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Computationally efficient error estimate for evaluation of regularization in photoacoustic tomography

Bhatt, Manish and Acharya, Atithi and Yalavarthy, Phaneendra K (2016) Computationally efficient error estimate for evaluation of regularization in photoacoustic tomography. In: JOURNAL OF BIOMEDICAL OPTICS, 21 (10).

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Official URL: http://dx.doi.org/10.1117/1.JBO.21.10.106002


The model-based image reconstruction techniques for photoacoustic (PA) tomography require an explicit regularization. An error estimate (eta(2)) minimization-based approach was proposed and developed for the determination of a regularization parameter for PA imaging. The regularization was used within Lanczos bidiagonalization framework, which provides the advantage of dimensionality reduction for a large system of equations. It was shown that the proposed method is computationally faster than the state-of-the-art techniques and provides similar performance in terms of quantitative accuracy in reconstructed images. It was also shown that the error estimate (eta(2)) can also be utilized in determining a suitable regularization parameter for other popular techniques such as Tikhonov, exponential, and nonsmooth (l(1) and total variation norm based) regularization methods. (C) 2016 Society of Photo-Optical Instrumentation Engineers (SPIE)

Item Type: Journal Article
Additional Information: Copy right for this article belongs to the SPIE-SOC PHOTO-OPTICAL INSTRUMENTATION ENGINEERS, 1000 20TH ST, PO BOX 10, BELLINGHAM, WA 98225 USA
Department/Centre: Division of Interdisciplinary Sciences > Computational and Data Sciences
Date Deposited: 30 Dec 2016 07:17
Last Modified: 11 Oct 2018 14:38
URI: http://eprints.iisc.ac.in/id/eprint/55648

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