Operation data extraction system based on signal analysis
阅读说明：本技术 基于信号解析的手术数据提取系统 (Operation data extraction system based on signal analysis ) 是由 方勤 于 2020-07-03 设计创作，主要内容包括：本发明涉及一种基于信号解析的手术数据提取系统,包括：第一辨识设备,用于在接收到的头部出血面积大于等于预设面积阈值时,发出开颅请求信号,否则,发出开颅待命信号；第二辨识设备,与所述第一辨识设备连接,用于在接收到的现场肿瘤体积大于等于预设体积阈值时,发出开颅请求信号；所述第二辨识设备还用于在接收到的现场肿瘤体积小于所述预设体积阈值且接收到所述开颅待命信号时,发出暂停开颅信号。本发明的基于信号解析的手术数据提取系统使用简便、判断直接。由于能够基于颅内肿瘤大小决定是否需要执行开颅手术以及基于颅内出血量面积决定是否需要执行开颅手术,从而提升了肿瘤治疗时机判断的自动化水准。(The invention relates to a surgical data extraction system based on signal analysis, which comprises: the first identification device is used for sending a craniotomy request signal when the received head bleeding area is larger than or equal to a preset area threshold value, and otherwise, sending a craniotomy standby signal; the second identification device is connected with the first identification device and used for sending out a craniotomy request signal when the received field tumor volume is larger than or equal to a preset volume threshold; the second identification device is further configured to issue a suspend craniotomy signal when the received field tumor volume is less than the preset volume threshold and the craniotomy standby signal is received. The operation data extraction system based on signal analysis is simple and convenient to use and direct in judgment. Whether the craniotomy needs to be performed or not can be determined based on the size of the intracranial tumor and whether the craniotomy needs to be performed or not can be determined based on the intracranial hemorrhage volume area, so that the automatic level of judging the tumor treatment time is improved.)
1. A surgical data extraction system based on signal analysis, comprising:
the first identification device is used for sending a craniotomy request signal when the received head bleeding area is larger than or equal to a preset area threshold value;
the first identification device is further used for sending out a craniotomy standby signal when the received head bleeding area is smaller than the preset area threshold;
the second identification device is connected with the first identification device and used for sending out a craniotomy request signal when the received field tumor volume is larger than or equal to a preset volume threshold;
the second identification device is further used for sending a craniotomy pause signal when the received field tumor volume is smaller than the preset volume threshold value and the craniotomy standby signal is received;
the real-time scanning device is used for performing X-ray scanning operation on the head area of a patient to obtain and output a corresponding head scanning image;
the signal strengthening device is connected with the real-time scanning device and used for carrying out edge sharpening processing on the received head scanning image so as to obtain a corresponding signal strengthening image;
the characteristic analysis equipment is respectively connected with the first identification equipment and the signal enhancement equipment and is used for identifying each blood object pixel point in the signal enhancement image based on the distribution range of the color channel value corresponding to the blood object and calculating the corresponding head bleeding area based on the number of the blood object pixel points in the signal enhancement image;
the brightness detection device is respectively connected with the second identification device and the signal enhancement device and is used for identifying each tumor object pixel point in the signal enhancement image based on the brightness threshold value corresponding to the tumor object and estimating the corresponding field tumor volume based on the preset tumor shape and the number of the tumor object pixel points in the signal enhancement image;
wherein calculating the corresponding head bleeding area based on the number of blood object pixel points in the signal-enhanced image comprises: the number of blood object pixel points in the signal enhancement image and the head bleeding area present a monotone positive correlation.
2. The signal-parsing based surgical data extraction system of claim 1, wherein:
estimating a corresponding on-site tumor volume based on a preset tumor shape and a number of tumor object pixel points in the signal-enhanced image comprises: the number of tumor object pixel points in the signal-enhanced image and the field tumor volume present a monotonic positive correlation.
3. The signal-parsing based surgical data extraction system of claim 2, wherein:
the tumor object pixel points are used for forming a tumor object in the signal enhanced image, and the blood object pixel points are used for forming a blood object in the signal enhanced image.
4. The signal-parsing based surgical data extraction system of claim 3, wherein:
the preset tumor shape is a spherical shape, and the distribution range of the color channel value corresponding to the blood object is the distribution range of at least one of the red channel value, the blue channel value and the green channel value corresponding to the blood object.
5. The signal-parsing based surgical data extraction system of claim 4, further comprising:
and the field timing equipment is connected with the signal strengthening equipment and is used for providing a timing reference signal for the signal strengthening equipment.
