CN115619750A - Method for calculating contrast projection angle in TAVR (percutaneous transluminal coronary angiography) operation by taking coronary sinus as reference - Google Patents
Method for calculating contrast projection angle in TAVR (percutaneous transluminal coronary angiography) operation by taking coronary sinus as reference Download PDFInfo
- Publication number
- CN115619750A CN115619750A CN202211329996.1A CN202211329996A CN115619750A CN 115619750 A CN115619750 A CN 115619750A CN 202211329996 A CN202211329996 A CN 202211329996A CN 115619750 A CN115619750 A CN 115619750A
- Authority
- CN
- China
- Prior art keywords
- plane
- sinus
- calculating
- projection
- angle
- 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.)
- Granted
Links
- 210000003748 coronary sinus Anatomy 0.000 title claims abstract description 41
- 238000000034 method Methods 0.000 title claims abstract description 33
- 238000002586 coronary angiography Methods 0.000 title claims description 4
- 239000013598 vector Substances 0.000 claims abstract description 27
- 210000001765 aortic valve Anatomy 0.000 claims abstract description 13
- 238000000605 extraction Methods 0.000 claims description 21
- 238000004364 calculation method Methods 0.000 claims description 7
- 238000002583 angiography Methods 0.000 claims description 3
- 238000003384 imaging method Methods 0.000 claims description 3
- 238000002601 radiography Methods 0.000 claims description 3
- 230000000694 effects Effects 0.000 abstract description 5
- 238000007887 coronary angioplasty Methods 0.000 abstract description 2
- 230000006870 function Effects 0.000 description 5
- 238000012545 processing Methods 0.000 description 5
- 238000010801 machine learning Methods 0.000 description 4
- 238000001356 surgical procedure Methods 0.000 description 3
- 210000000709 aorta Anatomy 0.000 description 2
- 238000002513 implantation Methods 0.000 description 2
- 230000003993 interaction Effects 0.000 description 2
- 238000013519 translation Methods 0.000 description 2
- 208000001778 Coronary Occlusion Diseases 0.000 description 1
- 206010011086 Coronary artery occlusion Diseases 0.000 description 1
- 206010067171 Regurgitation Diseases 0.000 description 1
- 210000004204 blood vessel Anatomy 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 210000003709 heart valve Anatomy 0.000 description 1
- 239000007943 implant Substances 0.000 description 1
- 238000013508 migration Methods 0.000 description 1
- 230000005012 migration Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 230000008569 process Effects 0.000 description 1
- 238000011160 research Methods 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
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/05—Detecting, measuring or recording for diagnosis by means of electric currents or magnetic fields; Measuring using microwaves or radio waves
- A61B5/055—Detecting, measuring or recording for diagnosis by means of electric currents or magnetic fields; Measuring using microwaves or radio waves involving electronic [EMR] or nuclear [NMR] magnetic resonance, e.g. magnetic resonance imaging
-
- 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
- A61B6/02—Arrangements for diagnosis sequentially in different planes; Stereoscopic radiation diagnosis
- A61B6/03—Computed tomography [CT]
- A61B6/032—Transmission computed tomography [CT]
-
- 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
-
- 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
- A61B6/52—Devices using data or image processing specially adapted for radiation diagnosis
- A61B6/5211—Devices using data or image processing specially adapted for radiation diagnosis involving processing of medical diagnostic data
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/60—Type of objects
- G06V20/64—Three-dimensional objects
-
- 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
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V2201/00—Indexing scheme relating to image or video recognition or understanding
- G06V2201/03—Recognition of patterns in medical or anatomical images
Landscapes
- Health & Medical Sciences (AREA)
- Engineering & Computer Science (AREA)
- Life Sciences & Earth Sciences (AREA)
- Medical Informatics (AREA)
- Physics & Mathematics (AREA)
- Nuclear Medicine, Radiotherapy & Molecular Imaging (AREA)
- General Health & Medical Sciences (AREA)
- Radiology & Medical Imaging (AREA)
- Public Health (AREA)
- Surgery (AREA)
- Veterinary Medicine (AREA)
- Animal Behavior & Ethology (AREA)
- High Energy & Nuclear Physics (AREA)
- Molecular Biology (AREA)
- Biophysics (AREA)
- Pathology (AREA)
- Biomedical Technology (AREA)
- Heart & Thoracic Surgery (AREA)
- Theoretical Computer Science (AREA)
- Optics & Photonics (AREA)
- Computer Vision & Pattern Recognition (AREA)
- General Physics & Mathematics (AREA)
