Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/161291
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dc.contributor.authorRajendran, Praveenbalajien_US
dc.contributor.authorPramanik, Manojiten_US
dc.date.accessioned2022-08-24T02:06:47Z-
dc.date.available2022-08-24T02:06:47Z-
dc.date.issued2022-
dc.identifier.citationRajendran, P. & Pramanik, M. (2022). High frame rate (∼3 Hz) circular photoacoustic tomography using single-element ultrasound transducer aided with deep learning. Journal of Biomedical Optics, 27(6), 066005-1-066005-14. https://dx.doi.org/10.1117/1.JBO.27.6.066005en_US
dc.identifier.issn1083-3668en_US
dc.identifier.urihttps://hdl.handle.net/10356/161291-
dc.description.abstractSignificance: In circular scanning photoacoustic tomography (PAT), it takes several minutes to generate an image of acceptable quality, especially with a single-element ultrasound transducer (UST). The imaging speed can be enhanced by faster scanning (with high repetition rate light sources) and using multiple-USTs. However, artifacts arising from the sparse signal acquisition and low signal-to-noise ratio at higher scanning speeds limit the imaging speed. Thus, there is a need to improve the imaging speed of the PAT systems without hampering the quality of the PAT image. Aim: To improve the frame rate (or imaging speed) of the PAT system by using deep learning (DL). Approach: For improving the frame rate (or imaging speed) of the PAT system, we propose a novel U-Net-based DL framework to reconstruct PAT images from fast scanning data. Results: The efficiency of the network was evaluated on both single-and multiple-UST-based PAT systems. Both phantom and in vivo imaging demonstrate that the network can improve the imaging frame rate by approximately sixfold in single-UST-based PAT systems and by approximately twofold in multi-UST-based PAT systems. Conclusions: We proposed an innovative method to improve the frame rate (or imaging speed) by using DL and with this method, the fastest frame rate of ∼3 Hz imaging is achieved without hampering the quality of the reconstructed image.en_US
dc.description.sponsorshipMinistry of Education (MOE)en_US
dc.language.isoenen_US
dc.relationRG30/21en_US
dc.relation.ispartofJournal of Biomedical Opticsen_US
dc.rights© The Authors. Published by SPIE under a Creative Commons Attribution 4.0 International 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.27.6.066005]en_US
dc.subjectEngineering::Bioengineeringen_US
dc.titleHigh frame rate (∼3 Hz) circular photoacoustic tomography using single-element ultrasound transducer aided with deep learningen_US
dc.typeJournal Articleen
dc.contributor.schoolSchool of Chemical and Biomedical Engineeringen_US
dc.identifier.doi10.1117/1.JBO.27.6.066005-
dc.description.versionPublished versionen_US
dc.identifier.scopus2-s2.0-85133705171-
dc.identifier.issue6en_US
dc.identifier.volume27en_US
dc.identifier.spage066005-1en_US
dc.identifier.epage066005-14en_US
dc.subject.keywordsPhotoacoustic Tomographyen_US
dc.subject.keywordsHigh Framerate Imagingen_US
dc.description.acknowledgementThe author would like to acknowledge the support by the Tier 1 Grant funded by the Ministry of Education in Singapore (RG30/21).en_US
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