CN110910374A - Intelligent processing system and method for aorta image - Google Patents
Intelligent processing system and method for aorta image Download PDFInfo
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- CN110910374A CN110910374A CN201911164554.4A CN201911164554A CN110910374A CN 110910374 A CN110910374 A CN 110910374A CN 201911164554 A CN201911164554 A CN 201911164554A CN 110910374 A CN110910374 A CN 110910374A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/0002—Inspection of images, e.g. flaw detection
- G06T7/0012—Biomedical image inspection
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/10—File systems; File servers
- G06F16/13—File access structures, e.g. distributed indices
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/10—File systems; File servers
- G06F16/16—File or folder operations, e.g. details of user interfaces specifically adapted to file systems
- G06F16/162—Delete operations
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/10—File systems; File servers
- G06F16/16—File or folder operations, e.g. details of user interfaces specifically adapted to file systems
- G06F16/168—Details of user interfaces specifically adapted to file systems, e.g. browsing and visualisation, 2d or 3d GUIs
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- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H30/00—ICT specially adapted for the handling or processing of medical images
- G16H30/20—ICT specially adapted for the handling or processing of medical images for handling medical images, e.g. DICOM, HL7 or PACS
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/10—Image acquisition modality
- G06T2207/10072—Tomographic images
- G06T2207/10081—Computed x-ray tomography [CT]
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/30—Subject of image; Context of image processing
- G06T2207/30004—Biomedical image processing
- G06T2207/30101—Blood vessel; Artery; Vein; Vascular
Abstract
The invention discloses an aorta image intelligent processing system and method, comprising the following steps: the folder module is used for managing the same group of data in a folder mode and comprises the following steps: creating, searching, classifying, deleting and modifying folders; the data import module is used for selecting import pictures, image sequences and three-dimensional models; the data browsing module is used for browsing pictures, image sequences and three-dimensional model files; the intelligent analysis and processing module is used for carrying out intelligent analysis and processing on the CT angiography data and comprises: extracting blood vessels, straightening the blood vessels, outputting information and reconstructing a model; and the data storage module is used for storing the model obtained after the three-dimensional modeling. The invention realizes multiple segmentation of medical image data, directly outputs a bit virtual model after the CTA angiography result is automatically analyzed and processed, and helps a doctor accurately position and window in the operation. Through software background measurement, direct visual positioning in the operation is realized, data is accurate, simple and easy to operate, and efficiency is high.
Description
Technical Field
The invention relates to the field of medical image processing, in particular to an aorta image intelligent processing system and method.
Background
The aorta stent windowing technology for treating complex aorta diseases is preliminarily applied to clinic, but how to rapidly and accurately position windowing parts in a personalized way, the existing common means comprise manual measurement and 3D model printing, and the problems of errors and too long time consumption exist. Secondly, the windowing position of the stent is obtained by imaging measurement, which may cause certain errors due to indirect measurement. The main complication is that the branch artery cannot be reconstructed due to the deviation of the fenestration position, and then the related complication occurs.
For example, the patent application No. 201610694873.6 discloses a method for performing aortic stent body out-fenestration by using a 3D printing model, which comprises the following process steps: acquiring CT or nuclear magnetic imaging data of the aorta and the branches of a patient, and processing the data into a data format which can be recognized by a 3D printer; transmitting the processed data to a 3D printer, and printing by the printer; polishing the obtained die; sterilizing the mould at normal temperature, and placing the mould on an operating table after sterilization; placing the aortic stent type blood vessel in a mould, and marking the stent according to the position and the size of the opening of the branch artery; taking out the bracket and performing windowing and remaking according to the mark; reloading the modified support into the conveyor; the stent is released in vivo and the branched artery is finally reconstructed through the window. Compared with the existing manual measurement or indirect measurement of medical images, the efficiency of the outward opening window of the aortic stent body is improved, but the printed model still needs to be subjected to subsequent polishing, disinfection, marking, window opening modification, loading into a conveyor and reconstruction of branch arteries, the steps are complicated, time and labor are wasted, errors exist inevitably, and the final model is not accurate enough.
