CN115471558A - Carotid artery lesion position positioning method and system - Google Patents
Carotid artery lesion position positioning method and system Download PDFInfo
- Publication number
- CN115471558A CN115471558A CN202211261836.8A CN202211261836A CN115471558A CN 115471558 A CN115471558 A CN 115471558A CN 202211261836 A CN202211261836 A CN 202211261836A CN 115471558 A CN115471558 A CN 115471558A
- Authority
- CN
- China
- Prior art keywords
- carotid artery
- mutual position
- position relation
- imaging
- aortic arch
- 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
Images
Classifications
-
- 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
- G06T7/73—Determining position or orientation of objects or cameras using feature-based methods
-
- 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
- G06T2207/30—Subject of image; Context of image processing
- G06T2207/30004—Biomedical image processing
- G06T2207/30101—Blood vessel; Artery; Vein; Vascular
Abstract
The invention belongs to the technical field of medical image processing, and particularly relates to a carotid artery lesion position positioning method and system. The positioning method comprises the following steps: step 1, obtaining a mutual position relation A of a carotid artery pathological change part and a cervical vertebra by adopting an imaging method; step 2, obtaining a mutual position relation B of the cervical vertebra and the thoracic aortic arch by adopting an imaging method; and 3, calculating the relative position of the carotid artery lesion part relative to the thoracic aortic arch according to the mutual position relation A and the mutual position relation B obtained in the steps 1 and 2. The invention further provides a system for realizing the method. The invention can position the lesion part of the carotid artery by taking the characteristic position (such as thoracic aortic arch) which is conveniently exposed in the anatomical experiment as the reference, thereby guiding the material taking of the pathological part in the anatomical experiment, and has the advantages of good accuracy, independence of the experience of an operator and good applicability, thereby having good application prospect.
Description
Technical Field
The invention belongs to the technical field of medical image processing, and particularly relates to a carotid artery lesion position positioning method and system.
Background
Imaging modalities, including magnetic resonance imaging, computed tomography imaging, and digital subtraction angiography imaging, are widely used in clinical and scientific work for diagnosis and differential diagnosis of carotid lesions. The carotid artery pathological change position found in the imaging science corresponds to the corresponding position of the pathological specimen accurately, and the pathological specimen is sampled accurately, so that the carotid artery pathological change position detection method is favorable for performing fine analysis and comparison on each carotid artery pathological change.
However, carotid lesions are difficult to discern visually during dissection. In the prior art, researchers in the field locate lesions in the carotid artery based primarily on experience or the location of the branches of the vessel. However, empirical positioning requires a high level of expertise on the operator and is prone to large errors. In addition, since there is a portion of the carotid artery where there is no branch of the blood vessel, it is not applicable to all cases to locate the lesion position of the carotid artery by using the position of the branch of the blood vessel.
Therefore, in the material selection of pathological specimens of carotid artery lesion, the accurate positioning of the lesion part of the carotid artery is still a difficult problem to be solved urgently in the field.
Disclosure of Invention
Aiming at the problems in the prior art, the invention provides a carotid artery lesion position positioning method and system, aiming at accurately positioning a carotid artery lesion position by means of imaging and facilitating the taking of pathological specimens in the subsequent dissection process.
A carotid artery lesion position locating method comprises the following steps:
step 1, obtaining a mutual position relation A of a carotid artery pathological change part and a cervical vertebra by adopting an imaging method;
step 2, obtaining a mutual position relation B of the cervical vertebra and the thoracic aorta arch by adopting an imaging method;
and 3, calculating the relative position of the carotid artery lesion part relative to the thoracic aortic arch according to the mutual position relation A and the mutual position relation B obtained in the steps 1 and 2.
Preferably, in step 1, the digital subtraction angiography imaging is used to obtain the mutual position relationship a between the lesion site of the carotid artery and the cervical vertebra.
Preferably, in step 2, the mutual position relationship B between the cervical vertebra and the thoracic aortic arch is obtained by magnetic resonance imaging or computed tomography.
Preferably, in step 2, the neck scanning range of the magnetic resonance imaging or the computed tomography is determined according to the mutual position relationship a, and the mutual position relationship B is obtained according to the magnetic resonance imaging or the computed tomography.
The invention also provides a system for realizing the positioning method, which comprises the following steps:
the first identification module is used for identifying the mutual position relationship A between the carotid artery lesion part and the cervical vertebra according to the input imaging image;
the second identification module is used for identifying the mutual position relation B of the cervical vertebra and the thoracic aortic arch according to the input iconography image;
and the calculating module is used for calculating the relative position of the carotid artery lesion part relative to the thoracic aortic arch according to the mutual position relation A and the mutual position relation B.
Preferably, the first identification module is configured to identify an image obtained by digital subtraction angiography imaging.
