CN115170743A - DSA searchlighting angle planning method and system - Google Patents
DSA searchlighting angle planning method and system Download PDFInfo
- Publication number
- CN115170743A CN115170743A CN202210889920.8A CN202210889920A CN115170743A CN 115170743 A CN115170743 A CN 115170743A CN 202210889920 A CN202210889920 A CN 202210889920A CN 115170743 A CN115170743 A CN 115170743A
- Authority
- CN
- China
- Prior art keywords
- angle
- blood vessel
- dimensional
- searchlight
- dsa
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000000034 method Methods 0.000 title claims abstract description 41
- 210000004204 blood vessel Anatomy 0.000 claims abstract description 53
- 238000004904 shortening Methods 0.000 claims description 21
- 238000003860 storage Methods 0.000 claims description 12
- 238000004590 computer program Methods 0.000 claims description 11
- 238000005259 measurement Methods 0.000 claims description 9
- 238000004364 calculation method Methods 0.000 claims description 7
- 238000001914 filtration Methods 0.000 claims description 7
- 238000009877 rendering Methods 0.000 claims description 6
- 238000002604 ultrasonography Methods 0.000 claims description 3
- 238000005286 illumination Methods 0.000 claims 1
- 230000008676 import Effects 0.000 abstract description 2
- 238000010586 diagram Methods 0.000 description 13
- 238000002583 angiography Methods 0.000 description 4
- 238000005516 engineering process Methods 0.000 description 4
- 230000006870 function Effects 0.000 description 4
- 238000012545 processing Methods 0.000 description 4
- 239000002872 contrast media Substances 0.000 description 2
- 210000003748 coronary sinus Anatomy 0.000 description 2
- 210000004351 coronary vessel Anatomy 0.000 description 2
- 230000006378 damage Effects 0.000 description 2
- 208000031481 Pathologic Constriction Diseases 0.000 description 1
- 210000001367 artery Anatomy 0.000 description 1
- 230000008859 change Effects 0.000 description 1
- 238000012937 correction Methods 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 239000003814 drug Substances 0.000 description 1
- 238000000605 extraction Methods 0.000 description 1
- 238000003384 imaging method Methods 0.000 description 1
- 210000003734 kidney Anatomy 0.000 description 1
- 238000004519 manufacturing process Methods 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
- 230000008569 process Effects 0.000 description 1
- 230000002035 prolonged effect Effects 0.000 description 1
- 230000005855 radiation Effects 0.000 description 1
- 238000002601 radiography Methods 0.000 description 1
- 230000036262 stenosis Effects 0.000 description 1
- 208000037804 stenosis Diseases 0.000 description 1
Images
Classifications
-
- 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
-
- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B6/00—Apparatus or devices for radiation diagnosis; Apparatus or devices for radiation diagnosis combined with radiation therapy equipment
- A61B6/50—Apparatus or devices for radiation diagnosis; Apparatus or devices for radiation diagnosis combined with radiation therapy equipment specially adapted for specific body parts; specially adapted for specific clinical applications
- A61B6/504—Apparatus or devices for radiation diagnosis; Apparatus or devices for radiation diagnosis combined with radiation therapy equipment specially adapted for specific body parts; specially adapted for specific clinical applications for diagnosis of blood vessels, e.g. by angiography
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T17/00—Three dimensional [3D] modelling, e.g. data description of 3D objects
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/60—Analysis of geometric attributes
- G06T7/66—Analysis of geometric attributes of image moments or centre of gravity
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/70—Determining position or orientation of objects or cameras
-
- 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]
-
- 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
- G06T2207/10088—Magnetic resonance imaging [MRI]
-
- 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
- G06T2207/10132—Ultrasound image
-
- 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
Landscapes
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- Health & Medical Sciences (AREA)
- General Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Life Sciences & Earth Sciences (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Medical Informatics (AREA)
- Radiology & Medical Imaging (AREA)
- Geometry (AREA)
- General Health & Medical Sciences (AREA)
- Nuclear Medicine, Radiotherapy & Molecular Imaging (AREA)
- Vascular Medicine (AREA)
- Pathology (AREA)
- Software Systems (AREA)
- Dentistry (AREA)
- Oral & Maxillofacial Surgery (AREA)
- Computer Graphics (AREA)
- Biophysics (AREA)
- High Energy & Nuclear Physics (AREA)
- Optics & Photonics (AREA)
- Quality & Reliability (AREA)
- Biomedical Technology (AREA)
- Heart & Thoracic Surgery (AREA)
- Molecular Biology (AREA)
- Surgery (AREA)
- Animal Behavior & Ethology (AREA)
- Public Health (AREA)
- Veterinary Medicine (AREA)
- Apparatus For Radiation Diagnosis (AREA)
Abstract
The method for planning the DSA searchlighting angle comprises the steps of obtaining medical image data; selecting searchlight data from different angles to import according to the medical image data, and reconstructing a three-dimensional model; extracting a target blood vessel region according to the three-dimensional model; selecting a proper point according to the target blood vessel region, extracting a corresponding central line and obtaining corresponding blood vessel data; and calculating the optimal searchlighting angle according to the blood vessel data. The invention also provides a system for DSA searchlighting angle planning, which is used for realizing the method. The method has the advantages that the optimal searchlighting direction can be efficiently, accurately and rapidly calculated, the adaptability range is large, and the method is stable and reliable by combining two-dimensional/three-dimensional images without being limited to certain single image data.