Disclosure of Invention
Technical problem to be solved
The invention aims to provide an aorta image intelligent processing system and method, and aims to solve the problems that the existing 3D printing model for performing aorta stent body outward windowing has complicated steps, wastes time and labor, and the subsequent operation steps are easy to have errors.
(II) technical scheme
In order to solve the problems that the existing 3D printing model is used for performing aortic stent body outward opening window, the steps are complicated, time and labor are wasted, and errors are easy to occur in the subsequent operation steps, the invention provides the following technical scheme:
an aorta image intelligent processing system, comprising:
the folder module is used for managing the same group of data in a folder mode and comprises the following steps: creating, searching, classifying, deleting and modifying folders;
the data import module is used for selecting import pictures, image sequences and three-dimensional models;
the data browsing module is used for browsing pictures, image sequences and three-dimensional model files;
the intelligent analysis and processing module is used for carrying out intelligent analysis and processing on the CT angiography data and comprises: extracting blood vessels, straightening the blood vessels, outputting information and reconstructing a model;
and the data storage module is used for storing the model obtained after the three-dimensional modeling.
Preferably, the three-dimensional model imported by the data import module comprises an stl model and a js3d model.
Preferably, the three-dimensional model browsed by the data browsing module comprises an stl model and a js3d model.
Preferably, the intelligent analysis and processing module performs intelligent analysis and processing of extracting blood vessels, straightening blood vessels, outputting information and reconstructing a model on the CT angiography data, and specifically includes:
extracting blood vessels, and intelligently extracting the blood vessels by one key based on a rapid blood vessel boundary tracking vascular modeling technology;
straightening the blood vessel, and intelligently extracting a blood vessel result based on one key, wherein the one key intelligently straightens the blood vessel;
reconstructing a model, namely reconstructing a straightened blood vessel model in three dimensions based on the result of the intelligent straightened blood vessel;
and outputting information, intelligently analyzing the blood vessel based on the result of intelligent straightening, and outputting the aperture information and the relative position information of the brachiocephalic trunk, the left common carotid artery and the left subclavian artery.
Preferably, the data storage module stores a model obtained after three-dimensional modeling as a.js 3d model, and stores one or more three-dimensional models as a.jsmr model.
An aorta image intelligent processing method comprises the following steps:
if the established folder exists, directly opening the file, and if the established folder does not exist, newly establishing the folder; then, judging whether the folder needs to be edited or not, and if so, editing;
judging whether data is required to be imported or not, if so, importing the pictures, the image sequences and the three-dimensional models, and if not, opening the pictures, the image sequences and the three-dimensional models;
judging whether data needs to be browsed or not, and browsing and checking the imported pictures, image sequences and three-dimensional models if the data needs to be browsed;
judging whether intelligent analysis and processing are needed, if so, extracting blood vessels, straightening the blood vessels, reconstructing a model and outputting information;
and finally, storing the model obtained after the three-dimensional modeling.
Preferably, the three-dimensional model imported when importing data includes a. stl model and a. js3d model.
Preferably, the three-dimensional model imported when browsing data includes a. stl model and a. js3d model.
Preferably, the intelligent analysis and processing comprises the steps of extracting blood vessels, straightening blood vessels, reconstructing models and outputting information, and specifically comprises the following steps:
extracting blood vessels, and intelligently extracting the blood vessels by one key based on a rapid blood vessel boundary tracking vascular modeling technology;
straightening the blood vessel, and intelligently extracting a blood vessel result based on one key, wherein the one key intelligently straightens the blood vessel;
reconstructing a model, namely reconstructing a straightened blood vessel model in three dimensions based on the result of the intelligent straightened blood vessel;
and outputting information, intelligently analyzing the blood vessel based on the result of intelligent straightening, and outputting the aperture information and the relative position information of the brachiocephalic trunk, the left common carotid artery and the left subclavian artery.
Preferably, the storing the model obtained after the three-dimensional modeling specifically comprises: and storing the model obtained after three-dimensional modeling as a.js 3d model, and storing the single or multiple three-dimensional models as a.jsmr model.
