Abstract: Methods registering an extravascular image with an intravascular image include obtaining a first feature information of a blood vessel segment in the intravascular image and obtaining a second feature information of a reference blood vessel in the extravascular image, where the reference blood vessel is an entire blood vessel in which the blood vessel segment is located. The methods also include performing a primary registration on the first and second feature information to obtain a third feature information that includes external contour and external branch information of a target blood vessel segment in the extravascular image, corresponding to the blood vessel segment. A secondary registration is performed on the first and third feature information to obtain a target registration result. The method can implement fast and accurate registration of the external image and the intravascular image. The methods enable a corresponding apparatus computing device, and storage medium.

Abstract: A training method and apparatus for angiography image processing and a method and apparatus for automatically processing a vessel image. The training method includes obtaining training data that includes original angiography image data and local segmentation result data of a side branch vessel. The local segmentation result data of the side branch vessel are local segmentation image data of the side branch vessel on a main branch vessel determined from an original angiography image. A neural network is trained according to the obtained training data to make the neural network perform local segmentation on the side branch vessel on the determined main branch vessel in the original angiography image. The training method can obtain the neural network for performing local segmentation on the side branch vessel, thereby realizing improvement of segmentation accuracy while improving segmentation efficiency, and avoiding missing segmentation and wrong segmentation of the side branch vessel.

Abstract: A method and apparatus for calculating the blood flow rate in a coronary artery, an electronic device and a storage medium. The method for calculating the blood flow rate in a coronary artery comprises the following steps: S1, acquiring an angiography image of the coronary artery, segmenting the angiography image of the coronary artery by using deep learning, and obtaining segmented images of a main vessel (S1); S2, calculating the length of the main vessel in each segmented image frame on the basis of the segmented images of the main vessel (S2); and S3, obtaining the blood flow rate in the main vessel on the basis of the calculated change of the lengths of the main vessel with time (S3). By using the method and apparatus for calculating the blood flow rate in a coronary artery and the electronic device, the automation of the calculation of the blood flow rate in a coronary artery is achieved, the calculated blood flow rate in the coronary artery is more accurate, and the calculation method is simple.

Abstract: The present invention relates to a blood vessel image processing method, a blood vessel image processing apparatus, a computer storage medium, and an imaging device. The method includes: obtaining blood vessel geometric structure information of a blood vessel segment of interest; obtaining vital feature information of the blood vessel segment; establishing an association relationship between the blood vessel geometric structure information and the vital feature information; and displaying the blood vessel geometric structure information and the vital feature information in the same image in a mutual fusion manner by using the association relationship as a reference. In this way, work efficiency of users can be improved by the solution.

Abstract: A blood vessel cross-section function, a blood vessel pressure difference, and blood vessel stress may be established. A method for establishing a blood vessel cross-section function may include: obtaining image data in at least one cardiac cycle; selecting multiple feature times during the one cardiac cycle; generating spatial models of a target region blood vessel corresponding to each of the feature times according to the image data; establishing a first cross-section model of the target region blood vessel at each position along an axial direction of the target region blood vessel according to each of the spatial models; and establishing a corresponding first cross-section function according to each first cross-section model. Actual conditions of blood vessels may be reflected more accurately, and may provide an intermediate variable with less error for subsequent analysis operations, so that the later calculated value is closer to the actual value.

Abstract: A method for acquiring a blood flow volume and a blood flow velocity of a coronary artery is provided. The method comprises: acquiring image information of a coronary artery to obtain geometrical feature data of the coronary artery; obtaining, according to the geometrical feature data of the coronary artery, the total volume V of a reference lumen of the coronary artery; and calculating a blood flow volume Q at coronary artery ostia according to the following formula: Q = K * V 3 4 , wherein when the unit of Q is mm3/s, and when the unit of V is mm3, a value range of K is 5-9.5. A blood flow volume and a blood flow velocity of a coronary artery are obtained by means of image information of the coronary artery. Compared with a method, in the prior art, for estimating a blood flow volume of a coronary artery by means of the size of a cardiac muscle, this method is simpler, and can provide a more accurate boundary condition for image-based hemodynamic calculation.