Description
Technical Field
The invention relates to the field of computers and medical instruments, in particular to a DSA searchlighting angle planning method and a DSA searchlighting angle planning system.
Technical Field
DSA is called Digital Subtraction angiography (Digital angiography) in medicine, namely, images of angiography are processed digitally, images of unnecessary tissues are deleted, and only images of blood vessels are reserved. Currently, when a physician is administering a coronary artery (i.e., a coronary artery) to a patient, a DSA technique is needed through which images of the artery are used to diagnostically treat the patient. The continuous development of computer technology and digital imaging technology, the continuous perfection and application of flat panel technology make the main structure and performance of DSA equipment change greatly, and its characteristics are complex technology, high automation degree, better performance and simplified operation.
DSA images are two-dimensional projections of three-dimensional structures, blood vessels are overlapped, doctors can only evaluate the geometric and spatial relation of the stenosis of the blood vessels from a plurality of projection images, and the subjectivity is strong. If the angle of contrast and the contrast times are enhanced, the time is prolonged, the radiation quantity of a patient and a doctor is increased, the using amount of a contrast agent is increased, the using amount of the contrast agent is increased, the risk of kidney damage is increased, more harm is brought to the patient and the doctor, good subtraction is not available, unnecessary tissue images are removed, and observation and judgment of the doctor are interfered. The blood vessels at the same position of different patients are not completely consistent even have great difference, and the routing of the blood vessel path is very complicated, so that the doctor only needs to experience to have great limitation. Therefore, there is a need to provide a method and a system for planning DSA scout angles by using three-dimensional reconstruction to improve the accuracy and efficiency of angiography, and the three-dimensional vessel morphology can provide more free observation scout angles.
Disclosure of Invention
In view of this, the present invention provides a method and a system for planning a search angle of a DSA, which solves the problems: the accuracy and the efficiency of radiography are improved. According to some embodiments of the present disclosure, a method of DSA searchlight angle planning is provided, comprising: acquiring medical image data; selecting searchlight data at different angles to be imported according to the medical image data, reconstructing a three-dimensional model, rotating the reconstructed three-dimensional blood vessel at any angle, and displaying a specific searchlight angle in real time; extracting a target blood vessel region according to the three-dimensional model; selecting a proper point according to the target blood vessel region, extracting a corresponding central line and obtaining corresponding blood vessel data; calculating an optimal searchlighting angle according to the blood vessel data; the manner of searchlight angle calculation: the shortening amount of the target blood vessel (namely the target blood vessel) under a specific searchlighting angle is calculated by utilizing the geometric relation of the difference value of the searchlighting two-dimensional data and the three-dimensional data, the angle with less shortening amount to the target blood vessel is used as a candidate searchlighting angle, and the optimal searchlighting angle is finally calculated and generated according to a built-in set threshold value and an operation convenience principle.
In some embodiments, the medical image data comprises: CTA, ultrasound and other medical image data, and at least two image sequences projected from different angles and having less overlap on a target blood vessel are selected from each group of data.
In some embodiments, the different angle projection is 25 °.
In some embodiments, the different angle projection is 29.3 °.
In some embodiments, the different angle projection is 38.6 °.
In some embodiments, the three-dimensional reconstruction method includes: volume rendering and surface rendering.
In some embodiments, the vessel data comprises: and (3) segmenting the space region coordinates of the blood vessels, the diameters of the blood vessels, the maximum diameter and the minimum diameter.
