FREIMAN, Mordechay, Pinchas,GOSHEN, Liran,NICKISCH, Hannes
申请号：
EPEP2017/073243
公开号：
WO2018/050806A1
申请日:
2017.09.15
申请国别(地区):
EP
年份:
2018
代理人:
摘要：
The present invention relates to an apparatus (26) and a method for determining a fractional flow reserve. For this purpose, a new personalized hyperemic boundary condition model is provided. The personalized hyperemic boundary condition model is used to condition a parametric model for a simulation of a blood flow in a coronary tree (34) of a human subject. As a basis for the personalized hyperemic boundary condition 5 model, a predefined hyperemic boundary condition model is used, which represents empirical derived hyperemic boundary condition parameters. However, these empirical hyperemic boundary condition parameters are not specific for a human subject under examination. In order to achieve a specification of the respective predefined hyperemic boundary condition model, specific human subject features are derived from a volumetric image of the coronary 10 tree of the human subject. These features are used to adjust the predefined hyperemic boundary condition model resulting in a personalized hyperemic boundary condition model. As an effect, a flow simulation using the parametric model conditioned by the personalized hyperemic boundary condition model improves the performance of flow simulation in order to determine an enhanced fractional flow reserve.15La présente invention porte sur un appareil (26) et un procédé de détermination d'une réserve de débit fractionnaire. À cet effet, l'invention concerne un nouveau modèle de condition de limite hyperémique personnalisé. Le modèle de condition de limite hyperémique personnalisée est utilisé pour conditionner un modèle paramétrique destiné à la simulation d'un flux sanguin dans un arbre coronarien (34) chez un sujet humain. Comme base du modèle de condition de limite hyperémique personnalisé, un modèle de condition de limite hyperémique prédéfini est utilisé, qui représente des paramètres de condition de limite hyperémique dérivée empirique. Cependant, ces paramètres de condition de limite hyperémique empirique ne s