Preferably, the second identification module is used for identifying images obtained by magnetic resonance imaging or computed tomography.
The present invention also provides a computer-readable storage medium having stored thereon a computer program for implementing the above-described positioning method or system.
In the present invention, the imaging method can be any method known in the art, such as: magnetic resonance imaging, computed tomography imaging or digital subtraction angiography imaging.
The difficulty with imaging to locate a carotid artery lesion is that the positional relationship between the carotid artery lesion and other features visible during the dissection cannot be obtained from one imaging. For example, in digital subtraction angiography imaging, pathological parts of the cervical vertebrae and the carotid artery can be detected, however, the cervical vertebrae are difficult to be fully exposed in the process of dissection, so that a researcher cannot be guided to position the pathological part of the carotid artery in the dissection; in magnetic resonance imaging or computed tomography, visually distinguishable features such as the thoracic aortic arch can be detected, however, carotid artery lesion sites cannot be distinguished in magnetic resonance computed tomography images. In order to solve the difficulties, the invention combines two imaging methods, uses the cervical vertebra as a reference, respectively detects the positions of the carotid artery diseased part and the thoracic aortic arch relative to the cervical vertebra, thereby obtaining the relative position between the carotid artery diseased part and the thoracic aortic arch, and can guide the subsequent anatomical sampling through the relative position between the carotid artery diseased part and the thoracic aortic arch. The positioning method disclosed by the invention is high in accuracy, independent of operator experience, good in applicability and good in application prospect.
It will be apparent that various other modifications, substitutions and alterations can be made in the present invention without departing from the basic technical concept of the invention as described above, according to the common technical knowledge and common practice in the field.
The present invention will be described in further detail with reference to the following examples. This should not be understood as limiting the scope of the above-described subject matter of the present invention to the following examples. All the technologies realized based on the above contents of the present invention belong to the scope of the present invention.
Drawings
FIG. 1 is a digital subtraction angiography in example 1;
FIG. 2 is a magnetic resonance cervical sagittal T2WI imaging of example 1;
FIG. 3 is magnetic resonance neck vessel imaging in example 1;
fig. 4 is a diagram of carotid pathological anatomy.
Detailed Description
It should be noted that, in the embodiment, the algorithm of the steps of data acquisition, transmission, storage, processing, etc. which are not specifically described, as well as the hardware structure, circuit connection, etc. which are not specifically described, can be implemented by the contents disclosed in the prior art.
Example 1 carotid lesion location method and System
The system of the embodiment comprises:
the first identification module is used for identifying the mutual position relationship A between the carotid artery lesion part and the cervical vertebra according to the input imaging image;
the second identification module is used for identifying the mutual position relation B of the cervical vertebra and the thoracic aortic arch according to the input iconography image;
and the calculating module is used for calculating the relative position of the carotid artery lesion part relative to the thoracic aortic arch according to the mutual position relation A and the mutual position relation B.
Taking a new zealand white rabbit animal model as an example, the method for positioning the carotid artery lesion position by adopting the system specifically comprises the following steps:
1. when an interventional operation is performed on an animal, the interrelation between an interventional modeling part (namely a carotid artery pathological change part) and the cervical vertebra is recorded through digital subtraction angiography imaging (as shown in figure 1);
2. when magnetic resonance imaging or computer tomography is carried out, the neck segment scanning range is determined through the cervical vertebra positioning phase (as shown in figure 2); scanning blood vessel imaging in the scanning range of the cervical segment and the thoracic aortic arch, and recording the relative distance between the cervical vertebra and the thoracic aortic arch (as shown in fig. 3);
3. according to the detection results of the two steps, the cervical vertebra is used as a reference, and the actual distance between the lesion part of the carotid artery and the thoracic aortic arch can be calculated;
4. when animal material is taken, the ranges of the carotid artery and thoracic aortic arch are fully exposed, the calculation results of the steps are combined, the thoracic aortic arch is used as a reference, the carotid artery pathological change part is positioned, the carotid artery pathological change part is marked in vivo by using printing ink, and the material is taken (as shown in figure 4).
It can be seen from the above embodiments that, by using the positioning method and system of the present invention, the carotid artery lesion site can be positioned by taking the feature position (such as thoracic aortic arch) which is conveniently exposed in the anatomical experiment as a reference, so as to guide the material taking of the pathological site in the anatomical experiment. The method has the advantages of good accuracy, independence on operator experience and good applicability, and has good application prospect.
Claims (8)
1. A carotid artery lesion location positioning method is characterized by comprising the following steps:
step 1, obtaining a mutual position relation A of a carotid artery pathological change part and a cervical vertebra by adopting an imaging method;
step 2, obtaining a mutual position relation B of the cervical vertebra and the thoracic aortic arch by adopting an imaging method;
and 3, calculating the relative position of the carotid artery lesion part relative to the thoracic aortic arch according to the mutual position relation A and the mutual position relation B obtained in the steps 1 and 2.
