Method and device for obtaining vascular pressure difference

A device for obtaining vascular pressure difference, wherein it comprises:

• a data collector, which is used to obtain and store the geometric parameters of the target blood vessel in the anatomical model of the vascular system;
• a pressure difference processor, which is used to establish a blood flow model of the target blood vessel, and a geometric model corresponding to the target blood vessel established based on the geometric parameters;
• the pressure difference processor is further configured to correct the geometric model and/or blood flow model, and obtain a cross-sectional shape model and a blood vessel pressure difference calculation model based on the corrected geometric model and the blood flow model;
• at the same time, according to the blood vessel pressure difference calculation model and hemodynamics, the pressure difference value ΔP of the target blood vessel is obtained.

A device for obtaining blood flow reserve score, wherein it comprises:

• a data collector, which is used to obtain and store the geometric parameters of the target blood vessel in the anatomical model of the blood vessel device;
• a blood flow information processor, the blood flow information processor being used to establish a blood flow model of the target blood vessel, and to establish a geometric model corresponding to the target blood vessel based on the geometric parameters;
• the blood flow information processor is also used to correct the geometric model and the blood flow model to obtain a cross-sectional shape model, and obtain a vascular pressure difference calculation model based on the cross-sectional shape model and the blood flow model And the maximum blood flow velocity of the target vessel;
• according to the vascular pressure difference calculation model and the maximum blood flow velocity, combined with hemodynamics, the blood flow reserve fraction FFR is calculated.

A device for obtaining a patient's blood vessel pressure difference, the device having a processor, wherein the processor is configured to make the device execute the following steps:

• collect the anatomical data of the patient's blood vessel to be examined;
• establishing a blood vessel model of the patient's blood vessel to be examined according to the anatomical data;
• based on the blood vessel model, further establishing a lumen morphology model at different scales;
• according to the preset morphological difference function, the vascular pressure difference between any two positions of the blood vessel to be examined is determined based on the lumen morphological model and the blood vessel model.

A method for obtaining vascular pressure difference, wherein the method includes:

• receiving anatomical data of the blood vessel, and obtaining a geometric model of the target blood vessel according to the anatomical data;
• preprocessing the geometric model to establish a cross-sectional shape model of the target blood vessel at various positions between the proximal end and the distal end;
• using the proximal end point of the target blood vessel as a reference point, the cross-sectional morphological model at different scales is fitted to calculate the morphological difference function f(x) of the target vessel lumen, and the scale is the calculated morphological difference function f(x) is the distance between two adjacent cross sections;
• the calculation formula of the pressure difference value ΔP at any two positions of the target blood vessel at different scales is:
• ΔP=k*[α1*∫f1(x)dx+α2*∫f2(x)dx+ . . . +αn*∫fn(x)dx]
• among them, k is a correction parameter, and k is a constant greater than or equal to 1;
• α1, α2, . . . , αn are the weighting coefficients of the morphological difference functions f1(x), f2(x), . . . , fn(x) of the vascular lumen at different scales;
• the different scales include a first scale, a second scale, . . . , an n-th scale;
• the first-scale morphological difference function f1(x) is used to detect the geometric morphological difference between two adjacent cross-sectional morphological models caused by the first type of lesion feature;
• the second-scale morphological difference function f2(x) is used to detect the geometric morphological difference between two adjacent cross-sectional morphological models caused by the second type of lesion feature;
• the n-th scale morphological difference function fn(x) is used to detect the geometric morphological difference between two adjacent cross-sectional morphological models caused by the n-th lesion feature;
• wherein, n is a natural number greater than or equal to 1.