WO2023115576A1

WO2023115576A1 - Blood vessel information processing method and apparatus, and computer-readable storage medium

Info

Publication number: WO2023115576A1
Application number: PCT/CN2021/141358
Authority: WO
Inventors: 张超; 赵清华; 毛益进; 欧建新; 刘伟
Original assignee: 北京阅影科技有限公司
Priority date: 2021-12-24
Filing date: 2021-12-24
Publication date: 2023-06-29

Abstract

Disclosed in the present application are a blood vessel information processing method and apparatus, and a computer-readable storage medium. The method comprises: acquiring image data of a target object by using a data acquisition device, wherein the data acquisition device is deployed at a network port of an image data acquisition device and is used for acquiring, by means of a remote mode, the image data from the image data acquisition device; preprocessing the image data to obtain a blood vessel image; processing the blood vessel image to obtain blood vessel information; and generating a blood vessel analysis report on the basis of the blood vessel information. The present application solves the technical problem in the related art of the reliability of a non-invasive blood vessel feature analysis mode used being relatively low.

Description

Method and device for processing blood vessel information, and computer-readable storage medium

technical field

The present application relates to the technical field of medical image processing, and in particular, to a method and device for processing blood vessel information, and a computer-readable storage medium.

Background technique

Blood vessels are the channels through which the human body transports blood. According to the direction of transport, blood vessels can be divided into arteries, veins and capillaries. At present, the incidence of vascular diseases is on the rise, and has become one of the major diseases that seriously threaten the quality of human life and quality of life. For example, intracranial atherosclerotic stenosis (Intracranial Atherosclerotic Stenosis, ICAS) is an important cause of ischemic stroke; for example, the coronary artery may be narrowed, resulting in restricted blood flow to the heart. Patients with coronary artery disease Chest pain may be experienced and more severe manifestations may lead to myocardial infarction.

In order to evaluate and diagnose the function of blood vessels, it is necessary to obtain accurate data related to vascular lesions, such as size, shape, location, functional significance (eg, whether the lesion affects blood flow), etc. Current diagnostic methods are invasive and non-invasive. For example, in coronary artery diagnosis, commonly used invasive methods include coronary angiography and non-invasive methods such as CTA.

Among them, in the prior art, in order to complete the non-invasive analysis of vascular characteristics, the following process is required: Step 1. Acquisition or transmission of patient medical images (including but not limited to CT, MRI, DSA, etc.); Step 2. Patient medical treatment Storage and screening of image data; Step 3. Fully automatic or semi-automatic vessel segmentation and extraction; Step 4. (Optional) Doctor intervention to correct automatic or semi-automatic analysis results; Step 5. (Optional) Vessel feature modeling and analysis ; Step 6. Analysis and diagnosis report generation and presentation, etc.

In the currently known methods and schemes, all the steps are undertaken by a single computer. Among them, the above step 3 and the above step 6 need to be undertaken by computers with powerful computing power CPU and GPU. In terms of deployment, machines with the same configuration are objectively required for each implementation point, resulting in high hardware costs; secondly, single-machine deployment of multiple deployment points, in In terms of data collection and management, objectively, patients and patient image data need to be configured and managed independently. First, there are higher requirements for disk storage space and higher costs. Second, the decentralized management of data leads to the dispersion or separation of patients and data. The possible repeated storage also brings hidden dangers to safety management; thirdly, in the research of vascular diseases, after new methods and solutions are developed, they need to be upgraded and deployed one by one, which makes expansion and maintenance difficult and costs rise.

It can be seen from the above that the method adopted in related technologies has the following disadvantages: 1. Repeated deployment of a single machine is expensive; 2. Patients and image data are scattered, which is not conducive to management; 3. Poor scalability makes it difficult to deploy new analysis steps and methods.

For the above problems, no effective solution has been proposed yet.

Contents of the invention

Embodiments of the present application provide a blood vessel information processing method and device thereof, and a computer-readable storage medium, so as to at least solve the technical problem of low reliability of the non-invasive blood vessel feature analysis method used in the related art.

According to an aspect of an embodiment of the present application, a method for processing blood vessel information is provided, including: acquiring image data of a target object by using a data acquisition device, wherein the data acquisition device is deployed at a network port of the image data acquisition device, It is used to obtain the image data from the image data acquisition device in a remote mode; preprocess the image data to obtain a blood vessel image; process the blood vessel image to obtain blood vessel information; generate a blood vessel image based on the blood vessel information Vascular Analysis Report.

Optionally, preprocessing the image data to obtain a blood vessel image includes: filtering the image data based on a predetermined filtering method to obtain an initial blood vessel image, wherein the filtering method is used to filter out the image data In the non-vascular area, and the filtering condition in the filtering method is obtained by at least one of the following methods: pre-configured, obtained from a data processing center; marking the initial blood vessel image to obtain the blood vessel image.

Optionally, processing the blood vessel image to obtain blood vessel information includes: acquiring characteristic information of the target object; selecting a method for processing the blood vessel image based on the characteristic information and/or the image data; A blood vessel processing strategy: processing the blood vessel image based on the blood vessel processing strategy to obtain the blood vessel information.

