Binary photoacoustic tomography for improved vasculature imaging

Binary photoacoustic tomography for improved vasculature imaging

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.

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Main Authors: Prakash, Jaya, Kalva, Sandeep Kumar, Pramanik, Manojit, Yalavarthy, Phaneendra K.
Other Authors: School of Chemical and Biomedical Engineering
Format: Article
Language:English
Published: 2021
Subjects:
Engineering::Bioengineering
Photoacoustic Tomography
Inverse Problems
Online Access:https://hdl.handle.net/10356/152690
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-1526902023-12-29T06:50:32Z Binary photoacoustic tomography for improved vasculature imaging Prakash, Jaya Kalva, Sandeep Kumar Pramanik, Manojit Yalavarthy, Phaneendra K. School of Chemical and Biomedical Engineering Engineering::Bioengineering Photoacoustic Tomography Inverse Problems 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. Published version Jaya Prakash would like to acknowledge the IISc Startup Grant, DBT-IYBA Program, and the Infosys Young Investigator Award. Phaneendra K. Yalavarthy would like to acknowledge the DST-ICPS cluster funding (No. T-851) for the Data Science Program. Part of this work was supported through WIPRO-GE Collaborative Laboratory of Artificial Intelligence in Healthcare and Medical Imaging. 2021-09-16T02:53:15Z 2021-09-16T02:53:15Z 2021 Journal Article Prakash, J., Kalva, S. K., Pramanik, M. & Yalavarthy, P. K. (2021). Binary photoacoustic tomography for improved vasculature imaging. Journal of Biomedical Optics, 26(8), 086004-. https://dx.doi.org/10.1117/1.JBO.26.8.086004 1083-3668 https://hdl.handle.net/10356/152690 10.1117/1.JBO.26.8.086004 34405599 2-s2.0-85114294492 8 26 086004 en Journal of Biomedical Optics © 2021 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. [DOI: 10.1117/1.JBO.26.8.086004] application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic Engineering::Bioengineering
Photoacoustic Tomography
Inverse Problems
spellingShingle Engineering::Bioengineering
Photoacoustic Tomography
Inverse Problems
Prakash, Jaya
Kalva, Sandeep Kumar
Pramanik, Manojit
Yalavarthy, Phaneendra K.
Binary photoacoustic tomography for improved vasculature imaging
description 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.
author2 School of Chemical and Biomedical Engineering
author_facet School of Chemical and Biomedical Engineering
Prakash, Jaya
Kalva, Sandeep Kumar
Pramanik, Manojit
Yalavarthy, Phaneendra K.
format Article
author Prakash, Jaya
Kalva, Sandeep Kumar
Pramanik, Manojit
Yalavarthy, Phaneendra K.
author_sort Prakash, Jaya
title Binary photoacoustic tomography for improved vasculature imaging
title_short Binary photoacoustic tomography for improved vasculature imaging
title_full Binary photoacoustic tomography for improved vasculature imaging
title_fullStr Binary photoacoustic tomography for improved vasculature imaging
title_full_unstemmed Binary photoacoustic tomography for improved vasculature imaging
title_sort binary photoacoustic tomography for improved vasculature imaging
publishDate 2021
url https://hdl.handle.net/10356/152690
_version_ 1787136679447887872

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