CN114332001A - Blood vessel information processing method and device and computer-readable storage medium - Google Patents
Blood vessel information processing method and device and computer-readable storage medium Download PDFInfo
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Abstract
The invention discloses a blood vessel information processing method and device and a computer readable storage medium. Wherein, the method comprises the following steps: acquiring image data of a target object by using data acquisition equipment, wherein the data acquisition equipment is deployed at a network port of the image data acquisition equipment and is used for acquiring the image data from the image data acquisition equipment in a remote mode; preprocessing the image data to obtain a blood vessel image; processing the blood vessel image to obtain blood vessel information; generating a vascular analysis report based on the vascular information. The invention solves the technical problem of lower reliability of a non-invasive blood vessel characteristic analysis mode used in the related technology.
Description
Technical Field
The invention relates to the technical field of medical image processing, in particular to a method and a device for processing blood vessel information and a computer-readable storage medium.
Background
Blood vessels are the vessels that carry blood in the human body and are divided into arteries (Artery), veins (Vein) and capillaries (Capillary) depending on the direction of transport. Currently, the incidence of vascular diseases is increasing, and has become one of the major diseases seriously threatening the quality of life and life of human beings. Such as Intracranial Atherosclerotic Stenosis (ICAS), is a significant cause of ischemic stroke; for example, coronary arteries may develop pathological stenosis, resulting in restricted blood flow to the heart, and patients with coronary artery disease may experience chest pain, with more severe manifestations that may lead to myocardial infarction.
In order to assess and diagnose the function of a blood vessel, accurate data related to vascular lesions needs to be obtained, such as size, shape, location, functional significance (e.g., whether the lesion affects blood flow), and the like. Current diagnostic means are invasive and non-invasive. For example, coronary angiography and non-invasive methods such as CTA are commonly used in coronary diagnosis.
In order to complete the non-invasive blood vessel characteristic analysis in the prior art, the following processes are required: step 1, acquiring or transmitting a patient medical image (including but not limited to CT, MRI, DSA and the like); step 2, storing and screening medical image data of the patient; step 3, full-automatic or semi-automatic blood vessel segmentation and extraction; (optional) intervention of a doctor to correct a full-automatic or semi-automatic analysis result; (optional) vessel feature modeling and analysis; and 6, generating and presenting an analysis and diagnosis report.
In the presently known methods and schemes, all steps are undertaken by a single computer. Step 3 and step 6 need to be undertaken by a computer with a powerful CPU and a GPU, and machines which are objectively required to be configured equally in deployment are provided for each implementation point, which results in high hardware cost; secondly, single machine deployment of a plurality of deployment points objectively needs to independently configure and manage patient and patient image data in data collection and management, so that the requirement on disk storage space is higher, the cost is higher, and the hidden danger of safety management is brought because the data are dispersedly managed to cause the dispersedly or possibly repeatedly stored patient and data; thirdly, in the research of vascular diseases, after new methods and schemes are developed, the deployment needs to be upgraded from machine to machine, so that the expansion and maintenance are difficult and the cost is increased.
From the above, the method adopted in the related art has the following disadvantages: firstly, the single machine is repeatedly deployed, so that the cost is high; secondly, the patient and the image data are scattered, which is not beneficial to management; thirdly, the expansibility is poor, and new analysis steps and methods are not easy to deploy.
In view of the above problems, no effective solution has been proposed.
Disclosure of Invention
The embodiment of the invention provides a blood vessel information processing method, a blood vessel information processing device and a computer readable storage medium, which at least solve the technical problem that a non-invasive blood vessel feature analysis mode used in the related technology is low in reliability.
According to an aspect of the embodiments of the present invention, there is provided a method for processing blood vessel information, including: acquiring image data of a target object by using data acquisition equipment, wherein the data acquisition equipment is deployed at a network port of image data acquisition equipment and is used for acquiring the image data from the image data acquisition equipment in a remote mode; preprocessing the image data to obtain a blood vessel image; processing the blood vessel image to obtain blood vessel information; generating a vessel analysis report based on the vessel information.
Optionally, preprocessing the image data to obtain a blood vessel image, including: filtering the image data based on a preset filtering mode to obtain an initial blood vessel image, wherein the filtering mode is used for filtering out non-blood vessel regions in the image data, and filtering conditions in the filtering mode are obtained through at least one of the following modes: pre-configuring and obtaining the data from a data processing center; and labeling 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 blood vessel processing strategy for processing the blood vessel image based on the feature information and/or the image data; and 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 policy to obtain the blood vessel information includes: carrying out segmentation processing on the blood vessel image to obtain a target blood vessel image; extracting a vessel centerline based on the target vessel image; acquiring a blood vessel contour of the target blood vessel image; generating a vessel model based on the vessel contour and the vessel centerline; and analyzing the blood vessel model to obtain the blood vessel information.