Optionally, processing the blood vessel image based on the blood vessel processing strategy to obtain the blood vessel information includes: performing segmentation processing on the blood vessel image to obtain a target blood vessel image; extracting a blood vessel centerline based on the target blood vessel image ; acquiring a vessel outline of the target vessel image; generating a vessel model based on the vessel outline and the vessel centerline; analyzing the vessel model to obtain the vessel information.

Optionally, analyzing the blood vessel model to obtain the blood vessel information includes: acquiring blood vessel analysis requirements of the target object; generating a startup instruction based on the blood vessel analysis requirements; triggering a feature analysis module to start based on the startup instruction , to use the feature analysis module to analyze the blood vessel model to obtain the blood vessel information, wherein the blood vessel information includes at least one of the following: vascular reserve fraction, vascular pressure, and vascular state.

Optionally, after the blood vessel image is processed to obtain the blood vessel information, the processing method of the blood vessel information further includes: determining that the blood vessel information cannot generate the blood vessel analysis report; sending the image data to the first A predetermined terminal, wherein the image data is updated at the first predetermined terminal to obtain updated image data; obtain the updated image data returned by the first predetermined terminal; The data is analyzed to obtain blood vessel information; and the blood vessel analysis report is generated based on the blood vessel information.

Optionally, after the blood vessel analysis report is generated based on the blood vessel information, the blood vessel information processing method further includes: when it is determined that there is no abnormality in the blood vessel analysis report, sending the blood vessel analysis report to a second predetermined terminal , so as to use the second predetermined terminal to display the blood vessel analysis report.

According to another aspect of the embodiments of the present application, there is also provided a processing device for blood vessel information, including: an acquisition module, configured to acquire image data of a target object by using a data acquisition device, wherein the data acquisition device is deployed on the image data acquisition device The network port of the network port is used to obtain image data from the image data acquisition device through remote mode; the preprocessing module is used to preprocess the image data to obtain a blood vessel image; the processing module is used to process the blood vessel image processing to obtain blood vessel information; a generating module configured to generate a blood vessel analysis report based on the blood vessel information.

Optionally, the preprocessing module includes: a filtering unit, configured to filter the image data based on a predetermined filtering method to obtain an initial blood vessel image, wherein the filtering method is used to filter out Non-vascular area, and the filtering condition in the filtering method is obtained by at least one of the following methods: pre-configured, obtained from a data processing center; a labeling unit, configured to label the initial blood vessel image to obtain the blood vessel image .

Optionally, the processing module includes: a first acquiring unit, configured to acquire feature information of the target object; a selection unit, configured to select a target object based on the feature information and/or the image data A blood vessel processing strategy for processing blood vessel images; a processing unit configured to process the blood vessel images based on the blood vessel processing strategy to obtain the blood vessel information.

Optionally, the processing unit includes: a segmentation subunit, configured to segment the vascular image to obtain a target vascular image; an extraction subunit, configured to extract a vascular centerline based on the target vascular image; the first The obtaining subunit is used to obtain the blood vessel outline of the target blood vessel image; the first generation subunit is used to generate a blood vessel model based on the blood vessel outline and the blood vessel centerline; the analysis subunit is used to analyze the blood vessel model Analyze to obtain the blood vessel information.

Optionally, the analysis subunit includes: a second acquisition subunit, configured to acquire the blood vessel analysis requirements of the target object; a second generation subunit, configured to generate an activation instruction based on the blood vessel analysis requirements; a promoter A unit, configured to trigger the start of the feature analysis module based on the start instruction, so as to use the feature analysis module to analyze the blood vessel model to obtain the blood vessel information, wherein the blood vessel information includes at least one of the following: blood vessel Reserve fraction, vascular pressure, vascular status.

Optionally, the apparatus for processing blood vessel information further includes: a determining unit configured to, after processing the blood vessel image and obtaining the blood vessel information, determine that the blood vessel information cannot generate the blood vessel analysis report; the sending unit uses The image data is sent to the first predetermined terminal, wherein the image data is updated at the first predetermined terminal to obtain updated image data; the second obtaining unit is configured to obtain the first predetermined terminal The returned updated image data; an analyzing unit configured to analyze the updated image data to obtain blood vessel information; a generating unit configured to generate the blood vessel analysis report based on the blood vessel information.

Optionally, the apparatus for processing blood vessel information further includes: a sending module, configured to send the blood vessel analysis report when it is determined that there is no abnormality in the blood vessel analysis report after the blood vessel analysis report is generated based on the blood vessel information to a second predetermined terminal, so as to use the second predetermined terminal to display the blood vessel analysis report.

