2D displacement field reconstruction of left ventricle from tagged MR images using discontinuity-preserving regularization

Litao Yan; Thomas S. Denney Jr.

doi:10.1117/12.310959

24 June 1998 2D displacement field reconstruction of left ventricle from tagged MR images using discontinuity-preserving regularization

Litao Yan, Thomas S. Denney Jr.

Author Affiliations +

Proceedings Volume 3338, Medical Imaging 1998: Image Processing; (1998) https://doi.org/10.1117/12.310959
Event: Medical Imaging '98, 1998, San Diego, CA, United States

Abstract

Magnetic resonance tagging has been shown to be a useful technique for non-invasively measuring the deformation of an in vivo heart. Tagged images appear with a spatially encoded pattern of lines called tag lines that move with the tissue and can be analyzed to reconstruct a description of left ventricular (LV) displacement during a portion of the cardiac cycle. Existing analysis methods require user- defined epicardial and endocardial contours. In this paper we present a method based on edge-preserving regularization techniques for reconstructing dense 2D left ventricular displacement field from tag line position data without prior knowledge of the LV contours. Our methods are demonstrated on both simulated and in vivo data.

Citation Download Citation

Litao Yan and Thomas S. Denney Jr. "2D displacement field reconstruction of left ventricle from tagged MR images using discontinuity-preserving regularization", Proc. SPIE 3338, Medical Imaging 1998: Image Processing, (24 June 1998); https://doi.org/10.1117/12.310959

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