Paper Info
Title
2D displacement field reconstruction of left ventricle from tagged MR images using discontinuity-preserving regularization
Abstract
Magnetic resonance (MR) 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 2-D 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.
Year
DOI
Venue
1998
10.1117/12.310959
PROCEEDINGS OF THE SOCIETY OF PHOTO-OPTICAL INSTRUMENTATION ENGINEERS (SPIE)
Keywords
Field
DocType
MR tagging,discontinuity-preserving regularization,contour,truncated quadratic potential
Iterative reconstruction,Biomedical engineering,Computer vision,Displacement field,Computer science,Edge detection,Discontinuity (linguistics),Regularization (mathematics),Artificial intelligence,Ventricle,Cardiac cycle,Magnetic resonance imaging
Conference
Volume
ISSN
Citations 
3338
0277-786X
0
PageRank 
References 
Authors
0.34
0
2
Name
Order
Citations
PageRank
litao yan100.34
Thomas S. Denney Jr.2379.17