- Multimedia (AREA)
- Quality & Reliability (AREA)
- Pulmonology (AREA)
- Vascular Medicine (AREA)
- Dentistry (AREA)
- Oral & Maxillofacial Surgery (AREA)
- Apparatus For Radiation Diagnosis (AREA)
Abstract
The invention discloses a method for calculating a contrast projection angle in a TAVR (percutaneous transluminal coronary angioplasty) operation by taking a non-coronary sinus as a reference, which comprises the following steps of: acquiring three-dimensional medical image data of an aortic valve; extracting aortic root annulus plane: extracting three sinus floor coordinates of the aortic root; extracting a tile-shaped sinus region plane parallel to the valve annulus plane, wherein the connection points among the sinus regions can be clearly seen on the tile-shaped sinus region plane; identifying an avascular sinus within the sinus zone plane; identifying left and right connection points of the non-coronary sinus; acquiring a projection vector, wherein the projection vector is a vector in the direction of a connecting line of a left side connecting point and a right side connecting point of the non-coronary sinus; automatically calculating left/right front based on the projection vectorAngle of inclinationAnd a head/foot angle theta. The method can effectively reduce the operation difficulty of a doctor, shorten the operation time, improve the accuracy of the projection angle and improve the contrast effect, thereby helping the doctor to better perform transcatheter aortic valve replacement.
Description
Technical Field
The invention belongs to the technical field of medical image processing, and relates to a method for calculating a contrast projection angle in a TAVR (percutaneous transluminal coronary angiography) operation by taking a coronary sinus as a reference.
Background
Transcatheter Aortic Valve Replacement (TAVR) is a minimally invasive Valve Replacement, and is used for conveying a prosthetic heart Valve to the position of an Aortic Valve through an interventional catheter technology, so that implantation of the prosthetic Valve is completed, and the function of the Valve is recovered.
In transcatheter aortic valve replacement procedures, a physician uses a catheter to deliver a prosthetic valve through a blood vessel to the site of a diseased valve. Accurate release of the prosthetic valve in place has a significant effect on the outcome of the procedure, and poor release may lead to complications such as valve migration, paravalvular leakage, valve regurgitation and coronary occlusion. Thus, in transcatheter aortic valve replacement, it must be ensured that the valve is released in the proper position and depth.
In order to implant the valve at the proper location and depth, positioning by angiography is required during the procedure. For accurate positioning, it is crucial that the imaging apparatus adopts a proper projection angle. Currently, there are two commonly used projection positions in TAVR surgery: right coronary sinus medialization and left and right coronary sinus Overlap (Cusp overlay). The right coronary sinus centering method projects the coronary sinus to the center of the left coronary sinus and the center of the non-coronary sinus from the coronary sinus, the three sinus bottoms are in a straight line, and under the projected body position, the three sinus bottoms and the surrounding structure are clear, but because the conveying system and the valve ring plane are not parallel under the body position, the implantation depth of the valve is difficult to accurately control. The left and right coronary sinus overlapping method means that the right coronary Dou Doude and the left coronary Dou Doude are overlapped, the valve ring is parallel to the conveying system in the body position, and the positioning can be accurately released, but the method depends on the accurate positioning of the left and right crowns Dou Doude, the prediction result is influenced when the sinus floor is seriously calcified, the left and right crowns Dou Chang are different in size, different analysts judge whether the overlapping exists a deviation, and therefore the prediction angle also has a deviation.
Considering that the two methods for determining the projection angle commonly used in the TAVR operation have certain limitations. Researches show that the angle of the projection intersection point of the tangent line of two non-coronary sinus coaptation edges (namely the non-coronary sinus coaptation edge and the left coronary sinus coaptation edge) and the valve ring plane can obtain double parallel angles of the plane of the conveying system and the valve ring plane of the self-body in most cases, so a new optimal release projection angle prediction method is proposed by scholars: and (3) a calculation method taking the non-coronary sinus as a reference.
