Cross-sectional imaging of speed-of-sound distribution using photoacoustic reversal beacons

Photoacoustic tomography (PAT) enables non-invasive cross-sectional imaging of biological tissues, but it fails to map the spatial variation of speed-of-sound (SOS) within tissues. While SOS is intimately linked to density and elastic modulus of tissues, the imaging of SOS distribution serves as a c...

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Main Authors: Yang Wang, Danni Wang, Liting Zhong, Yi Zhou, Qing Wang, Wufan Chen, Li Qi
Format: Article
Language:English
Published: Elsevier 2025-02-01
Series:Photoacoustics
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Online Access:http://www.sciencedirect.com/science/article/pii/S2213597924000831
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author Yang Wang
Danni Wang
Liting Zhong
Yi Zhou
Qing Wang
Wufan Chen
Li Qi
author_facet Yang Wang
Danni Wang
Liting Zhong
Yi Zhou
Qing Wang
Wufan Chen
Li Qi
author_sort Yang Wang
collection DOAJ
description Photoacoustic tomography (PAT) enables non-invasive cross-sectional imaging of biological tissues, but it fails to map the spatial variation of speed-of-sound (SOS) within tissues. While SOS is intimately linked to density and elastic modulus of tissues, the imaging of SOS distribution serves as a complementary imaging modality to PAT. Moreover, an accurate SOS map can be leveraged to correct for PAT image degradation arising from acoustic heterogeneities. Herein, we propose a method for SOS imaging using scanned photoacoustic beacons excited by short laser pulse with inversion reconstruction. Our method is based on photoacoustic reversal beacons (PRBs), which are small light-absorbing targets with strong photoacoustic contrast. We excite and scan a number of PRBs positioned at the periphery of the target, and the generated photoacoustic waves propagate through the target from various directions, thereby achieve spatial sampling of the internal SOS. By picking up the PRB signal using a graph-based dynamic programing algorithm, we formulate a linear inverse model for pixel-wise SOS reconstruction and solve it with iterative optimization technique. We validate the feasibility of the proposed method through simulations, phantoms, and ex vivo biological tissue tests. Experimental results demonstrate that our approach can achieve accurate reconstruction of SOS distribution. Leveraging the obtained SOS map, we further demonstrate significantly enhanced PAT image reconstruction with acoustic correction.
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institution Kabale University
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publishDate 2025-02-01
publisher Elsevier
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series Photoacoustics
spelling doaj-art-2c61e5d9da66481b9886247786bf62762025-01-17T04:49:29ZengElsevierPhotoacoustics2213-59792025-02-0141100666Cross-sectional imaging of speed-of-sound distribution using photoacoustic reversal beaconsYang Wang0Danni Wang1Liting Zhong2Yi Zhou3Qing Wang4Wufan Chen5Li Qi6School of Biomedical Engineering, Southern Medical University, Guangzhou, Guangdong 510515, China; Guangdong Provincial Key Laboratory of Medical Image Processing, Southern Medical University, Guangzhou, Guangdong 510515, China; Guangdong Province Engineering Laboratory for Medical Imaging and Diagnostic Technology, Southern Medical University, Guangzhou, Guangdong 510515, ChinaSchool of Biomedical Engineering, Southern Medical University, Guangzhou, Guangdong 510515, China; Guangdong Provincial Key Laboratory of Medical Image Processing, Southern Medical University, Guangzhou, Guangdong 510515, China; Guangdong Province Engineering Laboratory for Medical Imaging and Diagnostic Technology, Southern Medical University, Guangzhou, Guangdong 510515, ChinaSchool of Biomedical Engineering, Southern Medical University, Guangzhou, Guangdong 510515, China; Guangdong Provincial Key Laboratory of Medical Image Processing, Southern Medical University, Guangzhou, Guangdong 510515, China; Guangdong Province Engineering Laboratory for Medical Imaging and Diagnostic Technology, Southern Medical University, Guangzhou, Guangdong 510515, ChinaSchool of Biomedical Engineering, Southern Medical University, Guangzhou, Guangdong 510515, China; Guangdong Provincial Key Laboratory of Medical Image Processing, Southern Medical University, Guangzhou, Guangdong 510515, China; Guangdong Province Engineering Laboratory for Medical Imaging and Diagnostic Technology, Southern Medical University, Guangzhou, Guangdong 510515, ChinaSchool