2. The positioning method according to claim 1, characterized in that: in the step 1, the mutual position relation A of the lesion part of the carotid artery and the cervical vertebra is obtained by adopting digital subtraction angiography imaging.
3. The positioning method according to claim 1, characterized in that: in step 2, obtaining the mutual position relation B of the cervical vertebra and the thoracic aortic arch by adopting magnetic resonance imaging or computed tomography.
4. A positioning method according to claim 3, characterized in that: in step 2, the neck scanning range of the magnetic resonance imaging or the computed tomography is determined according to the mutual position relation A, and the mutual position relation B is obtained according to the magnetic resonance imaging or the computed tomography.
5. A system for implementing the positioning method according to any one of claims 1 to 4, comprising:
the first identification module is used for identifying the mutual position relationship A between the carotid artery lesion part and the cervical vertebra according to the input imaging image;
the second identification module is used for identifying the mutual position relation B of the cervical vertebra and the thoracic aortic arch according to the input iconography image;
and the calculating module is used for calculating the relative position of the carotid artery lesion part relative to the thoracic aortic arch according to the mutual position relation A and the mutual position relation B.
6. The system of claim 5, wherein: the first identification module is used for identifying an image obtained by digital subtraction angiography imaging.
7. The system of claim 5, wherein: the second identification module is used for identifying images obtained by magnetic resonance imaging or computed tomography.
8. A computer-readable storage medium, characterized in that: on which a computer program for implementing the positioning method of any one of claims 1-4 or the system of any one of claims 5-7 is stored.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202211261836.8A CN115471558A (en) | 2022-10-14 | 2022-10-14 | Carotid artery lesion position positioning method and system |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202211261836.8A CN115471558A (en) | 2022-10-14 | 2022-10-14 | Carotid artery lesion position positioning method and system |
Publications (1)
Publication Number | Publication Date |
---|---|
CN115471558A true CN115471558A (en) | 2022-12-13 |
Family
ID=84337920
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN202211261836.8A Pending CN115471558A (en) | 2022-10-14 | 2022-10-14 | Carotid artery lesion position positioning method and system |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN115471558A (en) |
-
2022
- 2022-10-14 CN CN202211261836.8A patent/CN115471558A/en active Pending
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Alam et al. | Medical image registration in image guided surgery: Issues, challenges and research opportunities | |
JP4744883B2 (en) | Image alignment method and medical image data processing apparatus | |
US8630467B2 (en) | Diagnosis assisting system using three dimensional image data, computer readable recording medium having a related diagnosis assisting program recorded thereon, and related diagnosis assisting method | |
EP3025304B1 (en) | Registration system for registering an imaging device with a tracking device | |
US8045771B2 (en) | System and method for automated patient anatomy localization | |
JP5580030B2 (en) | Image processing apparatus and image alignment method | |
US20090097778A1 (en) | Enhanced system and method for volume based registration | |
JP2015186567A (en) | Medical image processing apparatus and medical image processing system | |
JP2011524772A (en) | Method and system for performing a biopsy | |
CN109152566B (en) | Correcting for probe-induced deformations in ultrasound fusion imaging systems | |
US10588702B2 (en) | System and methods for updating patient registration during surface trace acquisition | |
JP2018061837A (en) | Registration of magnetic tracking system with imaging device | |
EP2422318A1 (en) | Quantification of medical image data | |
US10916010B2 (en) | Learning data creation support apparatus, learning data creation support method, and learning data creation support program | |
US20100303330A1 (en) | Radiographic image display apparatus, and its method and computer program product | |
JP2007105352A (en) | Difference image display device, difference image display method, and program thereof | |
JP2019010411A (en) | Learning data generation support apparatus, method of operating learning data generation support apparatus, and learning data generation support program | |
EP3721412B1 (en) | Registration of static pre-procedural planning data to dynamic intra-procedural segmentation data | |
CN115471558A (en) | Carotid artery lesion position positioning method and system | |
CN114119688A (en) | Single-mode medical image registration method before and after coronary angiography based on deep learning | |
CN114930390A (en) | Method and apparatus for registering a medical image of a living subject with an anatomical model | |
EP3944190A1 (en) | Systems and methods for estimating the movement of a target using universal deformation models for anatomic tissue | |
CN113643226B (en) | Labeling method, labeling device, labeling equipment and labeling medium | |
CN114403911B (en) | Ulna proximal end parameter measuring method and device based on CT three-dimensional reconstruction image | |
JP2010220902A (en) | Device, method and program for determination of recognition result |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
PB01 | Publication | ||
PB01 | Publication | ||
SE01 | Entry into force of request for substantive examination | ||
SE01 | Entry into force of request for substantive examination |