Pulse Medical Imaging Technology (shanghai) Co., Ltd

Shanghai Pulse Medical Technology, Inc.

Other

Shanghai Jiaotong University

Shengxian Tu

Jiayue Huang

Su Zhang

Bing Liu

Wei Jia Yu

Xiaogang Fu

Yazhu Chen

Miao Chu

Jingfeng Han

Bo Xu

Guanyu Li

Shuzhan Chen

Lulu Yang

Wei Yu

Yundai Chen

Qizhi Lai

Jun Pu

Xinkai Qu

Zehang Li

Qiuyang Zhao

Junqing Yang

Juan Luis Gutiérrez-Chico

Fuhua Yan

Xinlei Wu

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: S, 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 (S); S, calculating the length of the main vessel in each segmented image frame on the basis of the segmented images of the main vessel (S); and S, 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 (S). 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.

Method and apparatus for calculating blood flow rate in coronary artery, and electronic device

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.

Method and apparatus for processing blood vessel image, storage medium, and imaging device

Display screen with graphical user interface for data analysis

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.

Method and device for establishing blood vessel cross-section function, blood stress vessel pressure difference and blood vessel stress

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: wherein when the unit of Q is mm/s, and when the unit of V is mm, 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.

Method and apparatus for acquiring blood flow volume and blood flow velocity of coronary artery

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.

Vascular pressure difference correction method, device and apparatus

Display device with graphical user interface with data analysis layout

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. The feature point detection module receives several feature points of a target blood vessel of a reference projection angle angiographic image and detects corresponding feature points of a second projection angle angiographic image via a spatial epipolar constraint relationship. The feature point corresponding blood vessel module is used for determining a blood vessel on which the feature points are located. The system simplifies complexity of detection on corresponding relationship, and ensures accuracy of the result while implementing noninvasive detection.

Method and system for indexing blood vessel corresponding positional relations in multi-angle angiography

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.

Method and system for calculating blood vessel pressure difference and fractional flow reserve

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.

Rapid calculation method and system for plaque stability index based on medical image sequence

A system for estimating post-virtual stenting fractional flow reserve (FFR) capable of: receiving geometrical parameters of a blood vessel segment, the geometrical parameters comprising first, second and third geometrical parameters; with a proximal end as a reference point, deriving a reference lumen diameter function and calculating a pre-virtual stenting percent diameter stenosis based on the above geometrical parameters and the distance from position along the segment to the reference point; receiving a virtual stenting location; calculating a geometrical parameter of a virtual lumen of the post virtually-stented segment, deriving a post-virtual stenting geometrical parameter difference function and calculating a percent diameter stenosis based on the third geometrical parameter, the virtual stenting location and the reference lumen diameter function; taking derivative difference functions of the post-virtual stenting geometrical parameter difference function in multiple scales; and obtaining FFR based on the multiple scales of derivative difference functions and a maximum post-virtual stenting mean blood flow velocity. Post-virtual stenting FFR is estimated based on changes in percent diameter stenosis and the maximum mean blood flow velocity after virtual stent implantation using a multi-scale calculation method.

Method and system for evaluating FFR on the basis of virtual stent implantation

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Shanghai, China

Shengxian Tu