发明名称 |
METHOD AND SYSTEM FOR PURELY GEOMETRIC MACHINE LEARNING BASED FRACTIONAL FLOW RESERVE |
摘要 |
A method and system for determining hemodynamic indices, such as fractional flow reserve (FFR), for a location of interest in a coronary artery of a patient is disclosed. Medical image data of a patient is received. Patient-specific coronary arterial tree geometry of the patient is extracted from the medical image data. Geometric features are extracted from the patient-specific coronary arterial tree geometry of the patient. A hemodynamic index, such as FFR, is computed for a location of interest in the patient-specific coronary arterial tree based on the extracted geometric features using a trained machine-learning based surrogate model. The machine-learning based surrogate model is trained based on geometric features extracted from synthetically generated coronary arterial tree geometries. |
申请公布号 |
WO2016075331(A2) |
申请公布日期 |
2016.05.19 |
申请号 |
WO2015EP76685 |
申请日期 |
2015.11.16 |
申请人 |
SIEMENS HEALTHCARE GMBH |
发明人 |
ITU, LUCIAN MIHAI;PASSERINI, TIZIANO;RAPAKA, SAIKIRAN;SCHWEMMER, CHRIS;SCHÖBINGER, MAX;SHARMA, PUNEET |
分类号 |
G06T7/00 |
主分类号 |
G06T7/00 |
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