Patent · US Active

Method and system for regression-based 4D mitral valve segmentation from 2D+t magnetic resonance imaging slices

US9196049B2 · kind B2 · utility

1Cited by

3References

37Claims

0Family size

Assignee

Siemens Aktiengesellschaft · DE

Inventors

Razvan Ioan Ionasec · Lawrenceville, US
Dime Vitanovski · Erlangen, DE
Alexey Tsymbal · Erlangen, DE
Gareth Funka-Lea · Princeton, US
Dorin Comaniciu · Princeton Junction, US
Andreas Greiser · Erlangen, DE
Edgar Mueller · Heroldsbach, DE

Key dates

Filing date	Mar 9, 2012
Grant date	Nov 24, 2015
Priority date	—
Expiry date	Aug 1, 2033

Classification

Technology area (CPC G)Physics
CPC primaryG06T2207/30048
WIPO fieldComputer technology
WIPO sectorElectrical engineering

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.

Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.