR image has its corresponding K space data lattice, and the spatial positioning coding information in the original digital data can be decoded by performing fourier transform on the data in K space, so as to resolve MR signals with different frequencies, phases and amplitudes, where different frequencies and phases represent different spatial positions, and the amplitude represents MR signal intensity, that is, the fourier transform is a process of converting the original data lattice in K space into a magnetic resonance image lattice. The target area value of the signal gradient waveform to be adjusted can be determined by combining the K space size, the K space unit size, the gyromagnetic ratio of the atomic nucleus, the scanning field of view, the bandwidth and the sampling time included in the scanning sequence parameters and the conversion relation among the number of sampling points associated with the sampling time through the formula.

In all embodiments of the present application, since the target area value of the signal gradient waveform to be adjusted is used to represent the position of the acquired data on the K space, in order to ensure that the position of the data on the K space remains unchanged, the area value of the new signal gradient waveform to be adjusted is adjusted, and the obtained area value of the new signal gradient waveform is equal to the target area value of the signal gradient waveform to be adjusted.

S13: and adjusting the waveform amplitude of the platform wave band according to a preset amplitude adjustment parameter to obtain a new platform wave band.

In step S13, the preset amplitude adjustment parameter may be an increment or multiple of the waveform amplitude of the platform band, that is, the amplitude of the waveform of the platform band is adjusted by increasing the amplitude of the waveform amplitude value based on the original waveform amplitude of the platform band.

It should be noted that, when the preset amplitude adjustment parameter is an increment of the waveform amplitude of the platform band, the increment is an increment value greater than 0, and when the preset amplitude adjustment parameter is a multiple of the waveform amplitude of the platform band, the multiple is a multiple greater than 1.

In all embodiments of the present application, a gradient waveform of a signal to be adjusted is adjusted, specifically, a wave band with a sharp inflection point in the gradient waveform of the signal to be adjusted is smoothed, and in order to ensure that an area value enclosed by a new adjusted trapezoidal wave band is equal to a target area value of the gradient waveform of the signal to be adjusted, a waveform amplitude of a platform wave band is adjusted according to a preset amplitude adjustment parameter, so as to compensate a partial area lost after smoothing by increasing a waveform amplitude of the platform wave band.

As shown in fig. 2, the waveform amplitude of the new platform band b is larger than that of the original platform band a. And because the gradient waveform 201 of the signal to be adjusted is adjusted, the wave band with the sharp inflection point is subjected to smoothing treatment, partial area is lost, and the waveform of the new platform wave band b is obtained through configuration, because the amplitude of the waveform is larger than the amplitude of the waveform of the original platform wave band a, the partial area lost after the smoothing treatment can be compensated.

As a possible implementation manner of this embodiment, step S13 may include:

determining a platform amplitude value of the platform wave band according to the gradient function; adjusting the platform amplitude value according to a preset amplitude adjustment parameter to obtain a new platform amplitude value; wherein the amplitude value of the new platform band is equal to the sum of the platform amplitude value and the adjustment parameter; and obtaining the new platform wave band according to the new platform amplitude value.

In this embodiment, the new plateau amplitude value is the sum of the original plateau amplitude value and the adjustment parameter. The sampling process of the gradient field belongs to discrete sampling, namely, a platform wave band and a gradient wave band in a signal gradient waveform to be adjusted respectively correspond to sampling time, namely sampling points, and the gradient function can be used for describing the whole signal gradient waveform to be adjusted, so that the platform wave band and the gradient wave band can be determined by sampling time or the number of the sampling points, and the platform amplitude value of the platform wave band can be determined by combining the gradient function.

It should be noted that, in all embodiments of the present application, in the process of adjusting the gradient waveform of the signal to be adjusted, the amplitude value of the platform band is adjusted first, and then the gradual change band is adjusted based on the new platform band obtained after adjustment. In the new platform wave band, the amplitude value corresponding to each sampling time or sampling point is higher than the original amplitude value, so that a fall exists between the new platform wave band and the unadjusted gradient wave band, and in order to ensure that the gradient waveform after adjustment can reserve the original characteristics of the signal gradient waveform to be adjusted to a greater extent, the gradient wave band is adjusted smoothly, namely, the new signal gradient waveform can smoothly and continuously travel with the new platform wave band.

