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
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[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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