According to another aspect of the embodiments of the present application, there is also provided a blood vessel information processing system, which uses any one of the above blood vessel information processing methods, including: an image data acquisition device, used to acquire image data of a target object ; The data acquisition device communicates with the image data acquisition device, and is used to collect the image data acquired by the image data acquisition device in a remote mode; the control device communicates with the data acquisition device, and is used to obtain from the data acquisition device Acquire the image data, and send the image data to an image data analysis device; the image data analysis device communicates with the control device, and is used to analyze the image data, obtain blood vessel information, and send the The blood vessel information is sent to the control device.

Optionally, the blood vessel information processing system further includes: the control device, further configured to generate a blood vessel analysis report based on the blood vessel information after receiving the blood vessel information; a client device, communicating with the control device, It is used for obtaining the blood vessel analysis report from the control device.

Optionally, the image data analysis device includes: a plurality of feature analysis sub-devices, configured to analyze the image data.

According to another aspect of the embodiments of the present application, there is also provided a computer-readable storage medium, the computer-readable storage medium includes a stored computer program, wherein when the computer program is executed by a processor, the computer is controlled The device where the readable storage medium is located executes the blood vessel information processing method described in any one of the above.

According to another aspect of the embodiments of the present application, there is also provided a processor, the processor is configured to run a computer program, where the computer program executes the method for processing blood vessel information described in any one of the above when running.

In the embodiment of the present application, the image data of the target object is acquired; the image data is preprocessed to obtain a blood vessel image; the blood vessel image is processed to obtain blood vessel information; and a blood vessel analysis report is generated based on the blood vessel information. Through the processing method of blood vessel information provided by the embodiment of the present application, the purpose of preprocessing the acquired image data to obtain the blood vessel image and then processing it to generate a blood vessel analysis report is achieved, thereby realizing the system of improving the analysis of blood vessel characteristics It has a revolutionary technical effect, and then solves the technical problem of low reliability of the non-invasive blood vessel feature analysis method used in the related technology.

Description of drawings

The drawings described here are used to provide a further understanding of the application and constitute a part of the application. The schematic embodiments and descriptions of the application are used to explain the application and do not constitute an improper limitation to the application. In the attached picture:

FIG. 1 is a flowchart of a method for processing blood vessel information according to an embodiment of the present application;

Fig. 2 is a schematic diagram of a preferred method for processing blood vessel information according to an embodiment of the present application;

Fig. 3 is a schematic diagram of an apparatus for processing blood vessel information according to an embodiment of the present application;

Fig. 4 is a schematic diagram of a blood vessel information processing system according to an embodiment of the present application.

Detailed ways

In order to enable those skilled in the art to better understand the solution of the present application, the technical solution in the embodiment of the application will be clearly and completely described below in conjunction with the accompanying drawings in the embodiment of the application. Obviously, the described embodiment is only It is an embodiment of a part of the application, but not all of the embodiments. Based on the embodiments in this application, all other embodiments obtained by persons of ordinary skill in the art without creative efforts shall fall within the scope of protection of this application.

It should be noted that the terms "first" and "second" in the description and claims of the present application and the above drawings are used to distinguish similar objects, but not necessarily used to describe a specific sequence or sequence. It is to be understood that the data so used are interchangeable under appropriate circumstances such that the embodiments of the application described herein can be practiced in sequences other than those illustrated or described herein. Furthermore, the terms "comprising" and "having", as well as any variations thereof, are intended to cover a non-exclusive inclusion, for example, a process, method, system, product or device comprising a sequence of steps or elements is not necessarily limited to the expressly listed instead, may include other steps or elements not explicitly listed or inherent to the process, method, product or apparatus.

Example 1

According to an embodiment of the present application, a method embodiment of a method for processing blood vessel information is provided. It should be noted that the steps shown in the flow charts of the accompanying drawings can be executed in a computer system such as a set of computer-executable instructions, Also, although a logical order is shown in the flowcharts, in some cases the steps shown or described may be performed in an order different from that shown or described herein.

Fig. 1 is a flowchart of a method for processing blood vessel information according to an embodiment of the present application. As shown in Fig. 1, the method includes the following steps:

Step S102, using a data acquisition device to acquire image data of a target object, wherein the data acquisition device is deployed at a network port of the image data acquisition device, and is used to acquire image data from the image data acquisition device in a remote mode.

Optionally, the image data includes but not limited to: CT, MRI, DSA, etc.

It should be noted that CT refers to computerized tomography, which uses precisely collimated X-ray beams, Y-rays, ultrasound, etc., together with highly sensitive detectors, to make cross-sections one after another around a certain part of the human body. Scanning technology; MRI refers to magnetic resonance imaging, which is a technology that uses magnetic resonance phenomena to obtain electromagnetic signals from the human body and reconstruct human body information; DSA refers to digital subtraction technology, which is an image processing technology for angiography , by deleting unnecessary tissue images to retain only blood vessel images.

Step S104, preprocessing the image data to obtain a blood vessel image.

In the above steps, the preprocessing operation refers to performing image screening, filtering, clustering and other operations through predetermined algorithms.

Step S106, processing the blood vessel image to obtain blood vessel information.

Optionally, in the above steps, processing the image includes, but is not limited to, performing operations such as recognition, erosion, and expansion through a predetermined algorithm.