S14: based on the target area value and the first area value of the new platform wave band, smoothly adjusting the gradual change wave band to obtain a new gradual change wave band; wherein a sum of the second area value and the first area value of the new transition band is equal to the target area value.

In step S14, the target area value is the area of the signal gradient waveform to be adjusted. The first area value is the area of the new platform band on the time and amplitude coordinate axes, and is also the amplitude value accumulation of all sampling points of the new platform band.

It should be noted that the first area value is an area value of a new platform band, and is also an accumulated sum of corresponding amplitude values of each sampling point on the new platform band; the second area value is the area value of the new transition band and is also the accumulated sum of corresponding amplitude values of each sampling point on the new transition band. In order to keep the data position of the K space represented by the signal gradient waveform to be adjusted unchanged, the area of the new signal gradient waveform composed of the new platform band and the new transition band must be equal to the target area of the signal gradient waveform to be adjusted, so that when the transition band is adjusted smoothly, the transition band is adjusted smoothly with the sum of the second area value and the first area value of the new transition band equal to the target area as a limiting condition.

As a possible implementation manner of this embodiment, the sampling time includes a plateau band duration and a fade band duration; the number of the sampling points comprises a first sampling point number corresponding to the platform wave band duration and a second sampling point number corresponding to the gradual change wave band duration; step S14 may include:

acquiring the number of the first sampling points; identifying a product of the number of the first sampling points and the new plateau amplitude value as the first area value; measuring and calculating the difference between the target area value and the first area value to obtain an adjusted area value; and carrying out smooth adjustment on the gradual change wave band based on the adjustment area value to obtain a new gradual change wave band.

In this embodiment, since the first area value is an area of the new platform band on the time and amplitude coordinate axes, and the amplitude value of each point on the new platform band is greater than the amplitude value of each point on the original platform band, in order to ensure that the area surrounded by the adjusted gradient waveform is consistent with the target area of the gradient waveform of the signal to be adjusted, when the gradual change band is adjusted smoothly, a difference between the target area and the first area value of the new platform band needs to be considered. That is, after the gradual change band is adjusted smoothly, the cumulative sum of the amplitude values of all the sampling points on the new gradual change band is equal to the difference between the target area and the first area value.

In practical applications, since the constraint condition for performing smooth adjustment on the transition band is already known, that is, the sum of the second area value and the first area value of the new transition band is equal to the target area, in other embodiments, the constraint condition may be described by configuring a corresponding condition function or equation set, so as to perform smooth adjustment on the transition band.

As a possible implementation of this embodiment, the fade band comprises a plurality of fade points that are consecutive over the duration of the fade band; the smooth adjustment of the gradual change waveband based on the adjustment area value to obtain a new gradual change waveband includes:

obtaining the duration of the gradual change wave band;

determining a plurality of fade points based on the fade band duration;

adjusting the amplitude value of each gradient point through the following formula to obtain a plurality of new gradient points;

X(t)＝1-exp(-w*t)；

G(t)＝G0*Xn(t)；

wherein X (t) is the new fade point; t is the time in the duration of the gradual change waveband; w is an adjustment factor, and 0< | w | < 1; xn (t) characterizes the normalized result of X (t); g0 is the amplitude value of the gradual change point; g (t) is the amplitude value of the new gradient point; and the new gradual change points form a new gradual change wave band, and the sum of the amplitude values of the new gradual change points is equal to the adjustment area value.

It should be noted that x (t) is a new transition point, and the value range of w is related to the position of the transition point relative to the platform band, that is, a plurality of new transition points are in an ascending trend with time, or a plurality of new transition points are in a descending trend with time, and are related to the position of the transition point relative to the platform band.

In this embodiment, when the time t of x (t) is before the platform band arrives, the value range of the adjustment factor w is between 0 and 1, that is, 0< w < 1; when the t moment of X (t) is after the platform wave band comes, the value range of the adjusting factor w is between-1 and 0, namely-1 < w < 0.

As shown in fig. 2, in all embodiments of the present application, the gradient bands (a1, a2) in the signal gradient waveform 201 to be adjusted may be bands containing sampling points corresponding to critical inflection points (P1, P2), and the gradient bands (a1, a2) may be the same as the plateau bands, i.e., the bands a1 and a2 are both the same as the amplitude values of the plateau band a. Different from the ramp bands in the signal gradient waveform 201 to be adjusted, the amplitude values of each new ramp point on the new ramp band (b1, b2) are different, as shown in fig. 2, the amplitude values corresponding to all sampling time points on the band b1 and the band b2 are different, and the signal gradient waveform 201 to be adjusted is adjusted to obtain a target signal gradient waveform 202 composed of the new platform band b and the new ramp band (b1, b2), and the area of the target signal gradient waveform 202 is the same as the target area of the signal gradient waveform 201 to be adjusted.