6. The signal-parsing based surgical data extraction system of claim 5, wherein:
the field timing equipment is also connected with the characteristic analysis equipment and used for providing a timing reference signal for the characteristic analysis equipment.
7. The signal-parsing based surgical data extraction system of claim 6, wherein:
the field timing equipment is also connected with the brightness detection equipment and used for providing timing reference signals for the brightness detection equipment.
8. The signal-parsing based surgical data extraction system of claim 7, wherein:
the signal enhancement device, the feature analysis device and the brightness detection device are connected with the same power supply device and are used for respectively obtaining required power supply power from the power supply device.
9. The signal-parsing based surgical data extraction system of claim 8, wherein:
the signal enhancing device, the feature analyzing device and the brightness detecting device are disposed on the same flexible circuit board.
10. The signal-parsing based surgical data extraction system of claim 9, further comprising:
the leakage protection circuit is connected with the signal strengthening equipment and is used for providing leakage protection service for the signal strengthening equipment;
and the CMOS sensor is arranged on the shell of the signal strengthening equipment and is used for acquiring images of the surrounding environment of the signal strengthening equipment.
Technical Field
The invention relates to the field of head and neck tumors, in particular to a surgical data extraction system based on signal analysis.
Background
The head and neck tumor comprises three major parts of neck tumor, otorhinolaryngology tumor and oral cavity maxillofacial tumor. Neck tumors belong to common surgery in comprehensive hospitals, and are thyroid tumors in common; common tumors of the otolaryngology department include laryngeal carcinoma, paranasal sinus carcinoma and the like; oral and maxillofacial tumors are commonly found in various oral cancers, such as tongue cancer, gingival cancer, buccal cancer, etc. Therefore, the tumors of the head and neck, which have many primary sites and pathological types, are the top of the tumors of the whole body. Meanwhile, important organs of the head and the neck are concentrated, the anatomical relationship is complex, and the treatment methods are different.
For the diagnosis of advanced cervical metastatic cancer, the diagnosis depends on inquiring about the history of tumor at other parts, and can be made clearly by means of CT, MR, cervical fine needle aspiration biopsy and the like. Meanwhile, the relationship between the cervical metastatic cancer and the carotid artery can be observed by applying selective carotid angiography and B-ultrasound. For advanced cervical metastatic cancer, a comprehensive therapy method with surgery as the main therapy and radiotherapy and chemotherapy as the auxiliary therapy before and after surgery is adopted.
However, in the conventional treatment mechanism for head and neck tumors, it is impossible to determine whether or not an open cranium operation needs to be performed based on the size of an intracranial tumor and whether or not an open cranium operation needs to be performed based on the intracranial hemorrhage volume area, and the judgment of the treatment timing of the head and neck tumors is too dependent on manual experience.
Disclosure of Invention
The invention has at least the following three important points:
(1) determining whether a craniotomy is required to be performed based on the size of the intracranial tumor and determining whether the craniotomy is required to be performed based on the area of intracranial hemorrhage;
(2) estimating the corresponding field tumor volume based on the preset tumor shape and the number of tumor object pixel points in the head imaging image after the targeted processing;
(3) and calculating the corresponding head bleeding area based on the number of blood object pixel points in the head imaging image subjected to the targeted processing.
According to an aspect of the present invention, there is provided a surgical data extraction system based on signal parsing, the system including:
the first identification device is used for sending a craniotomy request signal when the received head bleeding area is larger than or equal to a preset area threshold value;
the first identification device is further used for sending out a craniotomy standby signal when the received head bleeding area is smaller than the preset area threshold;
the second identification device is connected with the first identification device and used for sending out a craniotomy request signal when the received field tumor volume is larger than or equal to a preset volume threshold;
the second identification device is further used for sending a craniotomy pause signal when the received field tumor volume is smaller than the preset volume threshold value and the craniotomy standby signal is received;
the real-time scanning device is used for performing X-ray scanning operation on the head area of a patient to obtain and output a corresponding head scanning image;
the signal strengthening device is connected with the real-time scanning device and used for carrying out edge sharpening processing on the received head scanning image so as to obtain a corresponding signal strengthening image;
the characteristic analysis equipment is respectively connected with the first identification equipment and the signal enhancement equipment and is used for identifying each blood object pixel point in the signal enhancement image based on the distribution range of the color channel value corresponding to the blood object and calculating the corresponding head bleeding area based on the number of the blood object pixel points in the signal enhancement image;
the brightness detection device is respectively connected with the second identification device and the signal enhancement device and is used for identifying each tumor object pixel point in the signal enhancement image based on the brightness threshold value corresponding to the tumor object and estimating the corresponding field tumor volume based on the preset tumor shape and the number of the tumor object pixel points in the signal enhancement image;
wherein calculating the corresponding head bleeding area based on the number of blood object pixel points in the signal-enhanced image comprises: the number of blood object pixel points in the signal enhancement image and the head bleeding area present a monotone positive correlation.