Step S108, generating a blood vessel analysis report based on the blood vessel information.

As can be seen from the above, in the embodiment of the present application, the image data of the target object can be obtained first; then the image data is preprocessed to obtain a blood vessel image; the blood vessel image is then processed to obtain blood vessel information; finally, blood vessel analysis is generated based on the blood vessel information Report. Through the processing method of blood vessel information provided by the embodiment of the present application, the purpose of preprocessing the acquired image data to obtain the blood vessel image and then processing it to generate a blood vessel analysis report is achieved, thereby realizing the system of improving the analysis of blood vessel characteristics It has a revolutionary technical effect, and then solves the technical problem of low reliability of the non-invasive blood vessel feature analysis method used in the related technology.

Optionally, in the above steps, the terminal running the program code for transmitting DICOM images (CT, MRI, DSA, etc.) is deployed at the position of the network port that can be connected with the hospital PACS system or the hospital CT, MRI, DSA machine, and through The configurable IP address and DICOM protocol are connected to it, and the DICOM image data (CT, MRI, DSA, etc.) are automatically obtained from the network port. Among them, the image data contains patient information, and is processed by the blood vessel information provided by the embodiment of the application Devices are collected and managed.

It should be noted that DICOM images refer to medical digital imaging and communication information images, which conform to international standards for medical images and related information; PACS systems refer to image archiving and communication systems, which are systems used in hospital imaging departments. , the main task is to digitally store all kinds of medical images generated daily through various interfaces. It plays an important role in transferring data between various imaging devices and organizing and storing data.

Furthermore, the terminal of the PACS system can provide a web interface or a client interface for medical staff or scholars to browse, check the screened patients and DICOM image data of the patients, select the required blood vessel feature processing method from the list, and send out the processing command, the terminal will be able to send the collected patient DICOM image data to the system’s vascular feature processing terminal for analysis.

As an optional embodiment, preprocessing the image data to obtain a blood vessel image includes: filtering the image data based on a predetermined filtering method to obtain an initial blood vessel image, wherein the filtering method is used to filter out non-identical elements in the image data. The blood vessel area, and the filtering conditions in the filtering manner are acquired through at least one of the following methods: pre-configured, acquired from the data processing center; marking the initial blood vessel image to obtain the blood vessel image.

In the above optional embodiment, the recorded DICOM images (i.e. image data) are processed through the code operation of the filter module of the image archiving and communication system (i.e. PACS system), and for the data suitable for the processing of the back-end blood vessel feature processing terminal, make Screening and marking processing for selection and processing by medical staff.

As an optional embodiment, processing the blood vessel image to obtain blood vessel information includes: acquiring feature information of the target object; selecting a blood vessel processing strategy for processing the blood vessel image based on the feature information and/or image data; The blood vessel processing strategy processes blood vessel images to obtain blood vessel information.

In the above optional embodiment, the method provided in the embodiment of the present application can segment organs and tissues, such as the heart, the left and right ventricles of the heart, the left and right atria, etc. The segmented organs and tissues are the basis for the subsequent segmentation of blood vessels , which contains a semi-automatic interactive process that can compensate and correct the results of fully automatic algorithm calculations.

Further, in addition to the semi-automatic execution and analysis method for images provided in the embodiment of the present application, a fully automatic execution and analysis method for images may also be used to process images. The method will be described in detail below.

Step 1. In the hospital or imaging equipment segment, deploy data front-end processors to access the hospital's PACS system or imaging equipment. The data front-end processor automatically synchronizes the image data to the front-end processor through the DICOM protocol, which is equivalent to a front-end DICOM data center.

Step 2. The DICOM analysis and interpretation software is deployed inside the data front-end processor. For the acquired DICOM images, according to the data requirements of the blood vessel analysis module installed and deployed in the center, the filter conditions can be dynamically configured or obtained from the center to filter out the ones that can be accepted by the center. For DICOM data, the filtered data index will be stored in the database of the front-end computer, and reported to the center through the interface.

It should be noted that the computer terminal center can store all filtered DICOM images and patient data, and save the task list, which can be accessed remotely through the web or client, read the task list, and view the task status; among them, the central and blood vessel feature analysis and Connection to the processing terminal, which can push DICOM data to the vascular feature analysis and processing computer terminal, and can pull the analysis results from the vascular feature analysis and processing computer terminal, and can be accessed locally or remotely by the web or client module to view the task list, task Progress, task status; for failed vascular feature analysis cases, a failure case processing command can be issued from the web or client, and the failed vascular feature analysis adjustment module (web interface or client) can be adjusted.

Step 3. The dispatching service program of the hub, for the received DICOM data index, requests the required DICOM data from the front-end processor according to the self-determined operation plan. Send DICOM data.

Step 4. After the center receives the DICOM data, it sends a task to the computing module according to the blood vessel analysis potential that the DICOM data can perform.

Step 5. After receiving the request, the computing module requests DICOM data through the interface hub, and the hub sends the DICOM data to the computing module.