Optionally, analyzing the blood vessel model to obtain the blood vessel information includes: acquiring a blood vessel analysis requirement of the target object; generating a starting instruction based on the blood vessel analysis requirement; triggering a feature analysis module to start based on the starting instruction, so as to analyze the blood vessel model by using the feature analysis module to obtain the blood vessel information, wherein the blood vessel information comprises at least one of the following: vascular reserve fraction, vascular pressure, vascular status.
Optionally, after the blood vessel image is processed to obtain blood vessel information, the blood vessel information processing method further includes: determining that the vessel information fails to generate the vessel analysis report; sending the image data to a first preset terminal, wherein the image data is updated at the first preset terminal to obtain updated image data; acquiring the updated image data returned by the first preset terminal; analyzing the updated image data to obtain blood vessel information; generating the vessel analysis report based on the vessel information.
Optionally, after generating a blood vessel analysis report based on the blood vessel information, the processing method of the blood vessel information further includes: and when the blood vessel analysis report is determined to be abnormal, sending the blood vessel analysis report to a second preset terminal so as to display the blood vessel analysis report by using the second preset terminal.
According to another aspect of the embodiments of the present invention, there is also provided a blood vessel information processing apparatus, including: the acquisition module is used for acquiring image data of a target object by using data acquisition equipment, wherein the data acquisition equipment is deployed at a network port of the image data acquisition equipment and is used for acquiring the image data from the image data acquisition equipment in a remote mode; the preprocessing module is used for preprocessing the image data to obtain a blood vessel image; the processing module is used for processing the blood vessel image to obtain blood vessel information; a generation module to generate a vessel analysis report based on the vessel information.
Optionally, the preprocessing module includes: a filtering unit, configured to filter the image data based on a predetermined filtering manner to obtain an initial blood vessel image, where the filtering manner is used to filter out non-blood vessel regions in the image data, and a filtering condition in the filtering manner is obtained by at least one of: pre-configuring and obtaining the data from a data processing center; and the labeling unit is used for labeling the initial blood vessel image to obtain the blood vessel image.
Optionally, the processing module includes: a first acquisition unit configured to acquire feature information of the target object; a selection unit configured to select a blood vessel processing policy for processing the blood vessel image based on the feature information and/or the image data; and the processing unit is used for processing the blood vessel image based on the blood vessel processing strategy to obtain the blood vessel information.
Optionally, the processing unit includes: the segmentation subunit is used for carrying out segmentation processing on the blood vessel image to obtain a target blood vessel image; an extraction subunit, configured to extract a blood vessel centerline based on the target blood vessel image; the first acquisition subunit is used for acquiring a blood vessel contour of the target blood vessel image; a first generating subunit for generating a vessel model based on the vessel contour and the vessel centerline; and the analysis subunit is used for analyzing the blood vessel model to obtain the blood vessel information.
Optionally, the analysis subunit includes: the second acquisition subunit is used for acquiring the blood vessel analysis requirement of the target object; a second generation subunit, configured to generate a start instruction based on the blood vessel analysis requirement; the promoter unit is used for triggering a characteristic analysis module to start based on the starting instruction so as to analyze the blood vessel model by using the characteristic analysis module to obtain the blood vessel information, wherein the blood vessel information comprises at least one of the following components: vascular reserve fraction, vascular pressure, vascular status.
Optionally, the blood vessel information processing apparatus further includes: the determining unit is used for determining that the blood vessel information cannot generate the blood vessel analysis report after the blood vessel image is processed to obtain the blood vessel information; the sending unit is used for sending the image data to a first preset terminal, wherein the image data is updated at the first preset terminal to obtain updated image data; the second acquisition unit is used for acquiring the updated image data returned by the first preset terminal; the analysis unit is used for analyzing the updated image data to obtain blood vessel information; a generating unit for generating the blood vessel analysis report based on the blood vessel information.
Optionally, the blood vessel information processing apparatus further includes: and the sending module is used for sending the blood vessel analysis report to a second preset terminal after the blood vessel analysis report is generated based on the blood vessel information and when the blood vessel analysis report is determined to have no abnormity, so that the blood vessel analysis report is displayed by the second preset terminal.
According to another aspect of the embodiments of the present invention, there is also provided a blood vessel information processing system using the blood vessel information processing method described in any one of the above, including: the image data acquisition equipment is used for acquiring the image data of the target object; the data acquisition equipment is communicated with the image data acquisition equipment and is used for acquiring the image data acquired by the image data acquisition equipment in a remote mode; the control equipment is communicated with the data acquisition equipment and is used for acquiring the image data from the data acquisition equipment and sending the image data to image data analysis equipment; the image data analysis equipment is communicated with the control equipment and used for analyzing the image data to obtain blood vessel information and sending the blood vessel information to the control equipment.
