Patent ID: 11857292
Assignee: E8IGHT CO., LTD.
Field: Medical technology (Instruments)
Classification: CPC A  G | IPC A  G

Claim 0:
1. A vascular disease diagnosing method for diagnosing a vascular disease by a vascular disease diagnosing apparatus, the method comprising:
generating first geometric feature parameter learning data based on a predetermined synthetic model;
calculating first fractional flow reserve data and first flow feature data using the first geometric feature parameter learning data;
applying the first geometric parameter learning data, the first fractional flow reserve data, and the first flow feature data to Gaussian process regression analysis to generate a first learning model;
acquiring virtual biometric authentication data for a virtual patient model;
generating second geometric feature parameter learning data based on the virtual patient model;
applying the second geometric feature parameter learning data to the first learning model to obtain second fractional flow reserve data;
applying the second geometric feature parameter learning data to computational fluid dynamics (CFD) to obtain second flow feature data;
generating a second learning model based on the virtual biometric authentication data, the second fractional flow reserve data, the second flow feature data, information related to determining of a vascular disease, and information regarding whether to perform a surgery on the vascular disease;
acquiring patient information for a diagnosis subject;
generating geometric feature parameter information based on the patient information;
applying the geometric feature parameter information to the first learning model to calculate fractional flow reserve (FFR) information;
applying the geometric feature parameter information to computational fluid dynamics (CFD) to calculate flow feature information;
acquiring biometric authentication information of the diagnosis subject included in the patient information; and
applying the fractional flow reserve information, the flow feature information, and the biometric authentication information of the diagnosis subject to the second learning model to determine a vascular disease and determine whether to perform a surgery on the vascular disease.