New automated Markov-Gibbs random field based framework for myocardial wall viability quantification on agent enhanced cardiac magnetic resonance images.

A novel automated framework for detecting and quantifying viability from agent enhanced cardiac magnetic resonance images is proposed. The framework identifies the pathological tissues based on a joint Markov-Gibbs random field (MGRF) model that accounts for the 1st-order visual appearance of the my...

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Bibliographic Details

Published in:	International Journal of Cardiovascular Imaging Vol. 28; no. 7; pp. 1683 - 1699
Main Authors:	Elnakib A, Beache GM, Gimel'farb G, El-Baz A, Elnakib, Ahmed, Beache, Garth M, Gimel'farb, Georgy, El-Baz, Ayman
Format:	research Journal Article
Published:	Springer Nature Oct2012
Online Access:	View this record in EBSCOhost