of Biomedical Engineering, Southern Medical University, Guangzhou, Guangdong 510515, China; Guangdong Provincial Key Laboratory of Medical Image Processing, Southern Medical University, Guangzhou, Guangdong 510515, China; Guangdong Province Engineering Laboratory for Medical Imaging and Diagnostic Technology, Southern Medical University, Guangzhou, Guangdong 510515, ChinaSchool of Biomedical Engineering, Southern Medical University, Guangzhou, Guangdong 510515, China; Guangdong Provincial Key Laboratory of Medical Image Processing, Southern Medical University, Guangzhou, Guangdong 510515, China; Guangdong Province Engineering Laboratory for Medical Imaging and Diagnostic Technology, Southern Medical University, Guangzhou, Guangdong 510515, China; Corresponding authors at: School of Biomedical Engineering, Southern Medical University, Guangzhou, Guangdong 510515, China.School of Biomedical Engineering, Southern Medical University, Guangzhou, Guangdong 510515, China; Guangdong Provincial Key Laboratory of Medical Image Processing, Southern Medical University, Guangzhou, Guangdong 510515, China; Guangdong Province Engineering Laboratory for Medical Imaging and Diagnostic Technology, Southern Medical University, Guangzhou, Guangdong 510515, China; Corresponding authors at: School of Biomedical Engineering, Southern Medical University, Guangzhou, Guangdong 510515, China.Photoacoustic tomography (PAT) enables non-invasive cross-sectional imaging of biological tissues, but it fails to map the spatial variation of speed-of-sound (SOS) within tissues. While SOS is intimately linked to density and elastic modulus of tissues, the imaging of SOS distribution serves as a complementary imaging modality to PAT. Moreover, an accurate SOS map can be leveraged to correct for PAT image degradation arising from acoustic heterogeneities. Herein, we propose a method for SOS imaging using scanned photoacoustic beacons excited by short laser pulse with inversion reconstruction. Our method is based on photoacoustic reversal beacons (PRBs), which are small light-absorbing targets with strong photoacoustic contrast. We excite and scan a number of PRBs positioned at the periphery of the target, and the generated photoacoustic waves propagate through the target from various directions, thereby achieve spatial sampling of the internal SOS. By picking up the PRB signal using a graph-based dynamic programing algorithm, we formulate a linear inverse model for pixel-wise SOS reconstruction and solve it with iterative optimization technique. We validate the feasibility of the proposed method through simulations, phantoms, and ex vivo biological tissue tests. Experimental results demonstrate that our approach can achieve accurate reconstruction of SOS distribution. Leveraging the obtained SOS map, we further demonstrate significantly enhanced PAT image reconstruction with acoustic correction.http://www.sciencedirect.com/science/article/pii/S2213597924000831Photoacoustic tomographyPhotoacoustic reversal beaconSpeed of sound distributionImage reconstruction
spellingShingle Yang Wang
Danni Wang
Liting Zhong
Yi Zhou
Qing Wang
Wufan Chen
Li Qi
Cross-sectional imaging of speed-of-sound distribution using photoacoustic reversal beacons
Photoacoustics
Photoacoustic tomography
Photoacoustic reversal beacon
Speed of sound distribution
Image reconstruction
title Cross-sectional imaging of speed-of-sound distribution using photoacoustic reversal beacons
title_full Cross-sectional imaging of speed-of-sound distribution using photoacoustic reversal beacons
title_fullStr Cross-sectional imaging of speed-of-sound distribution using photoacoustic reversal beacons
title_full_unstemmed Cross-sectional imaging of speed-of-sound distribution using photoacoustic reversal beacons
title_short Cross-sectional imaging of speed-of-sound distribution using photoacoustic reversal beacons
title_sort cross sectional imaging of speed of sound distribution using photoacoustic reversal beacons
topic Photoacoustic tomography
Photoacoustic reversal beacon
Speed of sound distribution
Image reconstruction
url http://www.sciencedirect.com/science/article/pii/S2213597924000831
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AT yizhou crosssectionalimagingofspeedofsounddistributionusingphotoacousticreversalbeacons
AT qingwang crosssectionalimagingofspeedofsounddistributionusingphotoacousticreversalbeacons
AT wufanchen crosssectionalimagingofspeedofsounddistributionusingphotoacousticreversalbeacons
AT liqi crosssectionalimagingofspeedofsounddistributionusingphotoacousticreversalbeacons