In some embodiments, the method of computing the shortening is: and comparing the two-dimensional measurement short shrinkage rate of the optimal projection angle of the target blood vessel recommended by software after three-dimensional reconstruction with the two-dimensional measurement short shrinkage rate of the projection angle adopted during intervention, wherein the short shrinkage rate = (1-two-dimensional measurement length/three-dimensional length of blood vessel) × 100%.
In some embodiments, the set threshold is: the amount of vessel shortening was 5%.
In some embodiments, the set threshold is: the amount of vessel shortening was 0%.
In some embodiments, the set threshold is: the amount of vessel shortening was 1.6%.
In some embodiments, the operational convenience principle comprises: the operation is efficient and safe, and accords with the logic and the operation habits of most people, and if a plurality of candidate angles exist, the angles close to the initial position and spaced by 15 degrees are selected as the candidate projection angles.
In accordance with further embodiments of the present disclosure, a DSA searchlight angle planning system comprises:
the acquisition module is used for acquiring medical image data;
the reconstruction module is used for performing three-dimensional reconstruction on the medical image data to generate a three-dimensional model;
the central line module is used for extracting a blood vessel region and generating a central line;
the calculation module is used for calculating the shortening amount and generating a candidate searchlighting angle;
and the filtering module is used for filtering the candidate searchlight angles to obtain the optimal searchlight angle.
The acquisition module transmits the medical image data to the reconstruction module after acquiring the medical image data to complete three-dimensional reconstruction, a three-dimensional model is generated, a blood vessel region is extracted by using a central line module according to the three-dimensional model, a central line is further generated, then the shortening amount is calculated by using a calculation module, candidate searchlighting angles are generated, and the candidate angles are filtered by a filtering module to obtain the optimal searchlighting angle.
In accordance with still other embodiments of the present disclosure, a DSA searchlight angle planning system includes:
a memory; and
a processor coupled to the memory, the processor configured to perform a method of DSA searchlight angle planning as any one of the preceding embodiments based on instructions stored in the memory device.
In further embodiments, a DSA searchlight angle planning computer readable storage medium has a computer program stored thereon, wherein the program when executed by a processor implements the steps of the DSA searchlight angle planning method of any one of the preceding embodiments.
The method has the advantages that the optimal searchlighting direction can be efficiently, accurately and rapidly calculated, the adaptability range is wide, and the method is stable and reliable by combining two-dimensional/three-dimensional images without being limited to certain single image data.
Drawings
In order to more clearly illustrate the embodiments of the present disclosure or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present disclosure, and other drawings can be obtained by those skilled in the art without creative efforts.
Fig. 1 shows a flow diagram of a method of DSA searchlight angle planning of some embodiments of the present disclosure.
Fig. 2 illustrates an architectural schematic diagram of a system for DSA searchlight angle planning of some embodiments of the present disclosure.
Fig. 3 shows a schematic structural diagram of a system for DSA searchlight angle planning of further embodiments of the present disclosure.
Fig. 4 shows a schematic structural diagram of a system for DSA searchlight angle planning of further embodiments of the present disclosure.
Detailed description of the preferred embodiment
The technical solutions in the embodiments of the present disclosure will be described clearly and completely with reference to the drawings in the embodiments of the present disclosure, and it is obvious that the embodiments described are only some embodiments of the present disclosure, rather than all embodiments. The following description of at least one exemplary embodiment is merely illustrative in nature and is in no way intended to limit the disclosure, its application, or uses. All other embodiments, which can be derived by a person skilled in the art from the embodiments disclosed herein without making any creative effort, shall fall within the protection scope of the present disclosure.
A method for DSA searchlight angle planning provided by the present disclosure will be described with reference to fig. 1.
A flow diagram of a method of DSA searchlight angle planning of some embodiments as shown in figure 1. Includes steps S101 to S105:
s101, acquiring medical image data;
in some embodiments, the medical image data is CTA data, and two image sequences are selected that are projected from different angles and have less overlap on the target vessel.
In some embodiments, the different angle projection is 25 °.
In some embodiments, the medical image data is ultrasound medical image data, and three image sequences are selected that are projected from different angles and have less overlap with the target vessel.
In some embodiments, the different angle shots are 27.2 ° and 31.6 °, respectively.
In some embodiments, the medical image data MRA data selects two image sequences projected from different angles with less overlap to the target vessel.
In some embodiments, the different angle projection is 38.1 °.
S102, selecting searchlight data at different angles to import according to the medical image data, reconstructing a three-dimensional model, rotating the reconstructed three-dimensional blood vessel at any angle, and displaying a specific searchlight angle in real time;
in some embodiments, the three-dimensional reconstruction method is volume rendering.