Step 6. After each computing module receives the DICOM data, it will complete the whole process of automatic analysis according to the analysis process described above, and give the result through the interface of the center, and send the report to the center.

Step 7, the center stores the analyzed records in the database.

Step 8. The doctor accesses the center through the web or client, and can see the records that have been analyzed. Through the interface provided by the center, the report can be downloaded to the machine, and the report can be processed through the web page or client program of the machine. View and output files in formats such as pdf.

As an optional embodiment, processing the blood vessel image based on the blood vessel processing strategy to obtain blood vessel information includes: performing segmentation processing on the blood vessel image to obtain the target blood vessel image; extracting the center line of the blood vessel based on the target blood vessel image; obtaining the target blood vessel image The blood vessel contour; generate a blood vessel model based on the blood vessel contour and the blood vessel centerline; analyze the blood vessel model to obtain blood vessel information.

In the above optional embodiment, the blood vessel centerline editing module in the blood vessel feature analysis terminal of the system can use the interactive interface (web or client interface), and the doctor can perform editing operations such as moving, truncating, and adding to the blood vessel, so that the blood vessel The center line is more in line with the actual anatomical structure of the blood vessel on the DICOM image data; this step can also be passed back to the failed blood vessel feature processing terminal, and the failed blood vessel feature processing terminal can be edited and processed by the doctor from an accessible location.

It should be noted that the system models the blood vessels based on the extracted blood vessels and blood vessel centerlines, and obtains a computer three-dimensional model of the blood vessels and blood vessel centerlines. Next, the vascular feature processing terminal of the system starts the feature analysis module according to various functional analysis purposes based on the three-dimensional model, and analyzes the vascular feature values, including but not limited to results such as hemodynamic FFR scores. These results It is very critical and important for the diagnosis and treatment of patients' diseases.

As an optional embodiment, analyzing the blood vessel model to obtain blood vessel information includes: obtaining the blood vessel analysis requirements of the target object; generating a start instruction based on the blood vessel analysis requirements; triggering the start of the feature analysis module based on the start instruction, so as to utilize the The module analyzes the vascular model to obtain vascular information, wherein the vascular information includes at least one of the following: vascular reserve fraction, vascular pressure, and vascular status.

As an optional embodiment, after the blood vessel image is processed to obtain the blood vessel information, the blood vessel information processing method further includes: determining that the blood vessel information cannot generate a blood vessel analysis report; sending the image data to the first predetermined terminal, wherein , the image data is updated at the first predetermined terminal to obtain updated image data; obtain the updated image data returned by the first predetermined terminal; analyze the updated image data to obtain blood vessel information; generate blood vessel analysis based on the blood vessel information Report.

In the above optional embodiment, the terminal of the system provides a web interface or a client interface, from which analysis results can be obtained, and reports, reports, parameters, etc. can be displayed in the form of icons and tables (not limited).

As an optional embodiment, after the blood vessel analysis report is generated based on the blood vessel information, the blood vessel information processing method further includes: when it is determined that there is no abnormality in the blood vessel analysis report, sending the blood vessel analysis report to a second predetermined terminal to A blood vessel analysis report is displayed using the second predetermined terminal.

In the above optional embodiment, if the automatic processing flow fails or there is a flaw in the analysis, and the characteristic report cannot be issued normally and correctly, the scheduling viewing terminal of the system can check its status on the web interface or the client interface, and can request the data to be sent back To the local, handed over to the local interactive module for appropriate adjustments and corrections

Further, after obtaining the data of the failure case, the client or the web interface (not limited to) and manual intervention perform interactive correction on the data (such as organ tissue, blood vessel, blood vessel centerline, etc.), and save the result.

Further, according to the method for processing blood vessel information provided in the embodiment of the present application, image processing may also be performed through remote instructions. The method will be described in detail below.

Step 2. The front-end processor stores the acquired DICOM data index in a local database, and provides an interface through the hub to send the index to the hub. The hub will store these DICOM index information.

Step 3. The doctor can browse the index of the obtained DICOM data through the interface provided by the center through the web or the client. If the patient data of interest is found, the doctor can use the interface provided by the center to obtain the DICOM data of the patient according to the information provided by the center. The blood vessel analysis module can be provided to request the analysis of blood vessel characteristics.

Step 4. After receiving the request, the hub sends a request to the front-end processor to acquire DICOM data. The front-end processor sends DICOM data to the center through the interface provided by the center.

Step 5. After receiving the data, the center sends an instruction to the blood vessel characteristic analysis module for analysis according to the doctor's request. After receiving the request, the blood vessel feature analysis module requests DICOM data from the center through the interface provided by the center.

Step 6. After receiving the DICOM data, the blood vessel feature analysis module starts the aforementioned blood vessel feature analysis step.

Step 7. When executing each step, the blood vessel feature analysis module sends the current execution status and the result of the step to the center through the interface provided by the center.

Step 8. Through the interface provided by the center, the doctor can view the current execution status and intermediate results of a certain blood vessel feature analysis module from the web or the client. The result of the current step can be obtained through the command.

