Method and System for Personalized Non-Invasive Hemodynamic Assessment of Renal Artery Stenosis from Medical Images

摘要

A method and system for personalized non-invasive assessment of renal artery stenosis for a patient is disclosed. Medical image data of a patient is received. Patient-specific renal arterial geometry of the patient is extracted from the medical image data. Features are extracted from the patient-specific renal arterial geometry of the patient. A hemodynamic index is computed for one or more locations of interest in the patient-specific renal arterial geometry based on the extracted features using a trained machine-learning based surrogate model. The machine-learning based surrogate model is trained based on features extracted from synthetically generated renal arterial geometries.

主权项

1. A method for personalized non-invasive assessment of renal artery stenosis for a patient, comprising:
receiving medical image data of the patient; extracting patient-specific renal arterial geometry of the patient from the medical image data; extracting features from the patient-specific renal arterial geometry of the patient; and computing a hemodynamic index for one or more locations of interest in the patient-specific renal arterial geometry based on the extracted features using a trained machine-learning based surrogate model trained based on features extracted from synthetically generated renal arterial tree geometries.