In some embodiments, the three-dimensional reconstruction method is surface rendering.
S103, extracting a target blood vessel region according to the three-dimensional model;
s104, selecting appropriate points according to the target blood vessel region, extracting corresponding center lines, and obtaining corresponding blood vessel data;
in some embodiments, the centerline extraction does not require manual correction.
In some embodiments, the vessel data comprises: and (3) segmenting the space region coordinates of the blood vessels, the diameters of the blood vessels, the maximum diameter and the minimum diameter.
S105, calculating an optimal searchlight angle according to the blood vessel data, wherein the calculation mode of the searchlight angle is as follows: the shortening amount of the target blood vessel (namely the target blood vessel) under a specific searchlighting angle is calculated by utilizing the geometric relation of the difference value of the searchlighting two-dimensional data and the three-dimensional data, the angle with less shortening amount to the target blood vessel is used as a candidate searchlighting angle, and the optimal searchlighting angle is finally calculated and generated according to a built-in set threshold value and an operation convenience principle.
In some embodiments, the method of computing the shortening is: and comparing the two-dimensional measurement short shrinkage rate of the optimal projection angle of the target blood vessel recommended by software after three-dimensional reconstruction with the two-dimensional measurement short shrinkage rate of the projection angle adopted during intervention, wherein the short shrinkage rate = (1-two-dimensional measurement length/three-dimensional length of blood vessel) × 100%.
In some embodiments, the set threshold is: the amount of vessel shortening was 5%.
In some embodiments, the set threshold is: the amount of vessel shortening was 0%.
In some embodiments, the set threshold is: the amount of vessel shortening was 1.6%.
In some embodiments, the operational convenience principle comprises: the operation is efficient and safe, and accords with the logic and the operation habits of most people, for example, when a plurality of candidate angles exist, the angles close to the initial position and spaced by 15 degrees are selected as the candidate projection angles.
In some embodiments, the operational convenience principle comprises: the operation is efficient and safe, and accords with the logic and the operation habits of most people, for example, when a plurality of candidate angles exist, the angles close to the initial position and spaced by 12 degrees are selected as the candidate projection angles.
In some embodiments, in the case of a trilobal lobe, the optimal searchlight angle is preferably the bottom-of-pocket plane right sinus central angle (right coronary sinus floor at centerline position) and then the option of no coincidence or left-right coincidence angle (right coronary sinus perpendicular to centerline) is available. The right sinus was centered in one set of data, resulting in the optimal angle of LAO 9 °, and the optimal recommended angle of right non-coincidence in one set of data was LAO 37 °.
In one embodiment, for a left-right coincidence condition, the calculated recommended angle is RAO 14 °
In some embodiments, after the sinus floor is identified and the valve annulus is generated for the desired environment in the aortic root, the clinically widely used scene angles such as the overlapping position of the left and right sinuses and the central position of the right sinus are provided, so that the corresponding optimal contrast searchlighting angle values can be provided for different image data quickly.
In accordance with further embodiments of the present disclosure, a DSA searchlight angle planning system comprises:
an obtaining module 201, configured to obtain medical image data;
the reconstruction module 202 is configured to perform three-dimensional reconstruction on the medical image data to generate a three-dimensional model;
a center line module 203, configured to extract a blood vessel region and generate a center line;
a calculating module 204, configured to calculate a shortening amount and generate a candidate searchlighting angle;
and the filtering module 205 is configured to filter the candidate searchlight angles to obtain an optimal searchlight angle.
The acquisition module transmits the medical image data to the reconstruction module after acquiring the medical image data to complete three-dimensional reconstruction, a three-dimensional model is generated, a blood vessel region is extracted by using a central line module according to the three-dimensional model, a central line is further generated, then the shortening amount is calculated by using a calculation module, candidate searchlighting angles are generated, and the candidate angles are filtered by a filtering module to obtain the optimal searchlighting angle.
In accordance with still other embodiments of the present disclosure, a DSA searchlight angle planning system includes:
a memory; and a processor coupled to the memory, the processor configured to perform a method of DSA searchlight angle planning as any one of the preceding embodiments based on instructions stored in the memory device.
In further embodiments, a DSA searchlight angle planning computer readable storage medium, on which a computer program is stored, is characterized in that the program, when executed by a processor, implements the steps of the DSA searchlight angle planning method according to any one of the preceding embodiments.
