阅读说明：本技术 一种普通ct计算机影像组学结石成分分析系统及方法 (Calculus component analysis system and method for common CT computer image omics ) 是由 黄泽瑞 殷国民 于 2020-12-30 设计创作，主要内容包括：本发明涉及医学影像技术领域,尤其为一种普通CT计算机影像组学结石成分分析系统及方法,包括中央处理系统、数据采集单元、数据分析模块、打印设备和手机终端,所述中央处理系统的输入端单向电连接有系统防火墙,所述数据采集单元和系统防火墙通过无线网络连接；本发明通过CT计算机影像组学对结石成分进行分析,并与数据库中的数据进行比对,弥补了现有结石分析方法的不足,具有可以更精确、有效的对结石进行检测分析,防止数据在传输过程出现丢失,进而能够降低检测误差的优点,解决了目前结石成分分析主要是采用红外光谱检测分析,结石样品的红外光吸收谱带特征性不够强,导致某些结石成分检测存在一定误差的问题。(The invention relates to the technical field of medical images, in particular to a calculus component analysis system and a calculus component analysis method for a common CT computer image omics, which comprises a central processing system, a data acquisition unit, a data analysis module, a printing device and a mobile phone terminal, wherein the input end of the central processing system is unidirectionally and electrically connected with a system firewall, and the data acquisition unit is connected with the system firewall through a wireless network; the invention analyzes the calculus components through CT computer image omics and compares the calculus components with the data in the database, overcomes the defects of the existing calculus analysis method, has the advantages of more accurate and effective calculus detection and analysis, prevents the data from being lost in the transmission process, further reduces the detection error, and solves the problem that the detection of certain calculus components has certain error because the infrared spectrum detection and analysis is mainly adopted in the existing calculus component analysis, and the infrared absorption spectrum band of a calculus sample is not strong enough in characteristic.)

1. A calculus component analysis system of a common CT computer imaging omics is characterized in that: comprises a central processing system, a data acquisition unit, a data analysis module, a printing device and a mobile phone terminal, wherein,

the input end of the central processing system is unidirectionally and electrically connected with a system firewall, the data acquisition unit is connected with the system firewall through a wireless network, the output end of the central processing system is unidirectionally and electrically connected with the input end of the data analysis module, the output end of the data analysis module is unidirectionally and electrically connected with an information storage module, the data analysis module is connected with the printing equipment through a wireless network, the output end of the data analysis module is unidirectionally and electrically connected with a medical record generation module, and the medical record generation module is connected with the mobile phone terminal through a mobile network;

the central processing system comprises an information transceiver, an information transcoder, an information processor and an information management center, wherein the output end of the information transceiver is in one-way electric connection with the input end of the information transcoder, the output end of the information transcoder is in one-way electric connection with the input end of the information processor, and the output end of the information processor is in two-way electric connection with the input end of the information management center.

2. The system of claim 1, wherein the system comprises: the data acquisition unit comprises an X-ray diffractometer, a data transmission module and a wireless communication module, wherein the output end of the X-ray diffractometer is in one-way electric connection with the input end of the data transmission module, and the output end of the data transmission module is in one-way electric connection with the input end of the wireless communication module.

3. The system of claim 1, wherein the system comprises: the central processing system is prestored with calculus component detection data, and the calculus component detection data is stored in the information management center.

4. The system of claim 1, wherein the system comprises: the X-ray diffractometer is characterized in that the wavelength of diffracted X-rays is 0.06-20nm, and the diffracted X-rays are electromagnetic waves.

5. The system of claim 1, wherein the system comprises: the printing equipment is WIFI wireless printer, and the model of printing equipment is IX6880 or TS 3380.