Currently, in the usual case, the positioning of the valve requires the determination of the projection angle of the contrast device by the interventionalist by means of 3D medical image software through complex manual interaction. This requires both a high degree of experience for the software operation by the physician and considerable time for the physician. At the same time, manual interaction is difficult to guarantee and accurate, which also results in the fact that the projection angle of the imaging device may need to be adjusted several times. Therefore, a method capable of automatically calculating the projection angle is needed, and a doctor only needs to directly set parameters in the radiography equipment according to the calculated angle, so that the operation time in the operation is greatly reduced, the precision of the projection angle can be ensured, and the radiography effect is ensured.
Disclosure of Invention
The invention aims to provide a method for calculating a contrast projection angle in a TAVR (percutaneous transluminal coronary angioplasty) operation by taking a coronary sinus as a reference, aiming at the defects in the prior art, and comprising the following steps:
step 1: acquiring three-dimensional medical image data of an aortic valve;
and 2, step: extracting the aortic root annulus plane: extracting three sinobasal coordinates of the aortic root, which are respectively P1 (x,y,z) 、P2 (x,y,z) And P3 (x,y,z) Forming an annulus plane based on the three sinus soles, and obtaining an annulus plane normal vector annulus normal by a calculation or manual extraction method (x,y,z) ;
And 3, step 3: along the vector annulus normal (x,y,z) The method comprises the following steps of (1) extracting a tile-shaped sinus region plane parallel to an annulus plane, wherein a connection point between sinus regions can be clearly seen on the tile-shaped sinus region plane;
and 4, step 4: identifying a non-coronary sinus in the plane of the tiled sinus region in step 3;
and 5: identifying the left connecting point and the right connecting point of the coronary sinus in the step 4 respectively, and expressing the coordinates of the connecting points as follows: left side connection point coordinates LHinge (x,y,z) And right connection point coordinates RHinge (x,y,z) ;
Step 6, obtaining a projection vector, wherein the projection vector is a connecting direction vector ProDirection of a left side connecting point and a right side connecting point of the non-coronary sinus (x,y,z) ;
And 7: automatically calculating left/right front oblique angles based on the projection vectors acquired in step 6And a head/foot position angle theta.
Further, the three-dimensional medical image data is medical image data containing information of the aortic valve of the human body.
Further, the extraction of the aortic root annular plane in step 2 may be obtained by an automatic extraction algorithm, or by manual extraction, and the normal vector calculation method of the annular plane is as follows: setting a plane equation as Ax + By + Cz + D =0, then respectively substituting the three sinofloor coordinates into the equation to obtain parameters A, B, C and D, and obtaining a plane normal vector ann nulus normal (x,y,z) Is (A, B, C).
Furthermore, the plane of the tiled sinus region parallel to the plane of the valve annulus in step 3 can be identified by an automatic identification algorithm, and also can be identified by a manual positioning mode,
further, the non-coronary sinus in the identification plane in the step 4 can be identified by an automatic identification algorithm, and can also be identified by a manual positioning mode.
Further, the left side connection point and the right side connection point of the non-coronary sinus in the plane extracted in the step 5 can be identified through an automatic identification algorithm.
Further, the projection vector ProDirection in the step 6 (x,y,z) The calculation method comprises the following steps:
ProDirection=RHinge-LHinge
ProDirection x =RHinge z -LHinge z
ProDirection y =RHinge y -LHinge y
ProDirection z =RHinge z -LHinge z
further, in the step 7, the left/right front lean angle is calculatedAnd the head/foot position angle θ is:
When in useWhen it is inclined to the right, whenWhen the utility model is used, the left front is inclined,
b. calculating a head/foot position angle θ of the proposed projection angle:
θ=arctan2(ProDirection z ,ProDirection y )
when θ >0, it is the head bit, and when θ <0, it is the foot bit.
The invention has the technical effects that:
by applying the technical scheme of the invention, the operation difficulty of a doctor can be effectively reduced, the operation time is shortened, the accuracy of a projection angle can be improved, and the contrast effect is improved, so that the doctor is helped to better perform transcatheter aortic valve replacement.