Step 9. The doctor can view and simply edit the results of the current step through the web or the client. The viewing and editing functions required by the local client have relatively low requirements on computer performance (CPU and GPU), and can be performed by computers with ordinary performance, which greatly reduces the overall required cost.

Step 10. If the doctor edits the result of the step, he can send the edited result to the center through the interface provided by the center. After receiving it, the center sends a message to the vascular feature analysis module, and the vascular feature analysis module obtains it through the interface provided by the center. The edited result of the step from which to proceed with vessel feature analysis

Step 11. If the blood vessel feature analysis module is successfully executed, it will send the analysis result to the center and report the status

Step 12. The doctor obtains the results and status of the patient data after performing the analysis of the blood vessel feature analysis module from the interface provided by the center through the web or client, and can request the result file through the center, and use the web or client to view it.

Fig. 2 is a schematic diagram of a preferred blood vessel information processing method according to an embodiment of the present application. As shown in Fig. 2, image data (such as CT, MRI, PACS) are stored in medical image data DICOM, and put into Vascular feature analysis data and task center, patient management, and DICOM data management, among which, automatic coronary vessel feature analysis, intracranial blood vessel feature analysis, and other organ blood vessel feature analysis can be fully automated. When the analysis fails, it can Perform adjustments for coronary vessel feature analysis failures, intracranial vessel feature analysis failure adjustments, and other organ vessel feature analysis failure adjustments. Task scheduling can also be performed through the Web and the client.

It can be seen from the above that in the embodiment of the present application, the following problems are mainly solved through the embodiment of the present application: 1. Repeated deployment of a single machine is expensive; 2. Patients and image data are scattered, which is not conducive to management; 3. Poor scalability and difficult Deploy new analysis steps and methods; 4. Cannot automatically pick up data and run the analysis process automatically.

Example 2

According to another aspect of the embodiment of the present application, a device for processing blood vessel information is also provided. FIG. 3 is a schematic diagram of a device for processing blood vessel information according to the embodiment of the present application. As shown in FIG. 3 , it includes: an acquisition module 31, A preprocessing module 33 , a processing module 35 and a generating module 37 . The blood vessel information processing device will be described below.

The acquiring module 31 is configured to acquire image data of a target object by using a data acquisition device, wherein the data acquisition device is deployed at a network port of the image data acquisition device, and is used to acquire image data from the image data acquisition device in a remote mode.

The preprocessing module 33 is configured to preprocess the image data to obtain blood vessel images.

The processing module 35 is configured to process the blood vessel image to obtain blood vessel information.

The generating module 37 is configured to generate a blood vessel analysis report based on the blood vessel information.

It should be noted here that the acquisition module 31, preprocessing module 33, processing module 35 and generation module 37 correspond to steps S102 to S108 in Embodiment 1, and the examples and application scenarios implemented by the above modules are the same as those of the corresponding steps , but not limited to the content disclosed in Embodiment 1 above. It should be noted that, as a part of the apparatus, the above-mentioned modules can be executed in a computer system such as a set of computer-executable instructions.

As can be seen from the above, in the embodiment of the present application, firstly, the acquisition module 31 can be used to obtain the image data of the target object through the data acquisition device, wherein the data acquisition device is deployed at the network port of the image data acquisition device, and is used to obtain the image data from Obtain image data at the image data acquisition device; then use the preprocessing module 33 to preprocess the image data to obtain a blood vessel image; then use the processing module 35 to process the blood vessel image to obtain blood vessel information; finally use the generation module 37 to generate blood vessel information Vascular Analysis Report. Through the blood vessel information processing device provided in the embodiment of the present application, the purpose of preprocessing the acquired image data to obtain the blood vessel image and then processing it to generate a blood vessel analysis report is achieved, thereby realizing a system for improving the analysis of blood vessel characteristics It has a revolutionary technical effect, and then solves the technical problem of low reliability of the non-invasive blood vessel feature analysis method used in the related technology.

Optionally, the preprocessing module includes: a filtering unit, configured to filter the image data based on a predetermined filtering method to obtain an initial blood vessel image, wherein the filtering method is used to filter out non-vascular regions in the image data, and the filtering method The filtering conditions in the method are obtained through at least one of the following methods: pre-configured, obtained from the data processing center; the labeling unit is used to label the initial blood vessel image to obtain the blood vessel image.

Optionally, the processing module includes: a first acquiring unit, configured to acquire characteristic information of the target object; a selection unit, configured to select a blood vessel processing strategy for processing the blood vessel image based on the characteristic information and/or image data; The unit is configured to process the blood vessel image based on the blood vessel processing strategy to obtain blood vessel information.

Optionally, the processing unit includes: a segmentation subunit, configured to segment the vascular image to obtain a target vascular image; an extraction subunit, configured to extract a vascular centerline based on the target vascular image; a first acquisition subunit, configured to The vessel outline of the target vessel image is acquired; the first generation subunit is used to generate a vessel model based on the vessel outline and the vessel centerline; the analysis subunit is used to analyze the vessel model to obtain vessel information.

