Paper Info
Title
Myocardial segmentation of late gadolinium enhanced MR images by propagation of contours from cine MR images.
Abstract
Automatic segmentation of myocardium in Late Gadolinium Enhanced (LGE) Cardiac MR (CMR) images is often difficult due to the intensity heterogeneity resulting from accumulation of contrast agent in infarcted areas. In this paper, we propose an automatic segmentation framework that fully utilizes shared information between corresponding cine and LGE images of a same patient. Given myocardial contours in cine CMR images, the proposed framework achieves accurate segmentation of LGE CMR images in a coarse-to-fine manner. Affine registration is first performed between the corresponding cine and LGE image pair, followed by nonrigid registration, and finally local deformation of myocardial contours driven by forces derived from local features of the LGE image. Experimental results on real patient data with expert outlined ground truth show that the proposed framework can generate accurate and reliable results for myocardial segmentation of LGE CMR images.
Year
DOI
Venue
2011
10.1007/978-3-642-23626-6_53
MICCAI (3)
Keywords
Field
DocType
cine mr image,proposed framework,lge image,lge cmr image,automatic segmentation,myocardial contour,automatic segmentation framework,lge image pair,late gadolinium,accurate segmentation,cine cmr image,corresponding cine,myocardial segmentation
Affine transformation,Computer vision,Pattern recognition,Computer science,Segmentation,Ground truth,Artificial intelligence,Gadolinium
Conference
Volume
Issue
ISSN
14
Pt 3
0302-9743
Citations 
PageRank 
References 
7
0.67
8
Authors
5
Name
Order
Citations
PageRank
Dong Wei1191.65
Ying Sun222419.86
Ping Chai3222.42
Adrian F Low4191.65
Sim Heng Ong542644.63