The means for DSA searchlight angle planning in embodiments of the present disclosure may each be implemented by various computing devices or computer systems, described below in conjunction with fig. 3 and 4.
Fig. 3 is a block diagram of some embodiments of the disclosed DSA searchlight angle planning system. As shown in fig. 3, the system 30 of this embodiment includes: a memory 301 and a processor 302 coupled to the memory 301, the processor 302 being configured to perform a method of DSA searchlight angle planning in any of the embodiments of the present disclosure based on instructions stored in the memory 301.
Fig. 4 is a block diagram of further embodiments of the disclosed DSA searchlight angle planning system. As shown in fig. 4, the system 40 of this embodiment includes: the bus 401, memory 404, and processor 402 are similar to the memory 301 and processor 302, respectively. An input output interface 403, a storage interface 405, a network interface 406, etc. may also be included. These interfaces 403, 405, 406 and the memory 404 may be connected to the processor 402, for example, via a bus 401. The input/output interface 403 provides a connection interface for input/output devices such as a display, a mouse, a keyboard, and a touch screen. The storage interface 405 provides a connection interface for external storage devices such as an SD card and a usb disk. The network interface 406 provides a connection interface for various networked devices, such as may connect to a database server or a cloud storage server, among others.
The present disclosure also provides a computer-readable storage medium having stored thereon a computer program which, when executed by a processor, implements the steps of the method of segmented image generation of any of the preceding embodiments.
As will be appreciated by one skilled in the art, embodiments of the present disclosure may be provided as a method, system, or computer program product. Accordingly, the present disclosure may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present disclosure may take the form of a computer program product embodied on one or more computer-usable non-transitory storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and so forth) having computer-usable program code embodied therein.
The present disclosure is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the disclosure. It will be understood that each flow and/or block of the flowchart illustrations and/or block diagrams, and combinations of flows and/or blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
The above description is only exemplary of the present disclosure and is not intended to limit the present disclosure, which is to be construed in any way as imposing limitations thereon, such as the appended claims, and all changes and equivalents that fall within the true spirit and scope of the present disclosure.
Claims (10)
1. A search illumination angle planning method for DSA is characterized by comprising the following steps:
acquiring medical image data;
selecting searchlight data at different angles to be imported according to the medical image data, reconstructing a three-dimensional model, rotating the reconstructed three-dimensional blood vessel at any angle, and displaying a specific searchlight angle in real time;
extracting a target blood vessel region according to the three-dimensional model;
selecting a proper point according to the target blood vessel region, extracting a corresponding central line and obtaining corresponding blood vessel data;
calculating an optimal searchlighting angle according to the blood vessel data;
the manner of searchlight angle calculation: the shortening amount of the target blood vessel (namely the target blood vessel) under a specific searchlighting angle is calculated by utilizing the geometric relation of the difference value of the searchlighting two-dimensional data and the three-dimensional data, the angle with less shortening amount to the target blood vessel is used as a candidate searchlighting angle, and the optimal searchlighting angle is finally calculated and generated according to a built-in set threshold value and an operation convenience principle.
2. The method of claim 1, wherein the medical image data comprises: CTA, ultrasound and other medical image data, and at least two image sequences projected from different angles and having less overlap on a target blood vessel are selected from each group of data.
3. The method of claim 1, wherein the three-dimensional reconstruction method comprises: volume rendering and surface rendering.
4. The method of claim 1, wherein the vessel data comprises: and (3) dividing the space region coordinates of the blood vessels, the diameter of the blood vessels, the maximum diameter and the minimum diameter.
5. The method of claim 1, wherein the method of computing the shortening is: and comparing the two-dimensional measurement short shrinkage rate of the optimal projection angle of the target blood vessel recommended by software after three-dimensional reconstruction with the two-dimensional measurement short shrinkage rate of the projection angle adopted during intervention, wherein the short shrinkage rate = (1-two-dimensional measurement length/three-dimensional length of blood vessel) × 100%.
6. The method of claim 1, wherein the set threshold is: the blood vessel has less shortening amount, the setting is less than 5%, namely 0% to 5%, the number of the candidate angles can be ensured while the precision and the error are ensured, and the optimal balance is achieved.
7. The method of claim 1, wherein the operational convenience criteria comprises: the operation is efficient and safe, and accords with the logic and the operation habits of most people, for example, when a plurality of candidate angles exist, the angles close to the initial position and spaced by 15 degrees are selected as the candidate projection angles.