6. A method for analyzing components of calculi in CT computer imaging group, which comprises the steps of: the method comprises the following steps:

(1) data acquisition: directly placing a calculus sample in a sample detection area, scanning calculus by an X-ray diffractometer, sending acquired original data to a data transmission module by the X-ray diffractometer, and then uploading the original data to a wireless communication module by the data transmission module;

(2) safety monitoring: the wireless communication module sends the original data to the central processing system through a wireless network, a system firewall intercepts the data and detects the equipment source of the original data, and the system firewall sends the original data to the central processing system after the equipment is matched correctly;

(3) data processing: an information transceiver in the central processing system receives original data and sends the original data to an information transcoder, the original data are converted into waveform images, then the information transcoder sends the waveform images to an information processor, and the information processor filters clutter interference and then sends the waveform images to an information management center for storage;

(4) and (3) component analysis: the central processing system sends the processed waveform image to the data analysis module, the data analysis module analyzes and processes the waveform image and judges the composition of the calculus, and the data analysis module sends the analysis result to the information storage module and the medical record generation module respectively;

(5) and (3) generation of medical records: and the medical record generation module generates a medical record report according to the information of the patient and the analysis result of the calculus, and finally sends the medical record report to the collection terminal through the mobile network for the patient to read.

7. The method for analyzing calculus components in CT computed tomography according to claim 6, wherein the method comprises the following steps: in the step (2), the working content of the system firewall is to detect whether the device source of the original data corresponds to the pre-stored device information.

8. The method for analyzing calculus components in CT computed tomography according to claim 6, wherein the method comprises the following steps: in the step (4), the printing device receives the analysis result of the data analysis module through the wireless network, and prints the analysis result for the medical staff to check.

9. The method for analyzing calculus components in CT computed tomography according to claim 6, wherein the method comprises the following steps: in the step (5), the medical record generation module generates a two-dimensional identification code for the medical record report, and the mobile phone terminal of the patient is connected with the database of the medical record generation module through the code scanning module for downloading.

Technical Field

The invention relates to the technical field of medical imaging, in particular to a calculus component analysis system and method of a common CT computer imaging omics.

Background

CT is electronic computerized tomography, which uses precisely collimated X-ray beam, gamma ray, ultrasonic wave, etc. to scan the cross section of human body one by one together with detector with very high sensitivity. Imaging omics refers to the high-throughput extraction and analysis of a large number of high-dimensional quantitative image features from MRI, PET and CT images. By feature extraction and analysis of medical images, assessment is provided for diagnosis and treatment of patient prognosis and prognosis.

Urinary calculus, biliary calculus, pancreatic calculus, salivary gland calculus, dental calculus and the like are collectively called as lithiasis, the lithiasis is a lifelong disease, the recurrence rate is high, and the analysis of lithiasis components plays a vital role in lithiasis treatment and recurrence prevention. Different calculus, its composition is different, therefore to the analysis of calculus composition, not only help the pertinence to correct the life habit, but also can be according to the more accurate selection of analysis result and dissolve the stone medicine, reach quick treatment, the maximize alleviates painful effect of patient.

At present, the stone component analysis mainly adopts infrared spectrum detection and analysis, the infrared absorption spectrum band characteristic of a stone sample is not strong enough, certain errors exist in certain stone component detection, the stone component detection needs to be carried out before stone detection, the labor cost of the stone component analysis is increased, the stone component analysis is carried out through CT computer image omics, and the stone component analysis is compared with data in a database, so that the stone component analysis system and the method can be more accurate and effective in detecting and analyzing stones, prevent data from being lost in the transmission process, and further can reduce the detection errors to solve the problem.

Disclosure of Invention

The invention aims to provide a calculus component analysis system and a calculus component analysis method in a common CT computer image omics, so as to solve the problems in the background technology.

In order to achieve the purpose, the invention provides the following technical scheme: a general CT computer image omics calculus composition analysis system comprises a central processing system, a data acquisition unit, a data analysis module, a printing device and a mobile phone terminal, wherein the input end of the central processing system is unidirectionally and electrically connected with a system firewall, the data acquisition unit and the system firewall are connected through a wireless network, the output end of the central processing system is unidirectionally and electrically connected with the input end of the data analysis module, the output end of the data analysis module is unidirectionally and electrically connected with an information storage module, the data analysis module is connected with the printing device through the wireless network, the output end of the data analysis module is unidirectionally and electrically connected with a medical record generation module, and the medical record generation module is connected with the mobile phone terminal through a mobile network;

the central processing system comprises an information transceiver, an information transcoder, an information processor and an information management center, wherein the output end of the information transceiver is in one-way electric connection with the input end of the information transcoder, the output end of the information transcoder is in one-way electric connection with the input end of the information processor, and the output end of the information processor is in two-way electric connection with the input end of the information management center.