Abstract: A method, apparatus and device for correcting a vascular pressure difference are disclosed. An intracavity imaging technology is used to acquire images in a main branch blood vessel. A plurality of blood vessel cross sections are obtained using the images, and an area of a cutting plane of a side branch blood vessel is directly calculated by using the blood vessel cross sections. The blood vessel difference is then corrected by using the cutting area.

Abstract: A method for acquiring a blood flow volume and a blood flow velocity of a coronary artery is provided. The method comprises: acquiring image information of a coronary artery to obtain geometrical feature data of the coronary artery; obtaining, according to the geometrical feature data of the coronary artery, the total volume V of a reference lumen of the coronary artery; and calculating a blood flow volume Q at coronary artery ostia according to the following formula: Q = K * V 3 4 , wherein when the unit of Q is mm3/s, and when the unit of V is mm3, a value range of K is 5-9.5. A blood flow volume and a blood flow velocity of a coronary artery are obtained by means of image information of the coronary artery. Compared with a method, in the prior art, for estimating a blood flow volume of a coronary artery by means of the size of a cardiac muscle, this method is simpler, and can provide a more accurate boundary condition for image-based hemodynamic calculation.

Abstract: A blood vessel cross-section function, a blood vessel pressure difference, and blood vessel stress may be established. A method for establishing a blood vessel cross-section function may include: obtaining image data in at least one cardiac cycle; selecting multiple feature times during the one cardiac cycle; generating spatial models of a target region blood vessel corresponding to each of the feature times according to the image data; establishing a first cross-section model of the target region blood vessel at each position along an axial direction of the target region blood vessel according to each of the spatial models; and establishing a corresponding first cross-section function according to each first cross-section model. Actual conditions of blood vessels may be reflected more accurately, and may provide an intermediate variable with less error for subsequent analysis operations, so that the later calculated value is closer to the actual value.

Abstract: A blood vessel pressure difference correction method includes: obtaining a plurality of blood vessel cross sections between a first end point and a second end point along a main axis of a first blood vessel by taking a proximal demarcation point of the first blood vessel and a second blood vessel as the second end point, and taking a carina as the first end point; forming contour lines by the blood vessel cross sections on a first blood vessel wall and a second blood vessel wall; enclosing, by the contour lines formed by the blood vessel cross sections on the first blood vessel wall, a plurality of first blood convex surfaces; enclosing, by the contour lines formed by the blood vessel cross sections on the second blood vessel wall, a plurality of second blood vessel convex surfaces; intersecting, by the first blood convex surfaces and the second blood vessel convex surfaces, to form a plurality of intersection lines; fitting the plurality of intersection lines into an intersection plane; calculating an area o

Abstract: The present invention relates to a blood vessel image processing method, a blood vessel image processing apparatus, a computer storage medium, and an imaging device. The method includes: obtaining blood vessel geometric structure information of a blood vessel segment of interest; obtaining vital feature information of the blood vessel segment; establishing an association relationship between the blood vessel geometric structure information and the vital feature information; and displaying the blood vessel geometric structure information and the vital feature information in the same image in a mutual fusion manner by using the association relationship as a reference. In this way, work efficiency of users can be improved by the solution.

Abstract: A system and method for retrieving a blood vessel corresponding positional relation under multi-angle angiography. The system includes an angiography machine, an angiographic image receiving module, a center point calibration module, a corresponding feature point detection module, and a feature point corresponding blood vessel module. The angiography machine is used for performing angiography and collecting angiographic images of multiple projection body positions. The angiographic image receiving module is used for receiving an angiographic image and transmitting the angiographic image to the center point calibration module. The center point calibration module is used for calibrating a center point offset caused by the multi-angle angiography system and transmitting the result to the feature point detection module.

