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Coronary artery reconstruction and fractional flow reserve calculation method and device based on deep learning, equipment and readable storage medium

A technique of fractional blood flow reserve and deep learning, which is applied in the fields of coronary remodeling and fractional blood flow reserve calculation methods, devices, equipment and readable storage media to achieve high robustness, good extraction effect, and high promotion value. Effect

Pending Publication Date: 2020-09-11
HANGZHOU ARTERYFLOW TECH CO LTD
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Problems solved by technology

The inventors found that in related technologies, there is room for improvement in the process of extracting the coronary artery centerline, constructing the initial coronary artery model, obtaining the final coronary artery model, and obtaining the blood flow reserve fraction

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  • Coronary artery reconstruction and fractional flow reserve calculation method and device based on deep learning, equipment and readable storage medium
  • Coronary artery reconstruction and fractional flow reserve calculation method and device based on deep learning, equipment and readable storage medium
  • Coronary artery reconstruction and fractional flow reserve calculation method and device based on deep learning, equipment and readable storage medium

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Embodiment Construction

[0048]In order to make the purpose, technical solution and advantages of the present application clearer, the present application will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present application, and are not intended to limit the present application.

[0049] This application discloses a method for calculating coronary artery remodeling and fractional blood flow reserve based on deep learning, including:

[0050] Step 1. Obtain coronary CT image data; input coronary CT image data into a neural network-based binary classification detector model to obtain the detection results of CT coronary centerline seed points; input coronary CT image data and detection results into the The neural network tracker model is used to obtain the tracking result of the CT coronary artery centerline, and the tracking result includes the discre...

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Abstract

The invention relates to a coronary artery reconstruction and fractional flow reserve calculation method and device based on deep learning, equipment and a readable storage medium. A coronary artery blood vessel model is automatically reconstructed through a deep learning model, and a functional parameter, namely the fractional flow reserve, is obtained by solving a hemodynamic control equation. Acoronary artery center line is automatically searched in a deep learning mode, and the coronary artery model is automatically segmented, so that the workload and the working time of manual segmentation or semi-automatic segmentation are greatly reduced. In addition, based on hemodynamic calculation of a lumped parameter model, the microcirculation resistance is coupled at the outlet boundary, sothat blood flow in coronary artery of the patient can be simulated more truly, and the fractional flow reserve can be calculated more accurately.

Description

technical field [0001] The present application relates to the field of computer technology, in particular to methods, devices, equipment and readable storage media for coronary artery reconstruction and fractional blood flow reserve calculation based on deep learning. Background technique [0002] Coronary angiography was once considered the "gold standard" for the diagnosis of coronary heart disease, but it can only qualitatively evaluate the degree of lesion stenosis, but cannot quantitatively evaluate the impact of lesion stenosis on coronary physiological function, so it may overestimate or underestimate the lesion The severity of the disease leads to undertreatment of lesions that require treatment or overtreatment of lesions that do not require treatment. In 1993, NicoPijls et al. proposed a new indicator of calculating coronary blood flow through pressure measurement—Fractional Flow Reserve (FFR). After long-term basic and clinical research, FFR has become a recogniz...

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Application Information

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IPC IPC(8): G06T7/00G06T7/149A61B6/00G06N3/04G06N3/08
CPCG06T7/0012G06T7/149A61B6/507A61B6/504A61B6/5217G06N3/084G06T2207/10081G06T2207/20081G06T2207/20084G06T2207/30104G06N3/045
Inventor 冯立宋湘芬赵行刘欣向建平
Owner HANGZHOU ARTERYFLOW TECH CO LTD
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