title:: US9196049B2 — Method and system for regression-based 4D mitral valve segmentation from 2D+t magnetic resonance imaging slices
patent:: US9196049B2
status:: granted 2015-11-24 · Active
filed:: 2012-03-09
assignee:: Siemens AG
people:: Razvan Ioan Ionasec, Dime Vitanovski, Alexey Tsymbal, Gareth Funka-Lea, Dorin Comaniciu, Andreas Greiser, Edgar Mueller
domain:: Cardiology, Computational Modeling, Machine Learning, Computer Vision
link:: https://patents.google.com/patent/US9196049B2/en
Figure 1 from the published patent document. Patent drawings are public records.
Abstract
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.
Data Points
- US9196049B2 — granted US patent (kind code B2)
- Filed 2012-03-09, granted 2015-11-24
- Legal status today — Active
- Assignee — Siemens AG
- Co-inventors — Dime Vitanovski, Alexey Tsymbal, Gareth Funka-Lea, Dorin Comaniciu, Andreas Greiser, Edgar Mueller
Part of the complete record in Patents.
