Basis pursuit deconvolution for improving model-based reconstructed images in photoacoustic tomography

Prakash, Jaya and Raju, Aditi Subramani and Shaw, Calvin B and Pramanik, Manojit and Yalavarthy, Phaneendra K (2014) Basis pursuit deconvolution for improving model-based reconstructed images in photoacoustic tomography. In: BIOMEDICAL OPTICS EXPRESS, 5 (5). pp. 1363-1377.

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Abstract

The model-based image reconstruction approaches in photoacoustic tomography have a distinct advantage compared to traditional analytical methods for cases where limited data is available. These methods typically deploy Tikhonov based regularization scheme to reconstruct the initial pressure from the boundary acoustic data. The model-resolution for these cases represents the blur induced by the regularization scheme. A method that utilizes this blurring model and performs the basis pursuit deconvolution to improve the quantitative accuracy of the reconstructed photoacoustic image is proposed and shown to be superior compared to other traditional methods via three numerical experiments. Moreover, this deconvolution including the building of an approximate blur matrix is achieved via the Lanczos bidagonalization (least-squares QR) making this approach attractive in real-time. (C) 2014 Optical Society of America

Item Type:	Journal Article
Publication:	BIOMEDICAL OPTICS EXPRESS
Publisher:	OPTICAL SOC AMER
Additional Information:	copyright for this article belongs to OPTICAL SOC AMER, 2010 MASSACHUSETTS AVE NW, WASHINGTON, DC 20036 USA
Department/Centre:	Division of Electrical Sciences > Electrical Engineering Division of Interdisciplinary Sciences > Supercomputer Education & Research Centre
Date Deposited:	09 Jun 2014 09:30
Last Modified:	09 Jun 2014 09:30
URI:	http://eprints.iisc.ac.in/id/eprint/49220

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