Please use this identifier to cite or link to this item:
|Title:||Myocardial segmentation of late gadolinium enhanced MR images by propagation of contours from cine MR images||Authors:||Wei, D.
|Issue Date:||2011||Citation:||Wei, D.,Sun, Y.,Chai, P.,Low, A.,Ong, S.H. (2011). Myocardial segmentation of late gadolinium enhanced MR images by propagation of contours from cine MR images. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 6893 LNCS (PART 3) : 428-435. ScholarBank@NUS Repository. https://doi.org/10.1007/978-3-642-23626-6_53||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. © 2011 Springer-Verlag.||Source Title:||Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)||URI:||http://scholarbank.nus.edu.sg/handle/10635/71084||ISBN:||9783642236259||ISSN:||03029743||DOI:||10.1007/978-3-642-23626-6_53|
|Appears in Collections:||Staff Publications|
Show full item record
Files in This Item:
There are no files associated with this item.
checked on Oct 11, 2019
checked on Oct 13, 2019
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.