(III) advantageous effects
Compared with the prior art, the invention provides an aorta image intelligent processing system and method, which have the following beneficial effects: the invention realizes multiple segmentation of medical image data, directly outputs a bit virtual model after the CTA angiography result is automatically analyzed and processed, and helps a doctor accurately position and window in the operation. Through software background measurement, direct visual location in the art, data are accurate, simple and easy to do, efficiency is higher, solves current application 3D and prints the model and carry out aorta stent body external windowing and has the step numerous and diverse, waste time and energy, and subsequent operating procedure easily has the problem of error.
Drawings
FIG. 1 is a system block diagram of an aorta image intelligent processing system according to the present invention;
FIG. 2 is a flowchart of a method of an aorta image intelligent processing method according to the present invention;
FIG. 3 is a schematic diagram of a main interface of the aorta image intelligent processing system software according to the present invention;
FIG. 4 is a schematic diagram of a data importing/browsing interface of the aorta image intelligent processing system according to the present invention;
FIG. 5 is a schematic diagram of a software data processing interface of the aorta image intelligent processing system according to the present invention;
FIG. 6 is a dialogue block diagram of folder information modification under the data import \ browse interface style sheet of the aorta image intelligent processing system software of the present invention;
fig. 7 is a file deletion dialogue block diagram under the style chart of the aorta image intelligent processing system software data import \ browse interface of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
As shown in fig. 1, the present invention provides an aorta image intelligent processing system, comprising:
the folder module is used for managing the same group of data in a folder mode and comprises the following steps: creating, searching, classifying, deleting and modifying folders;
the data import module is used for selecting import pictures, image sequences and three-dimensional models;
the data browsing module is used for browsing pictures, image sequences and three-dimensional model files;
the intelligent analysis and processing module is used for carrying out intelligent analysis and processing on the CT angiography data and comprises: extracting blood vessels, straightening the blood vessels, outputting information and reconstructing a model;
and the data storage module is used for storing the model obtained after the three-dimensional modeling.
The three-dimensional model imported by the data import module comprises an stl model and a js3d model.
The three-dimensional model browsed by the data browsing module comprises an stl model and a js3d model.
Wherein, intelligent analysis and processing module draws the intelligent analysis and the processing of blood vessel, flare-out blood vessel, output information, reconstruction model to CT angiography data, specifically is:
extracting blood vessels, and intelligently extracting the blood vessels by one key based on a rapid blood vessel boundary tracking vascular modeling technology;
straightening the blood vessel, and intelligently extracting a blood vessel result based on one key, wherein the one key intelligently straightens the blood vessel;
reconstructing a model, namely reconstructing a straightened blood vessel model in three dimensions based on the result of the intelligent straightened blood vessel;
and outputting information, intelligently analyzing the blood vessel based on the result of intelligent straightening, and outputting the aperture information and the relative position information of the brachiocephalic trunk, the left common carotid artery and the left subclavian artery.
The data storage module stores a model obtained after three-dimensional modeling as a js3d model and stores one or more three-dimensional models as jsmr models.
As shown in fig. 2, the present invention further provides an aorta image intelligent processing method, which comprises the following steps:
if the established folder exists, directly opening the file, and if the established folder does not exist, newly establishing the folder; then, judging whether the folder needs to be edited or not, and if so, editing;
judging whether data is required to be imported or not, if so, importing the pictures, the image sequences and the three-dimensional models, and if not, opening the pictures, the image sequences and the three-dimensional models;
judging whether data needs to be browsed or not, and browsing and checking the imported pictures, image sequences and three-dimensional models if the data needs to be browsed;
judging whether intelligent analysis and processing are needed, if so, extracting blood vessels, straightening the blood vessels, reconstructing a model and outputting information;
and finally, storing the model obtained after the three-dimensional modeling.
The three-dimensional model imported when importing data includes the stl model and the js3d model.
The three-dimensional models imported when browsing data include the stl model and the js3d model.