Drawings
FIG. 1 is a schematic flow chart of the calculation method of the contrast projection angle in TAVR surgery based on coronary sinus absence according to the present invention;
FIG. 2 is a schematic representation of the three sinus floor locations of the aortic root at step 2 of the method of the present invention;
FIG. 3 is a schematic view of the plane of the tile sinus region parallel to the annulus plane, and the corresponding non-coronary sinus region and the left and right side junction points of the non-coronary sinus in steps 3, 4 and 5 of the method of the present invention;
fig. 4 is a schematic view of the projection direction in step 6 of the method of the present invention.
Detailed Description
The invention will be further illustrated with reference to the following specific examples. It should be understood that the examples are only for illustrating the present invention and are not intended to limit the scope of the present invention. In addition, it should be understood that various changes or modifications can be made by those skilled in the art after reading the disclosure of the present invention, and such equivalents also fall within the scope of the invention.
As shown in fig. 1, the method for calculating the contrast projection angle in TAVR surgery based on the coronary sinus of the present invention includes the following 7 steps:
step 1: three-dimensional medical image data of an aortic valve is acquired. In particular, the three-dimensional medical image data should contain information about the aortic valve of the body, and may be of any medical image data type, such as a CT/MRI/US modality.
Step 2: extracting three sino-fundus coordinates of the aortic root, which are respectively P1 (x,y,z) 、P2 (x,y,z) And P3 (x,y,z) Forming an annular plane based on the three sinus floors to obtain an annular plane normal vector (x,y,z) . Specifically, the above three aorta roots are extractedThe sinus floor coordinates can be obtained by an automatic extraction algorithm or manually. The automatic extraction algorithm can be a machine learning method and can also be a traditional image processing algorithm; the manual extraction method can select three sinus floor coordinates by a three-dimensional image browsing tool and by using a multi-planar reconstruction (MPR) function.
And step 3: along the vector annulus normal (x,y,z) In the orientation, the plane of the tegular sinus region is taken parallel to the plane of the annulus where the junction between the individual sinus regions is clearly visible. Specifically, the extraction of the plane of the tegular sinus region parallel to the plane of the annulus may be obtained by an automatic extraction algorithm or may be performed by manually selecting the location. The automatic extraction algorithm can be a machine learning method or a traditional image processing algorithm, for example, after the annulus plane is determined, translation is carried out along the normal vector of the annulus plane towards the ascending aorta direction, the sinus structure characteristics are obtained through polar coordinate expansion in the translation process, and one layer which can clearly see each sinus connection point is selected. The manual extraction method can be realized by a three-dimensional image browsing tool, utilizing a multi-planar reconstruction (MPR) function, after the annulus plane is determined, selecting a parallel moving layer and selecting a layer on which each sinus connection point can be clearly seen.
And 4, step 4: identifying a plane of the tiled sinus region in step 3 without a coronary sinus; specifically, the above-mentioned coronary sinus can be obtained by an automatic extraction algorithm or manually. The automatic extraction algorithm may be a machine learning method, or may be based on sinus and coronary structures using traditional image processing algorithms; the manual extraction method may determine the coronary sinus by using a multi-planar reconstruction (MPR) function through a three-dimensional image browsing tool.
And 5: identifying the left side connection point and the right side connection point of the non-coronary sinus in the step 4, and expressing the coordinates of the connection points as follows: left side connection point coordinates LHinge (x,y,z) And right connection point coordinates RHinge (x,y,z) And obtaining the connecting line direction vector LRHingeDirection of the left and right connecting points (x,y,z) Specifically, the left and right connection points without coronary sinus in the above identification step 4 can be obtained by an automatic extraction algorithm or manually. The automatic extraction algorithm may beThe machine learning method can also be a traditional image processing algorithm, for example, through polar coordinate expansion, extreme points are searched near the area without the coronary sinus, and then left and right side connection points can be found; the manual extraction method can determine the left and right connection points of the coronary sinus by using a multi-planar reconstruction (MPR) function through a three-dimensional image browsing tool.