Preferably, the data acquisition unit comprises an X-ray diffractometer, a data transmission module and a wireless communication module, wherein the output end of the X-ray diffractometer is in one-way electric connection with the input end of the data transmission module, and the output end of the data transmission module is in one-way electric connection with the input end of the wireless communication module.

Preferably, the central processing system is pre-stored with the calculus component detection data, and the calculus component detection data is stored inside the information management center.

Preferably, the X-ray diffractometer diffracts X-rays with a wavelength of 0.06-20nm, and the diffracted X-rays are electromagnetic waves.

Preferably, the printing device is a WIFI wireless printer, and the model of the printing device is IX6880 or TS 3380.

A calculus component analysis method in a common CT computer imaging omics comprises the following steps:

(1) data acquisition: directly placing a calculus sample in a sample detection area, scanning calculus by an X-ray diffractometer, sending acquired original data to a data transmission module by the X-ray diffractometer, and then uploading the original data to a wireless communication module by the data transmission module;

(2) safety monitoring: the wireless communication module sends the original data to the central processing system through a wireless network, a system firewall intercepts the data and detects the equipment source of the original data, and the system firewall sends the original data to the central processing system after the equipment is matched correctly;

(3) data processing: an information transceiver in the central processing system receives original data and sends the original data to an information transcoder, the original data are converted into waveform images, then the information transcoder sends the waveform images to an information processor, and the information processor filters clutter interference and then sends the waveform images to an information management center for storage;

(4) and (3) component analysis: the central processing system sends the processed waveform image to the data analysis module, the data analysis module analyzes and processes the waveform image and judges the composition of the calculus, and the data analysis module sends the analysis result to the information storage module and the medical record generation module respectively;

(5) and (3) generation of medical records: and the medical record generation module generates a medical record report according to the information of the patient and the analysis result of the calculus, and finally sends the medical record report to the collection terminal through the mobile network for the patient to read.

Preferably, in the step (2), the firewall of the system works to detect whether the source of the device of the original data corresponds to the pre-stored device information.

Preferably, in the step (4), the printing device receives the analysis result of the data analysis module through a wireless network, and prints out the analysis result for the medical staff to view.

Preferably, in the step (5), the medical record generation module generates a two-dimensional identification code for the medical record report, and the mobile phone terminal of the patient is connected with the database of the medical record generation module through the code scanning module for downloading.

Compared with the prior art, the invention has the following beneficial effects:

the invention analyzes the calculus components through CT computer image omics and compares the calculus components with the data in the database, overcomes the defects of the existing calculus analysis method, has the advantages of more accurate and effective calculus detection and analysis, prevents the data from being lost in the transmission process, further reduces the detection error, and solves the problem that the detection of certain calculus components has certain error because the infrared spectrum detection and analysis is mainly adopted in the existing calculus component analysis, and the infrared absorption spectrum band of a calculus sample is not strong enough in characteristic.

Drawings

FIG. 1 is a schematic block diagram of the system of the present invention;

FIG. 2 is a block diagram of a data acquisition unit according to the present invention;

FIG. 3 is a block diagram of the CPU system of the present invention.

Detailed Description

The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.

Referring to fig. 1-3, a general CT computer image omics calculus component analysis system comprises a central processing system, a data acquisition unit, a data analysis module, a printing device and a mobile phone terminal, wherein the input end of the central processing system is unidirectionally and electrically connected with a system firewall, the data acquisition unit is connected with the system firewall through a wireless network, the output end of the central processing system is unidirectionally and electrically connected with the input end of the data analysis module, the output end of the data analysis module is unidirectionally and electrically connected with an information storage module, the data analysis module is connected with the printing device through a wireless network, the output end of the data analysis module is unidirectionally and electrically connected with a medical record generation module, the medical record generation module is connected with the mobile phone terminal through a mobile network, the invention analyzes calculus components through CT computer images and compares the calculus components with data in a database, the method overcomes the defects of the existing calculus analysis method, has the advantages of more accurate and effective calculus detection and analysis, prevents data from being lost in the transmission process, and further can reduce the detection error, and solves the problems that infrared spectrum detection and analysis are mainly adopted in the existing calculus component analysis, the infrared light absorption spectrum band characteristic of a calculus sample is not strong enough, and certain errors exist in the detection of certain calculus components.