Optionally, the blood vessel information processing system further comprises: the control device is further used for generating a blood vessel analysis report based on the blood vessel information after receiving the blood vessel information; a client device in communication with the control device for obtaining the vessel analysis report from the control device.
Optionally, the image data analysis apparatus includes: and the characteristic analysis sub-equipment is used for analyzing the image data.
According to another aspect of the embodiments of the present invention, there is also provided a computer-readable storage medium, which includes a stored computer program, wherein when the computer program is executed by a processor, the computer-readable storage medium controls a device to execute any one of the above-mentioned blood vessel information processing methods.
According to another aspect of the embodiments of the present invention, there is also provided a processor, configured to execute a computer program, where the computer program executes to perform the blood vessel information processing method according to any one of the above.
In the embodiment of the invention, image data of a target object is acquired; preprocessing the image data to obtain a blood vessel image; processing the blood vessel image to obtain blood vessel information; generating a vascular analysis report based on the vascular information. By the blood vessel information processing method provided by the embodiment of the invention, the purpose of generating the blood vessel analysis report after preprocessing the acquired image data to obtain the blood vessel image and then processing the blood vessel image is achieved, so that the technical effect of improving the systematicness of blood vessel characteristic analysis is realized, and the technical problem of low reliability of a non-invasive blood vessel characteristic analysis mode used in the related technology is solved.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this application, illustrate embodiment(s) of the invention and together with the description serve to explain the invention without limiting the invention. In the drawings:
fig. 1 is a flowchart of a processing method of blood vessel information according to an embodiment of the present invention;
FIG. 2 is a schematic diagram of a preferred method of processing vascular information in accordance with an embodiment of the present invention;
fig. 3 is a schematic diagram of a blood vessel information processing apparatus according to an embodiment of the present invention;
fig. 4 is a schematic diagram of a blood vessel information processing system according to an embodiment of the present invention.
Detailed Description
In order to make the technical solutions of the present invention better understood, 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.
It should be noted that the terms "first," "second," and the like in the description and claims of the present invention and in the drawings described above are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used is interchangeable under appropriate circumstances such that the embodiments of the invention described herein are capable of operation in sequences other than those illustrated or described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
Example 1
In accordance with an embodiment of the present invention, there is provided a method embodiment of a method for processing blood vessel information, it is noted that the steps illustrated in the flowchart of the drawings may be performed in a computer system such as a set of computer executable instructions, and that while a logical order is illustrated in the flowchart, in some cases the steps illustrated or described may be performed in an order different than here.
Fig. 1 is a flowchart of a processing method of blood vessel information according to an embodiment of the present invention, as shown in fig. 1, the method including the steps of:
step S102, 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 and is used for acquiring the image data from the image data acquisition device through a remote mode.
Optionally, the image data includes but is not limited to: CT, MRI, DSA, etc.
It should be noted that CT refers to electronic computed tomography, which is a technique of performing cross-sectional scanning one by one around a certain part of a human body together with a detector having extremely high sensitivity by using an accurately collimated X-ray beam, Y-rays, ultrasonic waves, and the like; MRI refers to magnetic resonance imaging, which is a technique of obtaining electromagnetic signals from a human body and reconstructing human body information using a magnetic resonance phenomenon; DSA refers to a digital subtraction technique, which is an image processing technique for angiography and retains only a blood vessel image by deleting unnecessary tissue images.
And step S104, preprocessing the image data to obtain a blood vessel image.
In the above steps, the preprocessing operation refers to operations such as image screening, filtering, clustering, etc. performed by a predetermined algorithm.
And step S106, processing the blood vessel image to obtain blood vessel information.
Optionally, in the above steps, the processing on the image includes, but is not limited to, performing operations such as identification, erosion, dilation, etc. 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 invention, first, the image data of the target object may be obtained; then preprocessing the image data to obtain a blood vessel image; then processing the blood vessel image to obtain blood vessel information; and finally generating a blood vessel analysis report based on the blood vessel information. By the blood vessel information processing method provided by the embodiment of the invention, the purpose of generating the blood vessel analysis report after preprocessing the acquired image data to obtain the blood vessel image and then processing the blood vessel image is achieved, so that the technical effect of improving the systematicness of blood vessel characteristic analysis is realized, and the technical problem of low reliability of a non-invasive blood vessel characteristic analysis mode used in the related technology is solved.