Wherein, draw the blood vessel during intelligent analysis and processing, straighten the blood vessel, rebuild the model, output information, specifically do:
extracting blood vessels, and intelligently extracting the blood vessels by one key based on a rapid blood vessel boundary tracking vascular modeling technology;
straightening the blood vessel, and intelligently extracting a blood vessel result based on one key, wherein the one key intelligently straightens the blood vessel;
reconstructing a model, namely reconstructing a straightened blood vessel model in three dimensions based on the result of the intelligent straightened blood vessel;
and outputting information, intelligently analyzing the blood vessel based on the result of intelligent straightening, and outputting the aperture information and the relative position information of the brachiocephalic trunk, the left common carotid artery and the left subclavian artery.
The storage of the model obtained after three-dimensional modeling specifically comprises the following steps: and storing the model obtained after three-dimensional modeling as a.js 3d model, and storing the single or multiple three-dimensional models as a.jsmr model.
As shown in fig. 3, is the system main interface style:
the main interface consists of several parts:
a menu bar:
(1) upper left side: software Logo and name;
(2) upper right side: including configuration, help, minimize, close, etc. function icons;
(3) the following steps: and displaying the names of the interfaces, including a main interface- > folder list, and a data import \ browse interface and a data processing interface which are opened by a user during program operation.
Folder list interface: in the middle of the main interface, the main interface is divided into a folder list function bar and a folder list display area:
(1) the folder list function bar comprises a folder classification menu, a folder search menu and a newly-built menu;
(2) the folder list display area displays relevant folders under search or sort conditions.
Hospital information: on the lower left side of the main interface; the Logo and name of the hospital are displayed, as well as the default department.
Disk information: on the lower right side of the main interface; and displaying the disk information of the program installation disk.
As shown in FIG. 4, the data import \ browse interface style
The device mainly comprises the following parts:
(1) upper left side: software Logo and name;
(2) upper right side: including configuration, help, minimize, close, etc. function icons;
(3) the following steps: and displaying the names of the interfaces, including a main interface- > folder list, and a data import \ browse interface and a data processing interface which are opened by a user during program operation.
there are three functional options: at the most left side is
Intelligent analysis and processing, right hand side
Modifying a folder, an
Deleting the folder:
(1) after the introduction of the sequence of images,
the option will become
After clicking, the aortic arch can be intelligently analyzed and processed;
(2) click on
Thereafter, changes may be made to the folder information, as shown in FIG. 6:
(3) click on
Thereafter, a confirmation box for deleting the folder is popped up, and "yes" is selected to delete the folder, as shown in fig. 7.
displaying the imported picture, the image sequence and the three-dimensional model;
Pictures, image sequences and models can be imported separately.
the information in the folder is displayed, including folder name, patient name, gender, age.
As shown in fig. 5, the style of data processing interface is mainly composed of the following parts:
(1) upper left side: software Logo and name;
(2) upper right side: including configuration, help, minimize, close, etc. function icons;
(3) the following steps: and displaying the names of the interfaces, including a main interface- > folder list, and a data import \ browse interface and a data processing interface which are opened by a user during program operation.
at the left side below the menu bar, there are four squares, coronal bitmap, transverse bitmap, sagittal bitmap, and 3D view
on the left side below the menu bar, three layers of operation menus are arranged:
(1) the uppermost layer is an operating area of four main functions of three-dimensional modeling, comprising: extracting blood vessels, straightening the blood vessels, outputting information and reconstructing a model; the results of each of these functions are shown in tabular form.
(2) The lowest part is an operation area of the saving function, and the selected model can be saved.
In conclusion, the aorta image intelligent analysis and processing software realizes various segmentation of medical image data and rebuilds a three-dimensional model of the aorta, thereby greatly facilitating medical workers. The CT result of the patient is directly displayed on an intraoperative operating table by adopting a mixed reality technology. After the CTA angiography result is automatically analyzed and processed, a position virtual model is directly output, and a doctor is helped to accurately position and window in the operation. Through software background measurement, direct visual positioning in the operation, accurate data, simple and easy, efficiency are higher, solve current application 3D print model and carry out aortic stent body swinging-out casement window and have the step numerous and diverse, waste time and energy, and subsequent operating procedure also difficult to avoid the problem that does not have the error.
It is noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other identical elements in a process, method, article, or apparatus that comprises the element.
Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that changes, modifications, substitutions and alterations can be made in these embodiments without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.
Claims (10)
1. An aorta image intelligent processing system, comprising:
the folder module is used for managing the same group of data in a folder mode and comprises the following steps: creating, searching, classifying, deleting and modifying folders;
the data import module is used for selecting import pictures, image sequences and three-dimensional models;
the data browsing module is used for browsing pictures, image sequences and three-dimensional model files;
the intelligent analysis and processing module is used for carrying out intelligent analysis and processing on the CT angiography data and comprises: extracting blood vessels, straightening the blood vessels, outputting information and reconstructing a model;
and the data storage module is used for storing the model obtained after the three-dimensional modeling.
2. The system for intelligently processing aortic images as claimed in claim 1, wherein the three-dimensional model imported by the data import module comprises the stl model and the js3d model.
3. The system of claim 1, wherein the three-dimensional model browsed by the data browsing module comprises an stl model and a js3d model.
4. The system for intelligently processing aortic images as claimed in claim 1, wherein the intelligent analysis and processing module performs intelligent analysis and processing of extracting vessels, straightening vessels, outputting information, reconstructing models for CT angiography data, specifically:
extracting blood vessels, and intelligently extracting the blood vessels by one key based on a rapid blood vessel boundary tracking vascular modeling technology;
straightening the blood vessel, and intelligently extracting a blood vessel result based on one key, wherein the one key intelligently straightens the blood vessel;
reconstructing a model, namely reconstructing a straightened blood vessel model in three dimensions based on the result of the intelligent straightened blood vessel;
and outputting information, intelligently analyzing the blood vessel based on the result of intelligent straightening, and outputting the aperture information and the relative position information of the brachiocephalic trunk, the left common carotid artery and the left subclavian artery.
5. The system for intelligently processing aortic images as claimed in claim 1, wherein the data storage module stores the three-dimensional model as js3d model, and stores one or more three-dimensional models as jsmr model.
6. An aorta image intelligent processing method is characterized by comprising the following steps:
if the established folder exists, directly opening the file, and if the established folder does not exist, newly establishing the folder; then, judging whether the folder needs to be edited or not, and if so, editing;
judging whether data is required to be imported or not, if so, importing the pictures, the image sequences and the three-dimensional models, and if not, opening the pictures, the image sequences and the three-dimensional models;
judging whether data needs to be browsed or not, and browsing and checking the imported pictures, image sequences and three-dimensional models if the data needs to be browsed;
judging whether intelligent analysis and processing are needed, if so, extracting blood vessels, straightening the blood vessels, reconstructing a model and outputting information;
and finally, storing the model obtained after the three-dimensional modeling.
7. The method as claimed in claim 6, wherein the three-dimensional model imported during data import includes an stl model and a js3d model.
8. The method as claimed in claim 6, wherein the three-dimensional model imported during browsing data includes. stl model,. js3d model.
9. The method for intelligently processing aortic images as claimed in claim 6, wherein the intelligent analysis and processing comprises the steps of extracting blood vessels, straightening blood vessels, reconstructing models, and outputting information:
extracting blood vessels, and intelligently extracting the blood vessels by one key based on a rapid blood vessel boundary tracking vascular modeling technology;
straightening the blood vessel, and intelligently extracting a blood vessel result based on one key, wherein the one key intelligently straightens the blood vessel;
reconstructing a model, namely reconstructing a straightened blood vessel model in three dimensions based on the result of the intelligent straightened blood vessel;
and outputting information, intelligently analyzing the blood vessel based on the result of intelligent straightening, and outputting the aperture information and the relative position information of the brachiocephalic trunk, the left common carotid artery and the left subclavian artery.
10. The method for intelligently processing an aortic image as claimed in claim 6, wherein the storing the model obtained after the three-dimensional modeling specifically comprises: and storing the model obtained after three-dimensional modeling as a.js 3d model, and storing the single or multiple three-dimensional models as a.jsmr model.
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| CN112057204A (en) * | 2020-07-23 | 2020-12-11 | 常州锦瑟医疗信息科技有限公司 | Aorta blood vessel support windowing device based on mixed reality technology |
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