As shown in fig. 2, since the gradual change points in the a1 band are all before the arrival of the platform band, that is, the adjustment of the a1 band should be a trend adjustment that gradually rises along with time, so as to obtain the b1 band, when the time t of x (t) is in the a1 band, the value range of the adjustment factor w is between 0 and 1; since the gradual change points in the a2 band are all after the arrival of the platform band, that is, the adjustment of the a2 band should be a trend adjustment that gradually decreases along with time sequence, so as to obtain the b2 band, when the time t of x (t) is in the a2 band, the value range of the adjustment factor w is between-1 and 0.

It should be noted that, when the gradual change waveband in the signal gradient waveform to be adjusted is adjusted, only a part of the platform waveband is divided into the gradual change waveband, and the gradual change waveband and the inflection point in the signal gradient waveform to be adjusted are adjusted smoothly, so that under the condition that most of the platform waveband is not changed, the gradual change waveband can be smoothly processed, the severe inflection point in the signal gradient waveform is eliminated, the new platform waveband and the new gradual change waveband can be smoothly transited, and noise in the gradient field switching process is eliminated.

S15: and controlling the gradient field based on a target signal gradient waveform composed of the new gradient wave band and the new platform wave band.

In step S15, the area of the target signal gradient waveform is equal to the target area of the signal gradient waveform to be adjusted, and therefore the position of the K space represented by the area of the target signal gradient waveform is the same as the position of the K space represented by the target area.

It should be noted that, the gradient field is controlled based on the target signal gradient waveform composed of the new transition band and the new platform band, and the gradient field is controlled to be switched by using the new control parameter corresponding to the target signal gradient waveform.

In all embodiments of the present application, since the control parameter is a control parameter for controlling switching of the gradient field, the signal gradient waveform to be adjusted described by the control parameter is adjusted, and actually the control parameter is adjusted, so that the target signal gradient waveform composed of the new transition band and the new platform band is obtained based on the adjustment, and the adjusted control parameter corresponds to the target signal gradient waveform, so that the target signal gradient waveform composed of the new transition band and the new platform band controls the gradient field based on the target signal gradient waveform, that is, the gradient field is controlled to perform the switching operation based on the adjusted control parameter corresponding to the target signal gradient waveform.

It can be seen from the above that, in the gradient field control method provided in this embodiment, by obtaining the preset scan sequence parameters and control parameters, since the control parameters can be used to describe the gradient waveform of the signal to be adjusted, the target area value of the gradient waveform of the signal to be adjusted can be determined according to the scan sequence parameters and the control parameters, and the gradient waveform of the signal to be adjusted includes a plateau band and a transition band, since the larger the difference between inflection points of the signal represented by the transition band is, the larger the noise in the gradient field switching process is, the waveform amplitude of the plateau band of the gradient waveform of the signal to be adjusted is adjusted according to the preset amplitude adjustment parameters, and then based on the target area value and the first area value of the new plateau band, the transition band is smoothly adjusted to obtain the new transition band, thereby reducing the difference between inflection points of the signal represented by the original transition band, and finally, the gradient field is controlled based on a target signal gradient waveform composed of a new gradient wave band and a new platform wave band, so that noise reduction treatment on noise caused by gradient field switching in the magnetic resonance imaging process can be realized, the noise generated in the gradient field switching process does not need to be collected, and then corresponding noise reduction signals are matched for noise reduction operation, so that the noise reduction scheme is simplified, and the noise reduction cost is saved.

In addition, the waveform amplitude of the platform wave band of the signal gradient waveform to be adjusted is adjusted according to the preset amplitude adjustment parameter, and then the gradient wave band is adjusted to obtain a new gradient wave band based on the target area value and the first area value of the new platform wave band, so that the platform wave band is reserved as far as possible under the condition that the target area value of the signal gradient waveform to be adjusted is kept unchanged, that is, the control parameter is maximally reserved, and the noise problem caused by violent gradient switching is reduced.