Step 6, obtaining a projection vector, namely a ProDirection vector of a connecting line of the left and right connecting points of the non-coronary sinus (x,y,z) 。
Specifically, the ProDirection acquisition (x,y,z) Solving by the following method:
ProDirection=RHinge-LHinge
ProDirection x =RHinge z -LHinge z
ProDirection y =RHinge y -LHinge y
ProDirection z =RHinge z -LHinge z
and 7: based on the projection vector obtained in step 6, the left/right front oblique angle is automatically calculatedAnd a head/foot position angle θ; specifically, the solving method comprises the following steps:
When in useWhen it is inclined to the right, whenWhen the utility model is used, the left front is inclined,
b. calculating a head/foot angle θ of the proposed projection angle:
θ=arctan2(ProDirection z ,ProDirection y )
when θ >0, it is the head bit, and when θ <0, it is the foot bit.
Claims (8)
1. A method for calculating an imaging projection angle in TAVR (percutaneous transluminal coronary angiography) operation by taking an arteria coronaria as a reference comprises the following steps:
step 1: acquiring three-dimensional medical image data of an aortic valve;
step 2: extracting aortic root annulus plane: extracting three sinobasal coordinates of the aortic root, which are respectively P1 (x,y,z) 、P2 (x,y,z) And P3 (x,y,z) Forming an annular plane based on the three sinus floors, and obtaining an annular plane normal vector by a calculation or manual extraction method (x,y,z) ;
And step 3: along the vector annulus normal (x,y,z) The direction is that a tile-shaped sinus region plane parallel to the valve annulus plane is extracted, and the connection points between the sinus regions can be clearly seen on the tile-shaped sinus region plane;
and 4, step 4: identifying a non-coronary sinus in the plane of the tiled sinus region in step 3;
and 5: identifying the left connecting point and the right connecting point of the coronary sinus in the step 4 respectively, and expressing the coordinates of the connecting points as follows: left side connection point coordinates LHinge (x,y,z) And right connection point coordinates RHinge (x,y,z) ;
Step 6: obtaining a projection vector which is a vector ProDirection in the direction of the connecting line of the left side connecting point and the right side connecting point of the non-coronary sinus (x,y,z) ;
2. The method of claim 1The method for calculating the contrast projection angle is characterized in that the extraction of the aortic root annulus plane in the step 2 can be obtained by an automatic extraction algorithm or by manual extraction, and the normal vector calculation method of the aortic root annulus plane comprises the following steps: setting a plane equation as Ax + By + Cz + D =0, then respectively substituting the three sinofloor coordinates into the equation to obtain parameters A, B, C and D, and thus obtaining a plane normal vector ann nulus normal (x,y,z) Is (A, B, C).
3. The method for calculating the projection angle of the radiography according to claim 2, wherein the projection vector ProDirection in the step 6 (x,y,z) The calculating method comprises the following steps:
ProDirection=RHinge-LHinge
ProDirection x =RHinge z -LHinge z
ProDirection y =RHinge y -LHinge y
ProDirection z =RHinge z -LHinge z 。
4. the method for calculating an angle of projection of an angiogram according to claim 3, wherein in step 7, the left/right oblique angle is calculatedAnd the head/foot position angle θ is:
When the temperature is higher than the set temperatureWhen it is right frontOblique whenWhen the utility model is used, the left front is inclined,
b. calculating a head/foot position angle θ of the proposed projection angle:
θ=arctan2(ProDirection z ,ProDirection y )
when theta is greater than 0, it is the head position, and when theta is less than 0, it is the foot position.
5. The method of calculating an angle of contrast projection according to any one of claims 1 to 4, wherein the three-dimensional medical image data is medical image data containing information on an aortic valve of a human body.
6. The method for calculating an angle of contrast projection according to any one of claims 1 to 5, wherein the plane of the sinus region parallel to the plane of the annulus in step 3 can be identified by an automatic identification algorithm or by manual positioning.
7. The method for calculating an angiography projection angle according to any one of claims 1 to 6, wherein the identification plane of step 4 is identified as the non-coronary sinus by an automatic identification algorithm or by manual positioning.
