NDLI: Joint reconstruction of 2-D left ventricular displacement and contours from tagged magnetic resonance images using Markov random field edge prior

Content Provider	IEEE Xplore Digital Library
Author	Yan, L. Denney Jr., T.S.
Copyright Year	1998
Description	Author affiliation: Dept. of Electr. Eng., Auburn Univ., AL, USA (Yan, L.)
Abstract	Magnetic Resonance (MR) tagging has been shown to be a useful method for non-invasively measuring the deformation of the left ventricle (LV), during the cardiac cycle. By reconstructing a displacement field based on the movement of the tag lines, one can compute myocardial contraction measures such as strain. Existing methods depend on user-defined LV contours, which require human intervention and are therefore the biggest bottleneck in the reconstruction process. Here, the authors present a method for reconstructing 2-D LV deformation without user-defined contours. They use a compound Gauss-Markov random field to model the 2-D vector displacement field, which is parameterized by two closed and smooth contours. By iteratively optimizing the contours, the displacement field, and the parameters, the authors obtain an estimate of the displacement field and the contours. Experimental results on in vivo human data are presented that demonstrate the accuracy of the authors' algorithm.
Starting Page	103
Ending Page	112
File Size	409142
Page Count	10
File Format	PDF
ISBN	0818684607
DOI	10.1109/BIA.1998.692408
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1998-06-27
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Magnetic field measurement Strain measurement Humans Magnetic resonance Tagging Myocardium Displacement measurement Magnetic field induced strain Gaussian processes In vivo
Content Type	Text
Resource Type	Article

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