Method and system for regression-based 4D mitral valve segmentation from 2D+T magnetic resonance imaging slices
摘要
A system and method for regression-based segmentation of the mitral valve in 2D+t cardiac magnetic resonance (CMR) slices is disclosed. The 2D+t CMR slices are acquired according to a mitral valve-specific acquisition protocol introduced herein. A set of mitral valve landmarks is detected in each 2D CMR slice and mitral valve contours are estimated in each 2D CMR slice based on the detected landmarks. A full mitral valve model is reconstructed from the mitral valve contours estimated in the 2D CMR slices using a trained regression model. Each 2D CMR slice may be a cine image acquired over a full cardiac cycle. In this case, the segmentation method reconstructs a patient-specific 4D dynamic mitral valve model from the 2D+t CMR image data.
申请公布号
EP2498222(A3)
申请公布日期
2017.01.11
申请号
EP20120158936
申请日期
2012.03.09
申请人
Siemens Corporation;Siemens Healthcare GmbH
发明人
Ionasec, Razvan Ioan;Vitanovski, Dime;Tsymbal, Alexey;Funka-Lea, Gareth;Comaniciu, Dorin;Greiser, Andreas;Mueller, Edgar