Referring to fig. 3, fig. 3 is a flowchart illustrating an implementation of a gradient field control method according to another embodiment of the present application. With respect to the embodiment corresponding to fig. 1, the gradient field control method provided in this embodiment further includes steps S21 to S22 after step S15. The details are as follows:

s21: a target gradient function corresponding to the target signal gradient waveform is determined.

S22: and storing the target gradient function and the control parameter into a preset database in a correlation manner.

In this embodiment, the target gradient function is a function derived based on a target signal gradient waveform. That is, the new gradient band and the new platform band are recombined to obtain a target signal gradient wave, and a target gradient function can be obtained based on the target signal gradient wave.

It should be noted that, the gradient function G (t) corresponding to the gradient waveform of the signal to be adjusted^′) In the middle, the sampling time point corresponds to a severely changed inflection point, so that large noise is easily generated when the gradient field is switched. After the gradient waveform of the signal to be adjusted is adjusted, the amplitude value of the platform waveform is increased, the gradient waveform is adjusted smoothly, finally, the new gradient wave band and the new platform wave band are recombined to obtain the target signal gradient wave, and the target gradient function can be obtained based on the target signal gradient waveform.

It should be understood that, the target gradient function and the control parameter are stored in the preset database in a correlated manner, and when the signal gradient waveform to be adjusted corresponding to the control parameter needs to be adjusted again, the corresponding target gradient function can be directly obtained from the preset database according to the control parameter, that is, the target gradient function corresponding to the gradient waveform after adjustment, and the gradient field control can be directly performed.

It can be seen from the above that, in the gradient field control method provided in this embodiment, by obtaining the preset scan sequence parameters and control parameters, since the control parameters can be used to describe the gradient waveform of the signal to be adjusted, the target area value of the gradient waveform of the signal to be adjusted can be determined according to the scan sequence parameters and the control parameters, and the gradient waveform of the signal to be adjusted includes a plateau band and a transition band, since the larger the difference between inflection points of the signal represented by the transition band is, the larger the noise in the gradient field switching process is, the waveform amplitude of the plateau band of the gradient waveform of the signal to be adjusted is adjusted according to the preset amplitude adjustment parameters, and then based on the target area value and the first area value of the new plateau band, the transition band is smoothly adjusted to obtain the new transition band, thereby reducing the difference between inflection points of the signal represented by the original transition band, and finally, the gradient field is controlled based on a target signal gradient waveform composed of a new gradient wave band and a new platform wave band, so that noise reduction treatment on noise caused by gradient field switching in the magnetic resonance imaging process can be realized, the noise generated in the gradient field switching process does not need to be collected, and then corresponding noise reduction signals are matched for noise reduction operation, so that the noise reduction scheme is simplified, and the noise reduction cost is saved.

In addition, the waveform amplitude of the platform wave band of the signal gradient waveform to be adjusted is adjusted according to the preset amplitude adjustment parameter, and then the gradient wave band is adjusted to obtain a new gradient wave band based on the target area value and the first area value of the new platform wave band, so that the platform wave band is reserved as far as possible under the condition that the target area value of the signal gradient waveform to be adjusted is kept unchanged, that is, the control parameter is maximally reserved, and the noise problem caused by violent gradient switching is reduced.

In addition, by determining a target gradient function corresponding to the target signal gradient waveform and then storing the target gradient function and the control parameter in a preset database in a correlation manner, the target signal gradient waveform or the target gradient function corresponding to the target signal gradient waveform can be searched from the preset database for gradient field switching control without repeating the adjustment step of the gradient waveform when the gradient field is controlled by adopting a signal which is consistent with the control parameter next time.

Referring to fig. 4, fig. 4 is a block diagram of a gradient field control apparatus according to an embodiment of the present disclosure. The gradient field control device in this embodiment comprises units for performing the steps in the embodiment corresponding to fig. 1 and 3. Please refer to fig. 1 and fig. 3, and fig. 1 and fig. 3 for the corresponding embodiments. For convenience of explanation, only the portions related to the present embodiment are shown. Referring to fig. 4, the gradient field control apparatus 400 includes: a first obtaining unit 41, a first determining unit 42, a first adjusting unit 43, a second adjusting unit 44, and an executing unit 45. Wherein:

a first obtaining unit 41, configured to obtain preset scan sequence parameters and control parameters; wherein the control parameter is used for describing a gradient waveform of a signal to be adjusted.