Optionally, in the above steps, the terminal running the program code for transmitting the DICOM image (CT, MRI, DSA, etc.) is deployed at a location of a network port connectable to a PACS system of a hospital or CT, MRI, DSA machines of a hospital, and is connected thereto through a configurable IP address and a DICOM protocol, and automatically acquires the DICOM image data (CT, MRI, DSA, etc.) from the network port, wherein the image data contains patient information and is recorded and managed by the processing device of the blood vessel information provided by the embodiment of the present invention.
It should be noted that the DICOM image refers to medical digital imaging and communication information image, and is an image meeting the international standard of medical image and related information; the PACS system is an image archiving and communication system, is a system applied to image departments in hospitals, and has the main task of storing various medical images generated in daily life in a digital mode through various interfaces, being capable of being quickly recalled and used under certain authorization when needed, simultaneously increasing some auxiliary diagnosis management functions, and playing an important role in transmitting data and organizing and storing data among various image devices.
Furthermore, a terminal of the PACS system can provide a web interface or a client interface for medical staff or scholars to browse, check the DICOM image data of the screened patients and the patients, select a blood vessel characteristic processing mode to be performed from the list, send a processing instruction, and send the collected DICOM image data of the patients to a blood vessel characteristic processing terminal of the system for analysis.
As an alternative embodiment, the preprocessing the image data to obtain the blood vessel image includes: filtering the image data based on a preset filtering mode to obtain an initial blood vessel image, wherein the filtering mode is used for filtering non-blood vessel areas in the image data, and filtering conditions in the filtering mode are obtained through at least one of the following modes: pre-configuring and obtaining the data from a data processing center; and labeling the initial blood vessel image to obtain a blood vessel image.
In the above optional embodiment, the included DICOM image (i.e., image data) is subjected to a screening and labeling process for data suitable for being processed by the back-end blood vessel characteristic processing terminal through a code operation of a filtering module of an image archiving and communication system (i.e., PACS system), so that medical personnel can select and process the data.
As an alternative embodiment, processing the blood vessel image to obtain the blood vessel information includes: acquiring characteristic information of a target object; selecting a blood vessel processing strategy for processing the blood vessel image based on the characteristic information and/or the image data; and processing the blood vessel image based on the blood vessel processing strategy to obtain blood vessel information.
In the above optional embodiments, the method provided in the embodiments of the present invention can segment organ tissues, such as the heart, left and right ventricles of the heart, left and right atria, etc., and the segmented organ tissues are the basis of the subsequent blood vessel segmentation process, which includes a semi-automatic interactive process, and can compensate and correct the result of the fully automatic algorithm calculation.
Further, besides the image semi-automatic analysis method provided by the embodiment of the invention, the image can be processed by using the image full-automatic analysis method. The method is described in detail below.
Step 1, deploying a data front-end processor in a hospital or an imaging device section, wherein the data front-end processor is used for accessing a PACS system or an imaging device of the hospital. The data front-end processor automatically synchronizes image data to the front-end processor through a DICOM protocol, and the data front-end processor is equivalent to a front-end DICOM data center.
And 2, deploying DICOM analysis interpretation software in the data front-end processor, dynamically configuring or acquiring filtering conditions from the center according to the requirement of a blood vessel analysis module installed and deployed in the center on data for the acquired DICOM images, filtering out DICOM data which can be accepted by the center, storing the filtered data index in a database of the front-end processor, and reporting the data index to the center through an interface.
The computer terminal hub can store all filtered DICOM images and patient data, store a task list, and remotely access the DICOM images and the patient data through a web or a client to read the task list and check task states; the center is connected with the blood vessel characteristic analysis and processing terminal, can push DICOM data to the blood vessel characteristic analysis and processing computer terminal, can pull an analysis result from the blood vessel characteristic analysis and processing computer terminal, and can be accessed locally or remotely by a web or a client module to check a task list, a task progress and a task state; for the failed blood vessel characteristic analysis case, a failure case processing instruction can be sent from a web or a client, and is delivered to a failed blood vessel characteristic analysis adjusting module (a web interface or the client) for adjustment.
And 3, the central hub scheduling service program requests the required DICOM data from the front-end processor according to the received DICOM data index and the self-defined operation plan, and the front-end processor sends the DICOM data to the central hub through an interface of the central hub after receiving the request.
And 4, after receiving the DICOM data, the central hub sends a task to the operation module according to the vessel analysis potential which can be executed by the DICOM data.
And 5, after receiving the request, the operation module requests DICOM data through the interface hub, and the hub sends the DICOM data to the operation module.
And 6, after receiving the DICOM data, each operation module finishes all the automatic analysis processes according to the analysis process explained before, gives a result through an interface of the central hub and sends a report to the central hub.
And 7, storing the analyzed record in a database by the pivot.
And 8, accessing the pivot by the doctor through the web or the client to see the analyzed records, downloading the report to the local machine through an interface provided by the pivot, viewing the report through a web page or a client program of the local machine, and outputting files in formats such as pdf and the like.