8. The method for calculating an angiography projection angle according to any one of claims 1 to 7, wherein the left and right connection points of the non-coronary sinus in the plane extracted in step 5 are identified by an automatic identification algorithm.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202211329996.1A CN115619750B (en) | 2022-10-27 | 2022-10-27 | Calculation method of contrast projection angle in TAVR (total automated video computing) operation based on coronary sinus |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202211329996.1A CN115619750B (en) | 2022-10-27 | 2022-10-27 | Calculation method of contrast projection angle in TAVR (total automated video computing) operation based on coronary sinus |
Publications (2)
Publication Number | Publication Date |
---|---|
CN115619750A true CN115619750A (en) | 2023-01-17 |
CN115619750B CN115619750B (en) | 2023-09-22 |
Family
ID=84875902
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN202211329996.1A Active CN115619750B (en) | 2022-10-27 | 2022-10-27 | Calculation method of contrast projection angle in TAVR (total automated video computing) operation based on coronary sinus |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN115619750B (en) |
Citations (11)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20120323545A1 (en) * | 2011-06-17 | 2012-12-20 | Siemens Aktiengesellschaft | Device for planning a transcatheter aortic valve implantation |
JP2014083357A (en) * | 2012-10-26 | 2014-05-12 | Toshiba Corp | Medical image processor, x-ray diagnostic device and medical image processing program |
US20160034040A1 (en) * | 2014-07-29 | 2016-02-04 | Sony Computer Entertainment Inc. | Information processing device, information processing method, and computer program |
CN105877767A (en) * | 2016-03-31 | 2016-08-24 | 北京思创贯宇科技开发有限公司 | Coronary artery image angiography method and device |
WO2019000479A1 (en) * | 2017-06-30 | 2019-01-03 | 深圳大学 | Method, device, apparatus and storage medium for three-dimensional reconstruction of coronary vessel |
CN111513739A (en) * | 2020-04-10 | 2020-08-11 | 北京东软医疗设备有限公司 | Control method and device for angiography machine, electronic device and storage medium |
CN112674872A (en) * | 2020-12-22 | 2021-04-20 | 中国人民解放军陆军军医大学 | Aorta complex anatomical feature measuring method |
CN113749766A (en) * | 2021-08-31 | 2021-12-07 | 拓微摹心数据科技(南京)有限公司 | Method for calculating contrast suggested projection angle in transcatheter aortic valve replacement |
CN113782202A (en) * | 2021-08-31 | 2021-12-10 | 拓微摹心数据科技(南京)有限公司 | Transverse heart risk assessment method based on virtual annulus plane included angle of aortic valve root |
CN115170743A (en) * | 2022-07-27 | 2022-10-11 | 苏州沛心科技有限公司 | DSA searchlighting angle planning method and system |
CN115205277A (en) * | 2022-07-27 | 2022-10-18 | 苏州沛心科技有限公司 | Aortic valve transfemoral artery interventional evaluation method and system |
-
2022
- 2022-10-27 CN CN202211329996.1A patent/CN115619750B/en active Active
Patent Citations (11)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20120323545A1 (en) * | 2011-06-17 | 2012-12-20 | Siemens Aktiengesellschaft | Device for planning a transcatheter aortic valve implantation |
JP2014083357A (en) * | 2012-10-26 | 2014-05-12 | Toshiba Corp | Medical image processor, x-ray diagnostic device and medical image processing program |
US20160034040A1 (en) * | 2014-07-29 | 2016-02-04 | Sony Computer Entertainment Inc. | Information processing device, information processing method, and computer program |
CN105877767A (en) * | 2016-03-31 | 2016-08-24 | 北京思创贯宇科技开发有限公司 | Coronary artery image angiography method and device |
WO2019000479A1 (en) * | 2017-06-30 | 2019-01-03 | 深圳大学 | Method, device, apparatus and storage medium for three-dimensional reconstruction of coronary vessel |
CN111513739A (en) * | 2020-04-10 | 2020-08-11 | 北京东软医疗设备有限公司 | Control method and device for angiography machine, electronic device and storage medium |
CN112674872A (en) * | 2020-12-22 | 2021-04-20 | 中国人民解放军陆军军医大学 | Aorta complex anatomical feature measuring method |
CN113749766A (en) * | 2021-08-31 | 2021-12-07 | 拓微摹心数据科技(南京)有限公司 | Method for calculating contrast suggested projection angle in transcatheter aortic valve replacement |