Optionally, the analysis subunit includes: a second acquisition subunit, configured to acquire the blood vessel analysis requirements of the target object; a second generation subunit, configured to generate a startup instruction based on the blood vessel analysis requirements; a startup subunit, used to start the The instruction triggers the start of the feature analysis module to analyze the blood vessel model by the feature analysis module to obtain blood vessel information, wherein the blood vessel information includes at least one of the following: vascular reserve fraction, vascular pressure, and vascular state.

Optionally, the device for processing blood vessel information further includes: a determining unit, configured to determine that the blood vessel information cannot generate a blood vessel analysis report after processing the blood vessel image to obtain the blood vessel information; a sending unit, configured to send the image data to the first A predetermined terminal, wherein the image data is updated at the first predetermined terminal to obtain updated image data; the second acquisition unit is used to obtain the updated image data returned by the first predetermined terminal; the analysis unit is used to update The final image data is analyzed to obtain blood vessel information; the generation unit is used to generate a blood vessel analysis report based on the blood vessel information.

Optionally, the apparatus for processing blood vessel information further includes: a sending module, configured to send the blood vessel analysis report to a second predetermined terminal when it is determined that there is no abnormality in the blood vessel analysis report after the blood vessel analysis report is generated based on the blood vessel information, so as to A blood vessel analysis report is displayed using the second predetermined terminal.

Example 3

According to another aspect of the embodiment of the present application, a blood vessel information processing system is also provided, which uses any of the above blood vessel information processing methods. FIG. 4 is a schematic diagram of the blood vessel information processing system according to the embodiment of the present application, as shown in As shown in Figure 4, it includes: image data acquisition equipment 41, data acquisition equipment 43 and control equipment 45

The image data acquisition device 41 acquires image data of the target object.

The data collection device 43 communicates with the image data acquisition device 41 and is used to collect the image data acquired by the image data acquisition device in a remote mode.

The control device 45 communicates with the data collection device 43, acquires image data from the data collection device, and sends the image data to the image data analysis device.

The image data analysis device 47 communicates with the control device 45, analyzes the image data, obtains blood vessel information, and sends the blood vessel information to the control device.

As can be seen from the above, in the embodiment of the present application, firstly, the image data acquisition device 41 can be used to acquire the image data of the target object; in addition, the data acquisition device 43 can be used to communicate with the image data acquisition device to collect the image data acquired by the image data acquisition device; in addition Use the control device 45 to communicate with the data acquisition device, acquire image data from the data acquisition device, and send the image data to the image data analysis device; in addition, use the image data analysis device 47 to communicate with the control device, analyze the image data, and obtain blood vessel information , and send the blood vessel information to the control device. Through the blood vessel information processing system provided by the embodiment of the present application, the purpose of preprocessing the acquired image data to obtain the blood vessel image and then processing it to generate a blood vessel analysis report is achieved, thereby realizing the systematic improvement of the analysis of blood vessel characteristics Therefore, the technical problem of low reliability of the non-invasive blood vessel feature analysis method used in the related technology is solved.

Optionally, the blood vessel information processing system further includes: a control device, further configured to generate a blood vessel analysis report based on the blood vessel information after receiving the blood vessel information; a client device, communicating with the control device, for obtaining the blood vessel analysis report from the control device Report.

Optionally, the image data analysis device includes: multiple feature analysis sub-devices for analyzing the image data.

Example 4

According to another aspect of the embodiments of the present application, there is also provided a computer-readable storage medium, the computer-readable storage medium includes a stored computer program, wherein, when the computer program is run by a processor, the computer-readable storage medium is controlled Execute any one of the methods for processing blood vessel information described above.

Example 5

According to another aspect of the embodiments of the present application, a processor is also provided, and the processor is configured to run a computer program, wherein, when the computer program is running, the method for processing blood vessel information in any one of the above-mentioned methods is executed.

The serial numbers of the above embodiments of the present application are for description only, and do not represent the advantages and disadvantages of the embodiments.

In the above-mentioned embodiments of the present application, the descriptions of each embodiment have their own emphases, and for parts not described in detail in a certain embodiment, reference may be made to relevant descriptions of other embodiments.

In the several embodiments provided in this application, it should be understood that the disclosed technical content can be realized in other ways. Wherein, the device embodiments described above are only illustrative. For example, the division of the units may be a logical function division. In actual implementation, there may be other division methods. For example, multiple units or components may be combined or may be Integrate into another system, or some features may be ignored, or not implemented. In another point, the mutual coupling or direct coupling or communication connection shown or discussed may be through some interfaces, and the indirect coupling or communication connection of units or modules may be in electrical or other forms.

The units described as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units, that is, they may be located in one place, or may be distributed to multiple units. Part or all of the units can be selected according to actual needs to achieve the purpose of the solution of this embodiment.

