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AssigneeSiemens Aktiengesellschaft
InventorsRazvan Ioan Ionasec, Dime Vitanovski, Alexey Tsymbal, Gareth Funka-Lea, Dorin Comaniciu, Andreas Greiser, Edgar Mueller
Estimating the term…
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.
A method mitral valve segmentation from a plurality of 2D cardiac magnetic resonance (CMR) slices, comprising:
An apparatus for mitral valve segmentation from a plurality of 2D cardiac magnetic resonance (CMR) slices, comprising:
A non-transitory computer readable medium encoded with computer executable instructions for mitral valve segmentation from a plurality of 2D cardiac magnetic resonance (CMR) slices, the computer executable instructions defining a method comprising:
Dependencies are inferred from the claim text.