A first determining unit 42, configured to determine a target area value of the gradient waveform of the signal to be adjusted according to the scan sequence parameter and the control parameter; the gradient waveform of the signal to be adjusted comprises a platform wave band and a gradual change wave band.

And a first adjusting unit 43, configured to adjust the waveform amplitude of the platform band according to a preset amplitude adjustment parameter, so as to obtain a new platform band.

A second adjusting unit 44, configured to perform smooth adjustment on the gradient band based on the target area value and the first area value of the new platform band, so as to obtain a new gradient band; wherein a sum of the second area value and the first area value of the new transition band is equal to the target area value.

And an executing unit 45, configured to control the gradient field based on a target signal gradient waveform composed of the new gradient band and the new platform band.

As an embodiment of the present application, the control parameter includes a gradient function for describing a gradient waveform of the signal to be adjusted; the scan sequence parameters include: k-space dimensions, K-space cell dimensions, gyromagnetic ratio of nuclei, scan field of view, bandwidth, sampling time, and the number of sample points associated with the sampling time.

As an embodiment of the present application, the first determining unit 42 is specifically configured to calculate a target area value of the gradient waveform of the signal to be adjusted by the following formula;

k＝N·Δk；

wherein K (t) is a K space position of the sampling time at the t moment; gamma is the gyromagnetic ratio of the nuclei; g (t)^′) Is the gradient function; k is the K-space dimension; n is the number of the sampling points; Δ K is the K-space unit size; the FOV is the scan field of view; a is the target area value; BW is the bandwidth.

As an embodiment of the present application, the first adjusting unit 43 is specifically configured to determine the plateau amplitude value of the plateau wavelength band according to the gradient function; adjusting the platform amplitude value according to a preset amplitude adjustment parameter to obtain a new platform amplitude value; wherein the amplitude value of the new platform band is equal to the sum of the platform amplitude value and the adjustment parameter; and obtaining the new platform wave band according to the new platform amplitude value.

As an embodiment of the present application, the sampling time includes a plateau band duration and a transition band duration; the number of the sampling points comprises a first sampling point number corresponding to the platform wave band duration and a second sampling point number corresponding to the gradual change wave band duration.

The second adjusting unit 44 is specifically configured to obtain the number of the first sampling points; identifying a product of the number of the first sampling points and the new plateau amplitude value as the first area value; measuring and calculating the difference between the target area value and the first area value to obtain an adjusted area value; and carrying out smooth adjustment on the gradual change wave band based on the adjustment area value to obtain a new gradual change wave band.

As an embodiment of the present application, the taper band includes a plurality of taper points that are continuous over the duration of the taper band; the second adjustment unit 44 is used in particular for,

obtaining the duration of the gradual change wave band;

determining a plurality of fade points based on the fade band duration;

adjusting the amplitude value of each gradient point through the following formula to obtain a plurality of new gradient points;

X(t)＝1-exp(-w*t)；

G(t)＝G0*Xn(t)；

wherein X (t) is the new fade point; t is the time in the duration of the gradual change waveband; w is an adjustment factor, and 0< | w | < 1; xn (t) characterizes the normalized result of X (t); g0 is the amplitude value of the gradual change point; g (t) is the amplitude value of the new gradient point; and the new gradual change points form a new gradual change wave band, and the sum of the amplitude values of the new gradual change points is equal to the adjustment area value.

As an embodiment of the present application, the gradient field control device 400 further includes: a second determination unit 46 and a storage unit 47. Specifically, the method comprises the following steps:

a second determining unit 46 for determining a target gradient function corresponding to the target signal gradient waveform.

The storage unit 47 is configured to store the target gradient function and the control parameter in a preset database in an associated manner.

