EP 3218872 A2 20170920 - METHOD AND SYSTEM FOR PURELY GEOMETRIC MACHINE LEARNING BASED FRACTIONAL FLOW RESERVE
Title (en)
METHOD AND SYSTEM FOR PURELY GEOMETRIC MACHINE LEARNING BASED FRACTIONAL FLOW RESERVE
Title (de)
VERFAHREN UND SYSTEM FÜR FRAKTIONSFLUSSRESERVE AUF DER BASIS VON REIN GEOMETRISCHEM MASCHINELLEM LERNEN
Title (fr)
PROCÉDÉ ET SYSTÈME POUR ÉVALUATION À BASE D'APPRENTISSAGE AUTOMATIQUE PUREMENT GÉOMÉTRIQUE DU FLUX DE RÉSERVE CORONAIRE
Publication
Application
Priority
- US 201462079641 P 20141114
- US 201462083373 P 20141124
- US 201514804609 A 20150721
- US 201514876852 A 20151007
- EP 2015076685 W 20151116
Abstract (en)
[origin: CN107427268A] 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 are 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.
IPC 8 full level
G06T 7/00 (2017.01)
CPC (source: CN EP)
A61B 6/504 (2013.01 - CN EP); A61B 6/5217 (2013.01 - CN EP); G06T 7/0012 (2013.01 - CN EP); G16H 50/50 (2018.01 - EP); A61B 6/032 (2013.01 - CN EP); G06T 2207/10072 (2013.01 - CN EP); G06T 2207/20081 (2013.01 - CN EP); G06T 2207/30101 (2013.01 - CN EP); G06T 2207/30104 (2013.01 - CN EP); G06V 40/14 (2022.01 - CN EP); G06V 2201/03 (2022.01 - CN EP)
Designated contracting state (EPC)
AL AT BE BG CH CY CZ DE DK EE ES FI FR GB GR HR HU IE IS IT LI LT LU LV MC MK MT NL NO PL PT RO RS SE SI SK SM TR
Designated extension state (EPC)
BA ME
DOCDB simple family (publication)
CN 107427268 A 20171201; CN 107427268 B 20230728; EP 3218872 A2 20170920; JP 2017535340 A 20171130; JP 6539736 B2 20190703
DOCDB simple family (application)
CN 201580061934 A 20151116; EP 15804080 A 20151116; JP 2017525590 A 20151116