In addition, each functional unit in each embodiment of the present application may be integrated into one processing unit, each unit may exist separately physically, or two or more units may be integrated into one unit. The above-mentioned integrated units can be implemented in the form of hardware or in the form of software functional units.

If the integrated unit is realized in the form of a software function unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present application is essentially or part of the contribution to the prior art or all or part of the technical solution can be embodied in the form of a software product, and the computer software product is stored in a storage medium , including several instructions for enabling a computer device (which may be a personal computer, server or network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of the present application. The aforementioned storage media include: U disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), mobile hard disk, magnetic disk or optical disc, etc., which can store program codes. .

The above description is only the preferred embodiment of the present application. It should be pointed out that for those of ordinary skill in the art, without departing from the principle of the present application, some improvements and modifications can also be made. These improvements and modifications are also It should be regarded as the protection scope of this application.

Claims

A method for processing blood vessel information, comprising:

Obtaining image data of the target object by using a data acquisition device, wherein the data acquisition device is deployed at a network port of the image data acquisition device, and is used to acquire the image data from the image data acquisition device in a remote mode;

Preprocessing the image data to obtain a blood vessel image;

Processing the blood vessel image to obtain blood vessel information;

A blood vessel analysis report is generated based on the blood vessel information.
The method according to claim 1, wherein preprocessing the image data to obtain a blood vessel image comprises:

Filter the image data based on a predetermined filtering method to obtain an initial blood vessel image, wherein the filtering method is used to filter out non-vascular regions in the image data, and the filtering conditions in the filtering method are at least as follows One way to obtain: pre-configured, obtained from the data processing center;

Annotate the initial blood vessel image to obtain the blood vessel image.
The method according to claim 1, wherein processing the blood vessel image to obtain blood vessel information includes:

Acquiring characteristic information of the target object;

selecting a blood vessel processing strategy for processing the blood vessel image based on the feature information and/or the image data;

The blood vessel image is processed based on the blood vessel processing strategy to obtain the blood vessel information.
The method according to claim 3, wherein processing the blood vessel image based on the blood vessel processing strategy to obtain the blood vessel information includes:

Segmenting the blood vessel image to obtain a target blood vessel image;

extracting a blood vessel centerline based on the target blood vessel image;

Acquiring the vessel outline of the target vessel image;

generating a vessel model based on the vessel outline and the vessel centerline;

The blood vessel model is analyzed to obtain the blood vessel information.
The method according to claim 4, wherein analyzing the blood vessel model to obtain the blood vessel information includes:

Obtaining the blood vessel analysis requirements of the target object;

generating a start instruction based on the blood vessel analysis requirement;

The start of the feature analysis module is triggered based on the start instruction, so as to use the feature analysis module to analyze the blood vessel model to obtain the blood vessel information, wherein the blood vessel information includes at least one of the following: blood vessel reserve fraction, blood vessel Pressure, vascular status.
The method according to any one of claims 1 to 5, wherein, after processing the blood vessel image to obtain blood vessel information, the method further comprises:

It is determined that the blood vessel information cannot generate the blood vessel analysis report;

sending the image data to a first predetermined terminal, wherein the image data is updated at the first predetermined terminal to obtain updated image data;

acquiring the updated image data returned by the first scheduled terminal;

Analyzing the updated image data to obtain blood vessel information;

The blood vessel analysis report is generated based on the blood vessel information.
The method according to any one of claims 1 to 5, wherein, after the blood vessel analysis report is generated based on the blood vessel information, the method further comprises:

When it is determined that there is no abnormality in the blood vessel analysis report, the blood vessel analysis report is sent to a second predetermined terminal, so that the blood vessel analysis report can be displayed by the second predetermined terminal.
A device for processing blood vessel information, comprising:

An acquisition module, configured to acquire image data of a target object using a data acquisition device, wherein the data acquisition device is deployed at a network port of the image data acquisition device, and is used to obtain the image data from the image data acquisition device in a remote mode. image data;

A preprocessing module, configured to preprocess the image data to obtain a blood vessel image;

A processing module, configured to process the blood vessel image to obtain blood vessel information;

A generating module configured to generate a blood vessel analysis report based on the blood vessel information.
A blood vessel information processing system, using the blood vessel information processing method according to any one of claims 1 to 7, comprising:

An image data acquisition device, configured to acquire image data of a target object;

A data acquisition device, communicating with the image data acquisition device, for collecting the image data obtained by the image data acquisition device in a remote mode;

a control device, communicating with the data collection device, for obtaining the image data from the data collection device, and sending the image data to an image data analysis device;

The image data analysis device communicates with the control device, and is used to analyze the image data to obtain blood vessel information, and send the blood vessel information to the control device.
A computer-readable storage medium, the computer-readable storage medium includes a stored computer program, wherein, when the computer program is executed by a processor, the device where the computer-readable storage medium is located is controlled to execute the above claims 1 to 7 The processing method of blood vessel information described in any one.
A processor, the processor is used to run a computer program, wherein the computer program executes the blood vessel information processing method according to any one of claims 1 to 7 when running.