The operation data extraction system based on signal analysis is simple and convenient to use and direct in judgment. Whether the craniotomy needs to be performed or not can be determined based on the size of the intracranial tumor and whether the craniotomy needs to be performed or not can be determined based on the intracranial hemorrhage volume area, so that the automatic level of judging the tumor treatment time is improved.
Drawings
Embodiments of the invention will now be described with reference to the accompanying drawings, in which:
fig. 1 is a schematic view of a bleeding human head to which a surgical data extraction system based on signal analysis is applied according to an embodiment of the present invention.
Detailed Description
Embodiments of the surgical data extraction system based on signal analysis according to the present invention will be described in detail below with reference to the accompanying drawings.
According to the data provided by the international epidemiological research organization, the annual incidence rate of the head and neck tumors is 15.22/10 ten thousand in recent years, and accounts for 4.45 percent of the malignant tumors of the whole body. The onset of head and neck tumors was, according to site, laryngeal (32.1%), thyroid (19.6%), oral (16.1%), nasopharynx (14.9%), paranasal sinus (6.6%), salivary gland (4.2%), oral (3.3%), ocular (1.52%), hypopharynx (1.5%) in order. In gender, except thyroid tumor women (14.2%) were significantly more numerous than men (5.40%), the rest were men.
The incidence of head and neck tumors varies from place to place due to different living environments and different pathogenic factors. For example, nasopharyngeal carcinoma is more frequently encountered in two areas of China, while thyroid tumor is more frequently encountered in coastal and inland areas lacking iodine.
The intracranial tumor mechanism in the prior art cannot determine whether the craniotomy needs to be performed or not based on the size of the intracranial tumor and determine whether the craniotomy needs to be performed or not based on the intracranial hemorrhage volume area, so that the judgment of the treatment time of the head and neck tumor is too dependent on manual experience, on one hand, the reliability of diagnosis is not high, and on the other hand, a complex judgment procedure is needed.
In order to overcome the defects, the invention builds a surgical data extraction system based on signal analysis, and can effectively solve the corresponding technical problem.
Fig. 1 is a schematic view of a bleeding human head scene applied by a surgical data extraction system based on signal analysis according to an embodiment of the present invention, wherein the system comprises:
the first identification device is used for sending a craniotomy request signal when the received head bleeding area is larger than or equal to a preset area threshold value;
the first identification device is further used for sending out a craniotomy standby signal when the received head bleeding area is smaller than the preset area threshold;
the second identification device is connected with the first identification device and used for sending out a craniotomy request signal when the received field tumor volume is larger than or equal to a preset volume threshold;
the second identification device is further used for sending a craniotomy pause signal when the received field tumor volume is smaller than the preset volume threshold value and the craniotomy standby signal is received;
the real-time scanning device is used for performing X-ray scanning operation on the head area of a patient to obtain and output a corresponding head scanning image;
the signal strengthening device is connected with the real-time scanning device and used for carrying out edge sharpening processing on the received head scanning image so as to obtain a corresponding signal strengthening image;
the characteristic analysis equipment is respectively connected with the first identification equipment and the signal enhancement equipment and is used for identifying each blood object pixel point in the signal enhancement image based on the distribution range of the color channel value corresponding to the blood object and calculating the corresponding head bleeding area based on the number of the blood object pixel points in the signal enhancement image;
the brightness detection device is respectively connected with the second identification device and the signal enhancement device and is used for identifying each tumor object pixel point in the signal enhancement image based on the brightness threshold value corresponding to the tumor object and estimating the corresponding field tumor volume based on the preset tumor shape and the number of the tumor object pixel points in the signal enhancement image;
wherein calculating the corresponding head bleeding area based on the number of blood object pixel points in the signal-enhanced image comprises: the number of blood object pixel points in the signal enhancement image and the head bleeding area present a monotone positive correlation.
Next, a detailed configuration of the surgical data extraction system based on signal analysis according to the present invention will be further described.
In the signal-parsing based surgical data extraction system:
estimating a corresponding on-site tumor volume based on a preset tumor shape and a number of tumor object pixel points in the signal-enhanced image comprises: the number of tumor object pixel points in the signal-enhanced image and the field tumor volume present a monotonic positive correlation.
In the signal-parsing based surgical data extraction system:
the tumor object pixel points are used for forming a tumor object in the signal enhanced image, and the blood object pixel points are used for forming a blood object in the signal enhanced image.
