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Proceedings Paper

Multiply constrained cardiac electrical imaging methods
Author(s): Dana H. Brooks; Kadagattur G. Srinidhi; Robert S. MacLeod; David R. Kaeli
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Paper Abstract

Accurate characterization of the electrical activity of the heart is of great physiological and medical import. The only truly non-invasive sites to measure this activity are on the body surface, as in an ECG, but the signals are attenuated and distorted by the thorax volume conductor. Thus even an array of body surface electrodes records a remote observation of cardiac electrical activity. The goal of cardiac electrical imaging is to accurately and reliably reconstruct the source image sequence from this observed image sequence using a model of the volume conductor. Since the problem is ill-posed, we need to constrain solutions using prior knowledge of source characteristics. Because the source is quite complex and distributed in time and space, and reconstructions are sensitive to the choice and weighting of constraints, several groups, including ours, have recently introduced methods to impose multiple constraints. We will review the problem and some of these methods and describe recent work which uses a convex optimization framework to impose multiple constraints, combining traditional smoothing with preservation of sharp gradients in the reconstructed image sequences. We pay particular attention to efficient distributed computational implementations of these solution methods.

Paper Details

Date Published: 15 October 1999
PDF: 10 pages
Proc. SPIE 3752, Subsurface Sensors and Applications, (15 October 1999); doi: 10.1117/12.365727
Show Author Affiliations
Dana H. Brooks, Northeastern Univ. and Univ. of Utah (United States)
Kadagattur G. Srinidhi, Northeastern Univ. and Univ. of Utah (United States)
Robert S. MacLeod, Univ. of Utah (United States)
David R. Kaeli, Northeastern Univ. (United States)


Published in SPIE Proceedings Vol. 3752:
Subsurface Sensors and Applications
Cam Nguyen, Editor(s)

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