It can be seen from the above that, in the scheme provided in this embodiment, by obtaining the preset scan sequence parameters and control parameters, since the control parameters can be used to describe the gradient waveform of the signal to be adjusted, the target area value of the gradient waveform of the signal to be adjusted can be determined according to the scan sequence parameters and the control parameters, and the gradient waveform of the signal to be adjusted includes a platform band and a transition band, since the larger the difference between inflection points of the signal represented by the transition band is, the larger the noise in the gradient field switching process is, the waveform amplitude of the platform band of the gradient waveform of the signal to be adjusted is adjusted according to the preset amplitude adjustment parameters, and then based on the target area value and the first area value of the new platform band, the smooth adjustment is performed on the transition band to obtain the new transition band, thereby reducing the difference between inflection points of the signal represented by the original transition band, and finally based on the target signal gradient waveform composed of the new transition band and the new platform band to control, noise reduction treatment can be realized to the noise that the switching gradient place leads to at the magnetic resonance imaging in-process, need not to gather the noise that the gradient field switching in-process produced, the operation of making an uproar falls in the corresponding signal of making an uproar that falls of relatching again, has simplified the scheme of making an uproar and has practiced thrift the cost of making an uproar.

In addition, the waveform amplitude of the platform wave band of the signal gradient waveform to be adjusted is adjusted according to the preset amplitude adjustment parameter, and then the gradient wave band is adjusted to obtain a new gradient wave band based on the target area value and the first area value of the new platform wave band, so that the platform wave band is reserved as far as possible under the condition that the target area value of the signal gradient waveform to be adjusted is kept unchanged, that is, the control parameter is maximally reserved, and the noise problem caused by violent gradient switching is reduced.

In addition, by determining a target gradient function corresponding to the target signal gradient waveform and then storing the target gradient function and the control parameter in a preset database in a correlation manner, the target signal gradient waveform or the target gradient function corresponding to the target signal gradient waveform can be searched from the preset database for gradient field switching control without repeating the adjustment step of the gradient waveform when the gradient field is controlled by adopting a signal which is consistent with the control parameter next time.

Fig. 5 is a block diagram of a magnetic resonance imaging apparatus according to another embodiment of the present application. As shown in fig. 5, the magnetic resonance imaging apparatus 5 of the embodiment includes: a processor 50, a memory 51 and a computer program 52, for example a program of a gradient field control method, stored in said memory 51 and executable on said processor 50. The processor 50, when executing the computer program 52, implements the steps in the various embodiments of the gradient field control methods described above, such as S11-S15 shown in fig. 1. Alternatively, when the processor 50 executes the computer program 52, the functions of the units in the embodiment corresponding to fig. 4, for example, the functions of the units 41 to 45 shown in fig. 4, are implemented, for which reference is specifically made to the relevant description in the embodiment corresponding to fig. 5, which is not repeated herein.

Illustratively, the computer program 52 may be divided into one or more units, which are stored in the memory 51 and executed by the processor 50 to accomplish the present application. The one or more units may be a series of computer program instruction segments capable of performing certain functions, which are used to describe the execution of the computer program 52 in the magnetic resonance imaging apparatus 5. For example, the computer program 52 may be divided into a first acquisition unit, a first determination unit, a first adjustment unit, a second adjustment unit, and an execution unit, each unit functioning specifically as described above.

The magnetic resonance apparatus may include, but is not limited to, a processor 50, a memory 51. It will be appreciated by a person skilled in the art that figure 5 is only an example of a magnetic resonance imaging device 5 and does not constitute a limitation of the magnetic resonance device 5 and that it may comprise more or less components than shown, or some components may be combined, or different components, e.g. the magnetic resonance device may further comprise input output devices, network access devices, buses, etc.

The Processor 50 may be a Central Processing Unit (CPU), other general purpose Processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), an off-the-shelf Programmable Gate Array (FPGA) or other Programmable logic device, discrete Gate or transistor logic, discrete hardware components, etc. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.

The memory 51 may be an internal storage unit of the magnetic resonance imaging apparatus 5, such as a hard disk or a memory of the magnetic resonance imaging apparatus 5. The memory 51 may also be an external storage device of the magnetic resonance imaging apparatus 5, such as a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card), or the like provided on the magnetic resonance imaging apparatus 5. Further, the memory 51 may also comprise both an internal memory unit and an external memory device of the magnetic resonance imaging apparatus 5. The memory 51 is used for storing the computer programs and other programs and data required by the magnetic resonance apparatus. The memory 51 may also be used to temporarily store data that has been output or is to be output.

The above-mentioned embodiments are only used for illustrating the technical solutions of the present application, and not for limiting the same; although the present application has been described in detail with reference to the foregoing embodiments, it should be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; such modifications and substitutions do not substantially depart from the spirit and scope of the embodiments of the present application and are intended to be included within the scope of the present application.