In the signal-parsing based surgical data extraction system:
the preset tumor shape is a spherical shape, and the distribution range of the color channel value corresponding to the blood object is the distribution range of at least one of the red channel value, the blue channel value and the green channel value corresponding to the blood object.
The surgical data extraction system based on signal analysis may further include:
and the field timing equipment is connected with the signal strengthening equipment and is used for providing a timing reference signal for the signal strengthening equipment.
In the signal-parsing based surgical data extraction system:
the field timing equipment is also connected with the characteristic analysis equipment and used for providing a timing reference signal for the characteristic analysis equipment.
In the signal-parsing based surgical data extraction system:
the field timing equipment is also connected with the brightness detection equipment and used for providing timing reference signals for the brightness detection equipment.
In the signal-parsing based surgical data extraction system:
the signal enhancement device, the feature analysis device and the brightness detection device are connected with the same power supply device and are used for respectively obtaining required power supply power from the power supply device.
In the signal-parsing based surgical data extraction system:
the signal enhancing device, the feature analyzing device and the brightness detecting device are disposed on the same flexible circuit board.
The surgical data extraction system based on signal analysis may further include:
the leakage protection circuit is connected with the signal strengthening equipment and is used for providing leakage protection service for the signal strengthening equipment;
and the CMOS sensor is arranged on the shell of the signal strengthening equipment and is used for acquiring images of the surrounding environment of the signal strengthening equipment.
In addition, CMOS (Complementary Metal-Oxide-Semiconductor), which is known as CMOS in the Chinese scientific name, is an important chip in a computer system and stores the most basic data for system booting. The CMOS manufacturing technology is not different from that of a common computer chip, and mainly utilizes a semiconductor made of two elements, namely silicon and germanium, so that N (band-electric) and P (band + electric) level semiconductors coexist on the CMOS, and the current generated by the two complementary effects can be recorded and interpreted into an image by a processing chip. CMOS has later been processed to also serve as an image sensor in digital photography.
For portable applications independent of the power grid, CMOS technology, which is known for its low power consumption characteristics, has a clear advantage: CMOS image sensors are designed for 5V and 3.3V supply voltages. The CCD chip requires a power supply voltage of about 12V, and therefore a voltage converter has to be employed, resulting in an increase in power consumption. Integrating control and system functions into a CMOS sensor would provide another benefit in terms of overall power consumption: he removes all external connection lines to other semiconductor elements. Drivers with their high power consumption have been abandoned today because the energy consumed to communicate inside the chip is much lower than with external implementations through a PCB or substrate.
CMOS sensors can also be subdivided into Passive Pixel sensors (Passive Pixel Sensor CMOS) and Active Pixel sensors (Active Pixel Sensor CMOS).
A Passive Pixel Sensor (PPS), also called Passive Pixel Sensor, is composed of a reverse biased photodiode and a switching transistor. The photodiode is essentially a PN junction composed of a P-type semiconductor and an N-type semiconductor, and it can be equivalently a reverse biased diode in parallel with a MOS capacitor. When the switch tube is opened, the photosensitive diode is communicated with a vertical Column line (Column bus). A Charge integrating amplifier read circuit (Charge integrating amplifier) at the end of the column line keeps the column line voltage constant, and when the signal Charge stored in the photodiode is read, the voltage is reset to the column line voltage level, and at the same time, the Charge proportional to the optical signal is converted into a Charge output by the Charge integrating amplifier.
An Active Pixel Sensor (APS) is also called an Active Pixel Sensor. Almost at the same time as the invention of the CMOS PPS pixel structure, it was quickly realized that the performance of the pixel could be improved by introducing buffers or amplifiers within the pixel, with its own amplifier within each pixel in the CMOS APS. The amplifying transistor integrated on the surface reduces the effective surface area of the pixel element, reduces the packaging density and enables 40% -50% of incident light to be reflected. Another problem with such sensors is how to achieve a better match between the multi-channel amplifiers of the sensor, which can be better achieved by reducing the residual level of fixed pattern noise. CMOS APS has less power consumption than CCD image sensors because each amplifier within the pixel is activated only during this readout.
It is to be understood that while the present invention has been described in conjunction with the preferred embodiments thereof, it is not intended to limit the invention to those embodiments. It will be apparent to those skilled in the art from this disclosure that many changes and modifications can be made, or equivalents modified, in the embodiments of the invention without departing from the scope of the invention. Therefore, any simple modification, equivalent change and modification made to the above embodiments according to the technical essence of the present invention are still within the scope of the protection of the technical solution of the present invention, unless the contents of the technical solution of the present invention are departed.