In this embodiment, central processing system includes information transceiver, information transcoder, information processor and information management center, information transceiver's output is one-way electricity with information transcoder's input and is connected, information transcoder's output is one-way electricity with information processor's input, information processor's output is two-way electricity with information management center's input and is connected, through information transceiver, information transcoder, information processor and information management center's setting, can carry out the preliminary treatment to the calculus composition data of gathering, and then can promote calculus composition analysis's accuracy.

In this embodiment, the data acquisition unit includes X-ray diffractometer, data transmission module and wireless communication module, and the output of X-ray diffractometer is one-way electricity with data transmission module's input and is connected, and data transmission module's output is one-way electricity with wireless communication module's input, through the setting of X-ray diffractometer, data transmission module and wireless communication module, is convenient for scan the calculus, and can send calculus composition data to central processing system.

In this embodiment, the central processing system stores the calculus component detection data in advance, and the calculus component detection data is stored inside the information management center, so as to facilitate analysis and processing of calculus components.

In the embodiment, the X-ray diffraction instrument has the wavelength of the diffracted X-rays of 0.06-20nm and the diffracted X-rays are electromagnetic waves, so that the accuracy of the calculus component scanning can be improved.

In this embodiment, printing apparatus is WIFI wireless printer, and printing apparatus's model is IX6880 or TS3380, can guarantee that the analysis result is clearly visible when printing.

A calculus component analysis method in a common CT computer imaging omics comprises the following steps:

(1) data acquisition: directly placing a calculus sample in a sample detection area, scanning calculus by an X-ray diffractometer, sending acquired original data to a data transmission module by the X-ray diffractometer, and then uploading the original data to a wireless communication module by the data transmission module;

(2) safety monitoring: the wireless communication module sends the original data to the central processing system through a wireless network, a system firewall intercepts the data and detects the equipment source of the original data, the system firewall sends the original data to the central processing system after the equipment is correctly matched, the working content of the system firewall is to detect whether the equipment source of the original data corresponds to the pre-stored equipment information, the safety of the central processing system can be protected, the invasion of other external systems is avoided, and therefore important data can be prevented from being lost;

(3) data processing: an information transceiver in the central processing system receives original data and sends the original data to an information transcoder, the original data are converted into waveform images, then the information transcoder sends the waveform images to an information processor, and the information processor filters clutter interference and then sends the waveform images to an information management center for storage;

(4) and (3) component analysis: the central processing system sends the processed waveform image to the data analysis module, the data analysis module analyzes and processes the waveform image to judge the composition of the calculus, the data analysis module sends the analysis result to the information storage module and the medical record generation module respectively, the printing equipment receives the analysis result of the data analysis module through a wireless network and prints the analysis result for the medical staff to check, and convenience is brought to the medical staff to know the state of the illness of the patient;

(5) and (3) generation of medical records: the medical record generation module generates a medical record report according to the information of the patient and the analysis result of the calculus, and finally sends the medical record report to the collection terminal through the mobile network for the patient to read, the medical record generation module generates a two-dimensional identification code for the medical record report, and the mobile phone terminal of the patient is connected with the database of the medical record generation module through a scanning code to download, so that the calculus analysis result can correspond to the information of the patient one to one, and the diagnosis result can be conveniently informed to the patient.

The invention analyzes the calculus components through CT computer image omics and compares the calculus components with the data in the database, overcomes the defects of the existing calculus analysis method, has the advantages of more accurate and effective calculus detection and analysis, prevents the data from being lost in the transmission process, further reduces the detection error, and solves the problem that the detection of certain calculus components has certain error because the infrared spectrum detection and analysis is mainly adopted in the existing calculus component analysis, and the infrared absorption spectrum band of a calculus sample is not strong enough in characteristic.

It is noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other identical elements in a process, method, article, or apparatus that comprises the element.

Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that changes, modifications, substitutions and alterations can be made in these embodiments without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.