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Model resolution matrix based deconvolution improves over non-quadratic penalization in frequency-domain photoacoustic tomography

Nakshatri, HS and Prakash, J (2022) Model resolution matrix based deconvolution improves over non-quadratic penalization in frequency-domain photoacoustic tomography. In: Journal of the Acoustical Society of America, 152 (3). pp. 1345-1356.

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Official URL: https://doi.org/10.1121/10.0013829


Frequency domain photoacoustic tomography is becoming more attractive due to low-cost and compact light-sources being used; however, frequency-domain implementation suffers from lower signal to noise compared to time-domain implementation. In this work, we have developed a non-quadratic based penalization framework for frequency-domain photoacoustic imaging, and further proposed a two-step model-resolution matrix based deconvolution approach to improve the reconstruction image quality. The model-resolution matrix was developed in the context of different penalty functions like l2-norm, l1-norm, Cauchy, and Geman-McClure. These model-resolution matrices were then used to perform the deconvolution operation using split augmented Lagrangian shrinkage thresholding algorithm in both full-view and limited-view configurations. The results indicated that the two-step approach outperformed the different penalty function (prior constraint) based reconstruction, with an improvement of about 20 in terms of peak signal to noise ratio and 30 in terms of structural similarity index measure. The improved image quality provided using these algorithms will have a direct impact on realizing practical frequency-domain implementation in both limited-view and full-view configurations. © 2022 Acoustical Society of America.

Item Type: Journal Article
Publication: Journal of the Acoustical Society of America
Publisher: Acoustical Society of America
Additional Information: The copyright for this article belongs to Acoustical Society of America.
Keywords: Constrained optimization; Deconvolution; Frequency domain analysis; Image enhancement; Image quality; Photoacoustic effect; Signal to noise ratio; Tomography, Deconvolutions; Frequency domains; Frequency-domain implementation; Low-costs; Model resolution matrixes; Penalisation; Penalty function; Photoacoustic tomography; Signal to noise; Time domain, Light sources, algorithm; article; deconvolution; human; image quality; photoacoustic tomography; punishment; signal noise ratio
Department/Centre: Division of Physical & Mathematical Sciences > Instrumentation Appiled Physics
Date Deposited: 06 Oct 2022 06:39
Last Modified: 06 Oct 2022 06:39
URI: https://eprints.iisc.ac.in/id/eprint/77140

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