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Binary photoacoustic tomography for improved vasculature imaging

Prakash, J and Kalva, SK and Pramanik, M and Yalavarthy, PK (2021) Binary photoacoustic tomography for improved vasculature imaging. In: Journal of Biomedical Optics, 26 (8).

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Official URL: https://doi.org/10.1117/1.JBO.26.8.086004


Significance: The proposed binary tomography approach was able to recover the vasculature structures accurately, which could potentially enable the utilization of binary tomography algorithm in scenarios such as therapy monitoring and hemorrhage detection in different organs. Aim: Photoacoustic tomography (PAT) involves reconstruction of vascular networks having direct implications in cancer research, cardiovascular studies, and neuroimaging. Various methods have been proposed for recovering vascular networks in photoacoustic imaging; however, most methods are two-step (image reconstruction and image segmentation) in nature. We propose a binary PAT approach wherein direct reconstruction of vascular network from the acquired photoacoustic sinogram data is plausible. Approach: Binary tomography approach relies on solving a dual-optimization problem to reconstruct images with every pixel resulting in a binary outcome (i.e., either background or the absorber). Further, the binary tomography approach was compared against backprojection, Tikhonov regularization, and sparse recovery-based schemes. Results: Numerical simulations, physical phantom experiment, and in-vivo rat brain vasculature data were used to compare the performance of different algorithms. The results indicate that the binary tomography approach improved the vasculature recovery by 10 using in-silico data with respect to the Dice similarity coefficient against the other reconstruction methods. Conclusion: The proposed algorithm demonstrates superior vasculature recovery with limited data both visually and based on quantitative image metrics. © The Authors. Published by SPIE under a Creative Commons Attribution 4.0 Unported License. Distribution or reproduction of this work in whole or in part requires full attribution of the original publication, including its DOI.

Item Type: Journal Article
Publication: Journal of Biomedical Optics
Publisher: SPIE
Additional Information: The copyright for this article belongs to Author
Keywords: Computer system recovery; Data visualization; Image segmentation; Neuroimaging; Photoacoustic effect; Recovery; Tomography, Dual optimization problems; Hemorrhage detection; Photo-acoustic imaging; Photoacoustic tomography; Reconstruction method; Similarity coefficients; Tikhonov regularization; Vasculature structures, Image reconstruction
Department/Centre: Division of Interdisciplinary Sciences > Computational and Data Sciences
Division of Physical & Mathematical Sciences > Instrumentation Appiled Physics
Date Deposited: 03 Dec 2021 07:49
Last Modified: 03 Dec 2021 07:49
URI: http://eprints.iisc.ac.in/id/eprint/70157

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