As an alternative embodiment, 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 central line based on the target blood vessel image; acquiring a blood vessel contour of a target blood vessel image; generating a vessel model based on the vessel contour and the vessel centerline; and analyzing the blood vessel model to obtain blood vessel information.
In the above optional embodiment, the vessel centerline editing module in the vessel feature analysis terminal of the system may perform editing operations such as moving, cutting, adding, etc. on the vessel through an interactive interface (web or client interface), so that the vessel centerline better conforms to the actual anatomical structure of the vessel on DICOM image data; the step can also be edited and processed by being transmitted back to the failed blood vessel characteristic processing terminal and delivered to the failed blood vessel characteristic processing terminal from a place accessible by a doctor.
It should be noted that the system models the blood vessel according to the extracted blood vessel and blood vessel center line to obtain a computer three-dimensional model of the blood vessel and the blood vessel center line. Next, the blood vessel feature processing terminal of the system starts a feature analysis module according to the three-dimensional model and various functional analysis purposes, and analyzes the feature values of the blood vessel, including but not limited to results such as the FFR score of the hemodynamics, which are very critical and important for the diagnosis and treatment of the disease of the patient.
As an alternative embodiment, analyzing the blood vessel model to obtain the blood vessel information includes: acquiring a blood vessel analysis requirement of a target object; generating a starting instruction based on the blood vessel analysis requirement; triggering the feature analysis module to start based on the starting instruction so as to analyze the blood vessel model by using the feature analysis module to obtain blood vessel information, wherein the blood vessel information comprises at least one of the following components: vascular reserve fraction, vascular pressure, vascular status.
As an alternative embodiment, 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 vessel information fails to generate a vessel analysis report; sending the image data to a first preset terminal, wherein the image data is updated at the first preset terminal to obtain updated image data; acquiring updated image data returned by a first preset terminal; analyzing the updated image data to obtain blood vessel information; generating a vascular analysis report based on the vascular information.
In the above alternative embodiment, the terminal of the system provides a web interface or a client interface from which the analysis result can be obtained, and reports, parameters, and the like are displayed in the form of (without limitation) icons and tables.
As an alternative embodiment, after generating the blood vessel analysis report based on the blood vessel information, the blood vessel information processing method further includes: and when determining that the blood vessel analysis report is not abnormal, sending the blood vessel analysis report to a second predetermined terminal so as to display the blood vessel analysis report by using the second predetermined terminal.
In the above optional embodiment, if the automatic processing flow fails or there is an analysis defect, and the characteristic report cannot be issued normally and correctly, the scheduling and viewing terminal of the system may view the status thereof through the web interface or the client interface, and may request to transmit the data back to the local, and the data is handed to the local interaction module to perform appropriate adjustment and correction
Further, after obtaining the data of the failure case, the client or the web interface (without limitation) and the human intervention perform interactive correction on the data (such as organ tissues, blood vessels, blood vessel center lines, etc.), and save the result.
Further, the processing method of the blood vessel information provided by the embodiment of the invention can also execute the processing of the image through a remote instruction. The method is described in detail below.
Step 1, deploying a data front-end processor in a hospital or an imaging device section, wherein the data front-end processor is used for accessing a PACS system or an imaging device of the hospital. The data front-end processor automatically synchronizes image data to the front-end processor through a DICOM protocol, and the data front-end processor is equivalent to a front-end DICOM data center.
And 2, the front-end processor stores the obtained DICOM data index in a local database, provides an interface through the central hub and sends the index to the central hub. The hub will store these DICOM index information.
And 3, the doctor can browse the index of the obtained DICOM data from an interface provided by the central hub through a web or a client, and if the interested patient data is found, the patient DICOM data can be requested to be subjected to the blood vessel characteristic analysis through the interface provided by the central hub according to a blood vessel analysis module provided by the central hub.
And 4, after receiving the request, the central hub sends a request to the front-end processor to acquire DICOM data. The front-end processor sends DICOM data to the hub through an interface provided by the hub.
And 5, after receiving the data, the central hub sends an instruction to the blood vessel characteristic analysis module for analysis according to the request of a doctor. After receiving the request, the blood vessel characteristic analysis module requests DICOM data from the central hub through an interface provided by the central hub.
And 6, after receiving the DICOM data, the blood vessel characteristic analysis module starts the blood vessel characteristic analysis step.
And 7, when each step is executed, the blood vessel characteristic analysis module sends the current execution state and the result of the step to the central hub through an interface provided by the central hub.
And 8, the doctor can view the current execution state and intermediate result of a certain blood vessel characteristic analysis module from the web or a client through an interface provided by the central hub. The result of the current step may be obtained by an instruction.
