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ANN-based fractional flow reserve prediction method and device, equipment and medium

A technology of blood flow reserve fraction and prediction method, which is applied in the field of ANN-based blood flow reserve fraction prediction, can solve the problems of cumbersome calculation, time-consuming and labor-intensive, general calculation accuracy of blood flow reserve fraction, etc. The effect of degrees of freedom

Inactive Publication Date: 2019-02-12
深圳市孙逸仙心血管医院
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Problems solved by technology

[0009] However, the accuracy of the existing detection system for calculating the blood flow storage fraction is average, and cumbersome calculations are required to obtain the blood flow storage fraction, which is time-consuming and labor-intensive.

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  • ANN-based fractional flow reserve prediction method and device, equipment and medium
  • ANN-based fractional flow reserve prediction method and device, equipment and medium
  • ANN-based fractional flow reserve prediction method and device, equipment and medium

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Embodiment Construction

[0068] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of them. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of the present invention.

[0069] In addition, the descriptions involving "first", "second" and so on in the present invention are only for descriptive purposes, and should not be understood as indicating or implying their relative importance or implicitly indicating the quantity of the indicated technical features. Thus, the features defined as "first" and "second" may explicitly or implicitly include at least one of these features. In addition, the technical solutions of the ...

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Abstract

The invention discloses an ANN-based fractional flow reserve prediction method and device, equipment and a medium. The method comprises steps that all the basic data in a reference database are divided into modeling data and model detection data according to a specified proportion; the modeling data is trained through a specified algorithm to obtain a fractional flow reserve prediction model; thefractional flow reserve prediction model is checked by the model detection data; whether the check result is consistent with the specified requirement is determined, if yes, the fractional flow reserve prediction model is used to predict the fractional flow reserve of a subject. The ,method is advantaged in that the fractional flow reserve can be accurately predicted, accuracy can reach 98%, average accuracy can reach more than 90%, the application range is wide, prediction can be performed without knowing the formula relationship between input parameters and reference data, and greater freedom is realized.

Description

technical field [0001] The present invention relates to the field of medical detection, in particular to an ANN-based blood flow reserve fraction prediction method, device, equipment and medium. Background technique [0002] Both coronary angiography and intravascular ultrasound are considered the "gold standard" for diagnosing coronary heart disease, but they can only perform imaging evaluation on the degree of lesion stenosis, but it is unknown how much the stenosis affects the distal blood flow; Fractional flow reserve (FFR) has now become a recognized index for functional evaluation of coronary artery stenosis, and its most important function is to accurately evaluate the functional consequences of an unknown coronary artery stenosis. [0003] Fractional flow reserve (FFR) refers to the ratio of the maximum blood flow that can be obtained by the myocardial region supplied by the target measurement vessel to the theoretical maximum blood flow that can be obtained by the s...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G16H50/20G16H50/50
CPCG16H50/20G16H50/50
Inventor 彭长农王小庆冼展超
Owner 深圳市孙逸仙心血管医院
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