Abstract: A method for obtaining vascular pressure difference includes: receiving anatomical data of a part of a blood vessel segment, obtaining a geometric model of a target blood vessel according to the anatomical data; combining individual data according to the anatomical data to obtain a blood flow model of the target blood vessel and the target blood vessel blood flow velocity V; preprocess the geometric model to establish a cross-sectional morphology model, calculate the morphological difference function f(x) of the target vessel lumen, calculate the pressure difference at any two positions of the target vessel based on morphology ?P the difference of the target vessel lumen the relationship between function f(x) and blood flow velocity V. The method of obtaining the vascular pressure difference, by introducing the concept of morphology, the influence of the vascular morphology on the vascular pressure difference is clarified, improve the calculation accuracy of vascular pressure difference.

Abstract: A method for computing fractional flow reserve (FFR), including receiving geometrical parameters of a blood vessel segment including a proximal end and a distal end, the geometrical parameters including a first geometrical parameter, a second geometrical parameter and a third geometrical parameter; and with the proximal end as a reference point, deriving a reference lumen diameter function and a geometrical parameter difference function based on the geometrical parameters and the distance from the position along the segment of blood vessel to the reference point. Derivatives of the geometrical parameter difference function are calculated in multiple scales. FFR is computed as a ratio of a second blood flow pressure at the first location of the blood vessel to a first blood flow pressure at the proximal end of the segment based on the multiple scales of derivative difference functions and the maximum mean blood flow velocity.

Abstract: The present invention provides a rapid calculation method and system for a plaque stability index based on a medical image sequence. The system includes an image acquisition module, an image receiving module, an image processing module, a finite element calculation module and a result visualization module. The image acquisition module and the image receiving module are configured to acquire, receive and transmit a dynamic two-dimensional vascular image sequence; the image processing module is configured to acquire a space-transformational displacement field function by taking a local feature or a global image as a registration based on dynamic information of real-time deformation of an artery under a two-dimensional image; and the finite element calculation module is configured to acquire a time-dependent vascular lumen diameter sequence and a contour deformation parameter as well as a mechanical index by calculation performed by virtue of the above-mentioned displacement field function.

Abstract: A system and method for retrieving a blood vessel corresponding positional relation under multi-angle angiography. The system includes an angiography machine, an angiographic image receiving module, a center point calibration module, a corresponding feature point detection module, and a feature point corresponding blood vessel module. The angiography machine is used for performing angiography and collecting angiographic images of multiple projection body positions. The angiographic image receiving module is used for receiving an angiographic image and transmitting the angiographic image to the center point calibration module. The center point calibration module is used for calibrating a center point offset caused by the multi-angle angiography system and transmitting the result to the feature point detection module.

Abstract: The present invention provides a rapid calculation method and system for a plaque stability index based on a medical image sequence. The system includes an image acquisition module, an image receiving module, an image processing module, a finite element calculation module and a result visualization module. The image acquisition module and the image receiving module are configured to acquire, receive and transmit a dynamic two-dimensional vascular image sequence; the image processing module is configured to acquire a space-transformational displacement field function by taking a local feature or a global image as a registration based on dynamic information of real-time deformation of an artery under a two-dimensional image; and the finite element calculation module is configured to acquire a time-dependent vascular lumen diameter sequence and a contour deformation parameter as well as a mechanical index by calculation performed by virtue of the above-mentioned displacement field function.

Abstract: The invention relates to method and apparatus for reconstructing a three-dimensional representation of a target volume inside an animal or human body. Hereto, according to the method step ii) is preceded by the steps of: a1) displaying said first two-dimensional image projection being obtained in step i) for a user using said displaying means, a2) acquiring a first operational orientation setting of said imaging means corresponding with said first imaging position; a3) defining based on said first operational orientation setting a first set of second operational orientation settings of said imaging means for orientation in a second imaging position; a4) selecting from said set one of said second operational orientation settings; a5) using said second operational orientation setting being selected for acquiring said second two-dimensional image projection of said target volume using said imaging means being positioned in the second imaging position corresponding to said second operational orientation setting.