CN113782202A (en) * | 2021-08-31 | 2021-12-10 | 拓微摹心数据科技(南京)有限公司 | Transverse heart risk assessment method based on virtual annulus plane included angle of aortic valve root |
CN115170743A (en) * | 2022-07-27 | 2022-10-11 | 苏州沛心科技有限公司 | DSA searchlighting angle planning method and system |
CN115205277A (en) * | 2022-07-27 | 2022-10-18 | 苏州沛心科技有限公司 | Aortic valve transfemoral artery interventional evaluation method and system |
Non-Patent Citations (3)
Title |
---|
GALLI V等: ""Towards Patient-Specific Prediction of Conduction Abnormalities Induced by Transcatheter Aortic Valve Implantation: a Combined Mechanistic Modelling and Machine Learning Approach"", 《EUROPEAN HEART JOURNAL DIGITAL HEALTH》 * |
王东辉: ""CT影像指导下改良的房间隔穿刺术—房间隔穿刺定位的新方法"", 《万方数据库》 * |
王墨扬: ""先天性二叶式主动脉瓣狭窄患者行经导管主动脉瓣置换术术前影像学评估与术中策略改进的探索性研究"", 《博士电子期刊》, vol. 2022, no. 04 * |
Also Published As
Publication number | Publication date |
---|---|
CN115619750B (en) | 2023-09-22 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
US20110222750A1 (en) | System and method for guiding transcatheter aortic valve implantations based on interventional c-arm ct imaging | |
CN102824230B (en) | Device for planning transcatheter aortic valve implantation | |
WO2019195699A1 (en) | Image-based navigation system and method of using same | |
US9886756B2 (en) | Method, a graphic user interface, a system and a computer program for optimizing workflow of a medical intervention | |
Zheng et al. | Automatic aorta segmentation and valve landmark detection in C-arm CT for transcatheter aortic valve implantation | |
US8903145B2 (en) | Method and apparatus for image processing for computer-aided eye surgery | |
US9715637B2 (en) | Method and system for automatic aorta segmentation | |
Wächter et al. | Patient specific models for planning and guidance of minimally invasive aortic valve implantation | |
JP7019694B2 (en) | Selection of medical equipment for use in medical procedures | |
John et al. | System to guide transcatheter aortic valve implantations based on interventional C-arm CT imaging | |
US20110052026A1 (en) | Method and Apparatus for Determining Angulation of C-Arm Image Acquisition System for Aortic Valve Implantation | |
US8177835B2 (en) | Method of imaging for heart valve implant procedure | |
CN113749766B (en) | Method for calculating contrast suggested projection angle in transcatheter aortic valve replacement | |
WO2022098912A1 (en) | System and method for annotation of anatomical tree structures in 3d images | |
CN115619750A (en) | Method for calculating contrast projection angle in TAVR (percutaneous transluminal coronary angiography) operation by taking coronary sinus as reference | |
CN106780720B (en) | Medical image display method and device | |
CN113782202B (en) | Transverse heart risk assessment method for virtual annulus plane included angle based on aortic valve root | |
WO2014126955A1 (en) | Method and apparatus for image fusion based planning of c-arm angulation for structural heart disease | |
Gessat et al. | A planning system for transapical aortic valve implantation | |
Karlas et al. | Towards an IVUS-driven system for endovascular navigation | |
CN115249236B (en) | Automatic calculation method for aortic valve leaflet length | |
US20240138929A1 (en) | Intravascular Device Positioning System | |
Smith et al. | Multimodality imaging in transcatheter aortic valve replacement | |
Karar | Perspectives on Image-Guided Transapical Beating Heart Aortic Valve Intervention | |
Tsujimoto et al. | Virtual Reality Computed Tomography Evaluation―Anatomy and Clinical Implications for Valve-Sparing Aortic Root Replacement― |
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 | ||
TA01 | Transfer of patent application right |
Effective date of registration: 20230614 Address after: Room 1707-1711, convention and Exhibition Center, No. 9, Yaogu Avenue, Jiangbei new area, Nanjing, Jiangsu 210012 Applicant after: Tuowei moxin data technology (Nanjing) Co.,Ltd. Address before: 0289, Floor 2, No. 21, Tiantong Zhongyuan Second District, Dongxiaokou Town, Changping District, Beijing, 100085 Applicant before: Tuowei Moxin Data Technology (Beijing) Co.,Ltd. |
|
TA01 | Transfer of patent application right | ||
GR01 | Patent grant | ||
GR01 | Patent grant |