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Simultaneous photoacoustic tomography guided diffuse optical tomography: a numerical study
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Paper Abstract

A co-planar, simultaneous, photoacoustic tomography guided, diffused optical tomography (CS-PAT-DOT) methodology has been presented in this paper. We detect the absorption of sub-regions with different absorption characteristics in deep tissue with a high spatial resolution. To this aim, we initially utilize compressed sensing (CS), time reversal (TR) and back projection (BP) reconstruction algorithms to reconstruct a priori information inside a heterogeneous phantom. Then the reconstructed images are used in DOT image reconstruction through the total variation method. Improvements obtained from such hybrid methodology are measured by comparing DOT and CS-PAT-DOT images. It will also show that each of the reconstructions based on the proposed method has a unique capability to accurately detect heterogeneities in the tissue at different depths; significantly improving spatial resolution in DOT images. The focus of this study is directed towards quantifying the concentrations of endogenous chromophores, e.g., oxyhemoglobin, deoxyhemoglobin and cytochrome-c-oxidase etc., which are significant indices in detecting tissue abnormalities.

Paper Details

Date Published: 6 March 2019
PDF: 6 pages
Proc. SPIE 10878, Photons Plus Ultrasound: Imaging and Sensing 2019, 108785U (6 March 2019); doi: 10.1117/12.2510554
Show Author Affiliations
Mehrdad Zarei, Shahid Beheshti Univ. (Iran, Islamic Republic of)
Sadreddin Mahmoodkalayeh, Sharif Univ. of Technology (Iran, Islamic Republic of)
Mohammad Ali Ansari, Shahid Beheshti Univ. (Iran, Islamic Republic of)
Karl Kratkiewicz, Wayne State Univ. (United States)
Rayyan Manwar, Wayne State Univ. (United States)
M. R. Nasiriavanaki, Wayne State Univ. (United States)
Univ. of California, San Diego (United States)
Barbara Ann Karmanos Cancer Institute (United States)


Published in SPIE Proceedings Vol. 10878:
Photons Plus Ultrasound: Imaging and Sensing 2019
Alexander A. Oraevsky; Lihong V. Wang, Editor(s)

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