8. A DSA searchlight angle planning system, comprising:
the acquisition module is used for acquiring medical image data;
the reconstruction module is used for performing three-dimensional reconstruction on the medical image data to generate a three-dimensional model;
the central line module is used for extracting a blood vessel region and generating an extracted central line;
the calculation module is used for calculating the shortening amount and generating a candidate searchlighting angle;
and the filtering module is used for filtering the candidate searchlight angles to obtain the optimal searchlight angle.
9. A DSA searchlight angle planning system, comprising:
a memory; and
a processor coupled to the memory, the processor configured to perform the method of DSA searchlight angle planning of any of claims 1-7 based on instructions stored in the memory device.
10. A DSA searchlight angle planning computer readable storage medium having a computer program stored thereon, characterized in that the program, when executed by a processor, performs the steps of the method of any one of claims 1-7.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210889920.8A CN115170743A (en) | 2022-07-27 | 2022-07-27 | DSA searchlighting angle planning method and system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210889920.8A CN115170743A (en) | 2022-07-27 | 2022-07-27 | DSA searchlighting angle planning method and system |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN115170743A true CN115170743A (en) | 2022-10-11 |
Family
ID=83497367
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202210889920.8A Pending CN115170743A (en) | 2022-07-27 | 2022-07-27 | DSA searchlighting angle planning method and system |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN115170743A (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115619750A (en) * | 2022-10-27 | 2023-01-17 | 拓微摹心数据科技(北京)有限公司 | Method for calculating contrast projection angle in TAVR (percutaneous transluminal coronary angiography) operation by taking coronary sinus as reference |
-
2022
- 2022-07-27 CN CN202210889920.8A patent/CN115170743A/en active Pending
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115619750A (en) * | 2022-10-27 | 2023-01-17 | 拓微摹心数据科技(北京)有限公司 | Method for calculating contrast projection angle in TAVR (percutaneous transluminal coronary angiography) operation by taking coronary sinus as reference |
| CN115619750B (en) * | 2022-10-27 | 2023-09-22 | 拓微摹心数据科技(南京)有限公司 | Calculation method of contrast projection angle in TAVR (total automated video computing) operation based on coronary sinus |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| JP6790179B2 (en) | Useful results for real-time diagnostics | |
| JP6871250B2 (en) | Efficient sharing of medical imaging and medical imaging information | |
| CN109559326B (en) | Hemodynamic parameter calculation method and system and electronic device | |
| Liao et al. | 3-D reconstruction of the coronary artery tree from multiple views of a rotational X-ray angiography | |
| JP6912168B2 (en) | Methods and equipment to improve 3D + time reconstruction | |
| CN110517238B (en) | AI three-dimensional reconstruction and human-computer interaction visualization network system for CT medical image | |
| JP6768862B2 (en) | Medical image processing method, medical image processing device, medical image processing system and medical image processing program | |
| CN102551780A (en) | Device and computed tomography scanner for determining and visualizing the perfusion of the myocardial muscle | |
| CA2776203A1 (en) | Determining contours of a vessel using an active contouring model | |
| CN112419484B (en) | Three-dimensional vascular synthesis method, system, coronary artery analysis system and storage medium | |
| CN112116615A (en) | Method and device for obtaining blood vessel contour line according to blood vessel central line | |
| US11017531B2 (en) | Shell-constrained localization of vasculature | |
| CN113160189A (en) | Blood vessel center line extraction method, device, equipment and storage medium | |
| WO2020109813A1 (en) | Reconstruction method of organ vessel centerline | |
| Cardenes et al. | 3D reconstruction of coronary arteries from rotational X-ray angiography | |
| CN115170743A (en) | DSA searchlighting angle planning method and system | |
| CN103247071A (en) | Method and device for constructing three-dimensional blood vessel model | |
| CN109523507B (en) | Method and device for generating lesion image and computer readable storage medium | |
| JP6970737B2 (en) | Systems and methods for determining respiratory blood volume changes from 4D computed tomography | |
| CN111627023B (en) | Method and device for generating coronary artery projection image and computer readable medium | |
| JP2014026653A (en) | Medical image processing apparatus, medical image diagnosing apparatus, and medical image processing program | |
| CN107170021B (en) | Refined reconstruction of time-varying data | |
| US20220039769A1 (en) | Method, device, and system for determining abnormality in myocardium region | |
| CN111798468B (en) | Image processing method and device, storage medium and electronic terminal | |
| CN115147360A (en) | Plaque segmentation method and device, electronic equipment and readable storage medium |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication |