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: 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 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: 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

Abstract: A method for computing fractional flow reserve (FFR), comprising: receiving geometrical parameters of a blood vessel segment comprising a proximal end and a distal end, the geometrical parameters comprising 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. A maximum mean blood flow velocity of the segment is obtained, and 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.