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Nonquadratic penalization improves near-infrared diffuse optical tomography

Jagannath, Ravi Prasad K and Yalavarthy, Phaneendra K (2013) Nonquadratic penalization improves near-infrared diffuse optical tomography. In: JOURNAL OF THE OPTICAL SOCIETY OF AMERICA A-OPTICS IMAGE SCIENCE AND VISION, 30 (8). pp. 1516-1523.

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Official URL: http://dx.doi.org/10.1364/JOSAA.30.001516

Abstract

A new approach that can easily incorporate any generic penalty function into the diffuse optical tomographic image reconstruction is introduced to show the utility of nonquadratic penalty functions. The penalty functions that were used include quadratic (l(2)), absolute (l(1)), Cauchy, and Geman-McClure. The regularization parameter in each of these cases was obtained automatically by using the generalized cross-validation method. The reconstruction results were systematically compared with each other via utilization of quantitative metrics, such as relative error and Pearson correlation. The reconstruction results indicate that, while the quadratic penalty may be able to provide better separation between two closely spaced targets, its contrast recovery capability is limited, and the sparseness promoting penalties, such as l(1), Cauchy, and Geman-McClure have better utility in reconstructing high-contrast and complex-shaped targets, with the Geman-McClure penalty being the most optimal one. (C) 2013 Optical Society of America

Item Type: Journal Article
Additional Information: Copyright of this article is belongs to OPTICAL SOC AMER
Department/Centre: Division of Interdisciplinary Research > Supercomputer Education & Research Centre
Depositing User: Id for Latest eprints
Date Deposited: 24 Sep 2013 06:55
Last Modified: 24 Sep 2013 06:55
URI: http://eprints.iisc.ac.in/id/eprint/47294

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