And 9, the doctor can view and simply edit the result of the current step through the web or the client. The checking and editing functions required to be executed by the local client have lower requirements on the performance (CPU and GPU) and the like of the computer, and can be executed by using the computer with common performance, so that the overall required cost is greatly reduced.
Step 10, if the doctor edits the step result, the doctor can provide the interface to send the edited result to the central hub through the central hub, the central hub sends a message to the blood vessel characteristic analysis module after receiving the edited result, the blood vessel characteristic analysis module obtains the edited result of the step through the interface provided by the central hub, and continues to execute the blood vessel characteristic analysis from the step
Step 11, if the blood vessel characteristic analysis module is successfully executed finally, sending an analysis result to the central pivot and reporting the state
Step 12, the doctor obtains the results and the state of the patient data after the patient data is analyzed by the blood vessel characteristic analysis module from an interface provided by the central hub through the web or the client, and can request a result file through the central hub and view the result file by using the web or the client.
Fig. 2 is a schematic diagram of a preferred blood vessel information processing method according to an embodiment of the present invention, as shown in fig. 2, image data (e.g., CT, MRI, PACS) are stored in medical image data DICOM, and are placed into a blood vessel feature analysis data and task center and patient management, DICOM data management after DICOM data screening, wherein coronary artery feature analysis full-automatic, intracranial blood vessel feature analysis full-automatic, and other organ blood vessel feature analysis full-automatic may be performed, when analysis fails, coronary artery feature analysis failure adjustment, intracranial blood vessel feature analysis failure adjustment, and other organ blood vessel feature analysis failure adjustment may be performed, and task scheduling may be performed through Web and a client.
As can be seen from the above, in the embodiment of the present invention, the following problems are mainly solved by the embodiment of the present invention: firstly, the single machine is repeatedly deployed, so that the cost is high; secondly, the patient and the image data are scattered, which is not beneficial to management; thirdly, the expansibility is poor, and new analysis steps and methods are not easy to deploy; and fourthly, data cannot be automatically picked, and the analysis process is automatically operated.
Example 2
According to another aspect of the embodiment of the present invention, there is also provided a blood vessel information processing apparatus, and fig. 3 is a schematic diagram of the blood vessel information processing apparatus according to the embodiment of the present invention, as shown in fig. 3, including: an acquisition module 31, a pre-processing module 33, a processing module 35 and a generation module 37. The following describes a processing device for the blood vessel information.
The acquiring module 31 is configured to acquire image data of a target object by using a data acquiring device, where the data acquiring device is disposed at a network port of the image data acquiring device and is configured to acquire the image data from the image data acquiring device in a remote mode.
The preprocessing module 33 is configured to preprocess the image data to obtain a blood vessel image.
And the processing module 35 is configured to process the blood vessel image to obtain blood vessel information.
A generating module 37 for generating a vessel analysis report based on the vessel information.
It should be noted here that the acquiring module 31, the preprocessing module 33, the processing module 35, and the generating module 37 correspond to steps S102 to S108 in embodiment 1, and the modules are the same as the corresponding steps in implementation examples and application scenarios, but are not limited to the disclosure in embodiment 1. It should be noted that the modules described above as part of an apparatus may be implemented 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 invention, firstly, the obtaining module 31 may be utilized to obtain the image data of the target object through the data acquisition device, where the data acquisition device is disposed 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; then, the image data is preprocessed by a preprocessing module 33 to obtain a blood vessel image; processing the blood vessel image by using the processing module 35 to obtain blood vessel information; finally, a vessel analysis report is generated based on the vessel information by means of the generation module 37. By the blood vessel information processing device provided by the embodiment of the invention, the purpose of generating the blood vessel analysis report after preprocessing the acquired image data to obtain the blood vessel image and then processing the blood vessel image is achieved, so that the technical effect of improving the systematicness of blood vessel characteristic analysis is realized, and the technical problem of low reliability of a non-invasive blood vessel characteristic analysis mode used in the related technology is solved.
Optionally, the pre-processing module comprises: the filtering unit is used for filtering the image data based on a preset filtering mode to obtain an initial blood vessel image, wherein the filtering mode is used for filtering non-blood vessel areas in the image data, and filtering conditions in the filtering mode are obtained through at least one of the following modes: pre-configuring and obtaining the data from a data processing center; and the labeling unit is used for labeling the initial blood vessel image to obtain the blood vessel image.
Optionally, the processing module comprises: a first acquisition unit configured to acquire feature information of a target object; a selection unit for selecting a blood vessel processing strategy for processing the blood vessel image based on the feature information and/or the image data; and the processing unit is used for processing the blood vessel image based on the blood vessel processing strategy to obtain the blood vessel information.
