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Sparse Recovery Methods Hold Promise for Diffuse Optical Tomographic Image Reconstruction

Prakash, Jaya and Shaw, Calvin B and Manjappa, Rakesh and Kanhirodan, Rajan and Yalavarthy, Phaneendra K (2014) Sparse Recovery Methods Hold Promise for Diffuse Optical Tomographic Image Reconstruction. In: IEEE JOURNAL OF SELECTED TOPICS IN QUANTUM ELECTRONICS, 20 (2).

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Official URL: http://dx.doi.org/10.1109/JSTQE.2013.2278218


The sparse recovery methods utilize the l(p)-normbased regularization in the estimation problem with 0 <= p <= 1. These methods have a better utility when the number of independent measurements are limited in nature, which is a typical case for diffuse optical tomographic image reconstruction problem. These sparse recovery methods, along with an approximation to utilize the l(0)-norm, have been deployed for the reconstruction of diffuse optical images. Their performancewas compared systematically using both numerical and gelatin phantom cases to show that these methods hold promise in improving the reconstructed image quality.

Item Type: Journal Article
Additional Information: Copyright for this article belongs to the IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, USA
Keywords: Near infrared imaging; diffuse optical tomography; image reconstruction; sparse recovery methods
Department/Centre: Division of Interdisciplinary Research > Supercomputer Education & Research Centre
Division of Physical & Mathematical Sciences > Physics
Depositing User: Id for Latest eprints
Date Deposited: 20 Feb 2014 05:13
Last Modified: 20 Feb 2014 05:13
URI: http://eprints.iisc.ac.in/id/eprint/48408

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