Optionally, a processing unit comprising: the segmentation subunit is used for carrying out segmentation processing on the blood vessel image to obtain a target blood vessel image; an extraction subunit, configured to extract a blood vessel center line based on the target blood vessel image; the first acquisition subunit is used for acquiring a blood vessel contour of the target blood vessel image; a first generating subunit for generating a vessel model based on the vessel contour and the vessel centerline; and the analysis subunit is used for analyzing the blood vessel model to obtain the blood vessel information.
Optionally, the analysis subunit comprises: the second acquisition subunit is used for acquiring the blood vessel analysis requirement of the target object; the second generation subunit is used for generating a starting instruction based on the blood vessel analysis requirement; the promoter unit is used for triggering the characteristic analysis module to start based on the starting instruction so as to analyze the blood vessel model by using the characteristic analysis module to obtain blood vessel information, wherein the blood vessel information comprises at least one of the following components: vascular reserve fraction, vascular pressure, vascular status.
Optionally, the blood vessel information processing apparatus further includes: the determining unit is used for determining that the blood vessel information can not generate a blood vessel analysis report after the blood vessel image is processed to obtain the blood vessel information; the image processing device comprises a sending unit, a processing unit and a processing unit, wherein the sending unit is used for sending image data to a first preset terminal, and the image data is updated at the first preset terminal to obtain updated image data; the second acquisition unit is used for acquiring the updated image data returned by the first preset terminal; the analysis unit is used for analyzing the updated image data to obtain blood vessel information; a generating unit for generating a blood vessel analysis report based on the blood vessel information.
Optionally, the blood vessel information processing apparatus further includes: and the sending module is used for sending the blood vessel analysis report to a second predetermined terminal after the blood vessel analysis report is generated based on the blood vessel information and when the blood vessel analysis report is determined to have no abnormality, so that the blood vessel analysis report is displayed by using the second predetermined terminal.
Example 3
According to another aspect of the embodiments of the present invention, there is also provided a blood vessel information processing system using the blood vessel information processing method of any one of the above, and fig. 4 is a schematic diagram of the blood vessel information processing system according to the embodiments of the present invention, as shown in fig. 4, including: image data acquisition device 41, data acquisition device 43, and control device 45
The image data acquisition device 41 acquires image data of a target object.
And a data acquisition device 43, in communication with the image data acquisition device 41, for acquiring the image data acquired by the image data acquisition device in a remote mode.
And the control device 45 is communicated with the data acquisition device 43, acquires the image data from the data acquisition device and sends the image data to the image data analysis device.
The image data analysis device 47 is in communication with the control device 45, analyzes the image data to obtain blood vessel information, and transmits the blood vessel information to the control device.
As can be seen from the above, in the embodiment of the present invention, the image data of the target object may be acquired first by using the image data acquiring apparatus 41; in addition, the data acquisition device 43 is used for communicating with the image data acquisition device to acquire the image data acquired by the image data acquisition device; in addition, the control device 45 is used for communicating with the data acquisition device, acquiring image data from the data acquisition device and sending the image data to the image data analysis device; in addition, the image data analysis device 47 is used for communicating with the control device, analyzing the image data, obtaining blood vessel information and sending the blood vessel information to the control device. By the blood vessel information processing system provided by the embodiment of the invention, the purpose of generating the blood vessel analysis report after preprocessing the acquired image data to obtain the blood vessel image and then processing the blood vessel image is achieved, so that the technical effect of improving the systematicness of blood vessel characteristic analysis is realized, and the technical problem of low reliability of a non-invasive blood vessel characteristic analysis mode used in the related technology is solved.
Optionally, the blood vessel information processing system further comprises: the control device is also used for generating a blood vessel analysis report based on the blood vessel information after receiving the blood vessel information; a client device in communication with the control device for obtaining a vascular analysis report from the control device.
Optionally, the image data analysis apparatus includes: and the characteristic analysis sub-equipment is used for analyzing the image data.
Example 4
According to another aspect of the embodiments of the present invention, there is also provided a computer-readable storage medium including a stored computer program, wherein when the computer program is executed by a processor, the apparatus where the computer-readable storage medium is located is controlled to execute the method for processing the blood vessel information of any one of the above.
Example 5
According to another aspect of the embodiments of the present invention, there is also provided a processor, configured to execute a computer program, where the computer program executes to perform the method for processing the blood vessel information of any one of the above.
The above-mentioned serial numbers of the embodiments of the present invention are merely for description and do not represent the merits of the embodiments.
In the above embodiments of the present invention, the descriptions of the respective embodiments have respective emphasis, and for parts that are not described in detail in a certain embodiment, reference may be made to related descriptions of other embodiments.
In the embodiments provided in the present application, it should be understood that the disclosed technology can be implemented in other ways. The above-described embodiments of the apparatus are merely illustrative, and for example, the division of the units may be a logical division, and in actual implementation, there may be another division, for example, multiple units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, units or modules, and may be in an electrical or other form.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.
The integrated unit, if implemented in the form of a software functional unit and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a removable hard disk, a magnetic or optical disk, and other various media capable of storing program codes.
The foregoing is only a preferred embodiment of the present invention, and it should be noted that, for those skilled in the art, various modifications and decorations can be made without departing from the principle of the present invention, and these modifications and decorations should also be regarded as the protection scope of the present invention.
Claims (11)
1. A method for processing blood vessel information, comprising:
acquiring image data of a target object by using data acquisition equipment, wherein the data acquisition equipment is deployed at a network port of image data acquisition equipment and is used for acquiring the image data from the image data acquisition equipment in a remote mode;
preprocessing the image data to obtain a blood vessel image;
processing the blood vessel image to obtain blood vessel information;
generating a vessel analysis report based on the vessel information.
2. The method of claim 1, wherein preprocessing the image data to obtain a vessel image comprises:
filtering the image data based on a preset filtering mode to obtain an initial blood vessel image, wherein the filtering mode is used for filtering out non-blood vessel regions in the image data, and filtering conditions in the filtering mode are obtained through at least one of the following modes: pre-configuring and obtaining the data from a data processing center;
and labeling the initial blood vessel image to obtain the blood vessel image.
3. The method of claim 1, wherein processing the vessel image to obtain vessel information comprises:
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;
and processing the blood vessel image based on the blood vessel processing strategy to obtain the blood vessel information.
4. The method of claim 3, wherein processing the vessel image based on the vessel processing strategy to obtain the vessel information comprises:
carrying out segmentation processing on the blood vessel image to obtain a target blood vessel image;
extracting a vessel centerline based on the target vessel image;
acquiring a blood vessel contour of the target blood vessel image;
generating a vessel model based on the vessel contour and the vessel centerline;
and analyzing the blood vessel model to obtain the blood vessel information.
5. The method of claim 4, wherein analyzing the vessel model to obtain the vessel information comprises:
acquiring a blood vessel analysis requirement of the target object;
generating a starting instruction based on the blood vessel analysis requirement;
triggering a feature analysis module to start based on the starting instruction, so as to analyze the blood vessel model by using the feature analysis module to obtain the blood vessel information, wherein the blood vessel information comprises at least one of the following: vascular reserve fraction, vascular pressure, vascular status.
6. The method of any one of claims 1 to 5, wherein after processing the vessel image for vessel information, the method further comprises:
determining that the vessel information fails to generate the vessel analysis report;
sending the image data to a first preset terminal, wherein the image data is updated at the first preset terminal to obtain updated image data;
acquiring the updated image data returned by the first preset terminal;
analyzing the updated image data to obtain blood vessel information;
generating the vessel analysis report based on the vessel information.
7. The method of any one of claims 1 to 5, wherein after generating a vessel analysis report based on the vessel information, the method further comprises:
and when the blood vessel analysis report is determined to be abnormal, sending the blood vessel analysis report to a second preset terminal so as to display the blood vessel analysis report by using the second preset terminal.
8. A blood vessel information processing apparatus, comprising:
the system comprises an acquisition module, a processing module and a display module, wherein the acquisition module is used for acquiring image data of a target object by using data acquisition equipment, and the data acquisition equipment is deployed at a network port of the image data acquisition equipment and is used for acquiring the image data from the image data acquisition equipment in a remote mode;
the preprocessing module is used for preprocessing the image data to obtain a blood vessel image;
the processing module is used for processing the blood vessel image to obtain blood vessel information;
a generation module to generate a vessel analysis report based on the vessel information.
9. A blood vessel information processing system characterized by using the blood vessel information processing method according to any one of claims 1 to 7, comprising:
the image data acquisition equipment is used for acquiring the image data of the target object;
the data acquisition equipment is communicated with the image data acquisition equipment and is used for acquiring the image data acquired by the image data acquisition equipment in a remote mode;
the control equipment is communicated with the data acquisition equipment and is used for acquiring the image data from the data acquisition equipment and sending the image data to image data analysis equipment;
the image data analysis equipment is communicated with the control equipment and used for analyzing the image data to obtain blood vessel information and sending the blood vessel information to the control equipment.
10. A computer-readable storage medium, comprising a stored computer program, wherein when the computer program is executed by a processor, the computer-readable storage medium controls an apparatus to execute the method for processing blood vessel information according to any one of claims 1 to 7.
11. A processor, characterized in that the processor is configured to execute a computer program, wherein the computer program executes the method for processing the vessel information according to any one of the preceding claims 1 to 7.
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