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dc.contributor.author Kim, Haemin -
dc.contributor.author Lee, Hohyeon -
dc.contributor.author Kim, Hyuncheol -
dc.contributor.author Chang, Jin Ho -
dc.date.accessioned 2021-01-22T07:54:58Z -
dc.date.available 2021-01-22T07:54:58Z -
dc.date.created 2021-01-07 -
dc.date.issued 2021-05 -
dc.identifier.citation IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control, v.68, no.5, pp.1593 - 1604 -
dc.identifier.issn 0885-3010 -
dc.identifier.uri http://hdl.handle.net/20.500.11750/12822 -
dc.description.abstract As a molecular imaging modality, photoacoustic imaging has been in the spotlight because it can provide an optical contrast image of physiological information and a relatively deep imaging depth. However, its sensitivity is limited despite the use of exogenous contrast agents due to the background photoacoustic signals generated from non-targeted absorbers such as blood and boundaries between different biological tissues. Additionally, clutter artifacts generated in both in-plane and out-of-plane imaging region degrade the sensitivity of photoacoustic imaging. We propose a method to eliminate the non-targeted photoacoustic signals. For this study, we used a dual-modal ultrasound-photoacoustic contrast agent that is capable of generating both backscattered ultrasound and photoacoustic signal in response to transmitted ultrasound and irradiated light, respectively. The ultrasound images of the contrast agents are used to construct a masking image that contains the location information about the target site and is applied to the photoacoustic image acquired after contrast agent injection. In-vitro and in-vivo experimental results demonstrated that the masking image constructed using the ultrasound images makes it possible to completely remove non-targeted photoacoustic signals. The proposed method can be used to enhance clear visualization of the target area in photoacoustic images. IEEE -
dc.language English -
dc.publisher Institute of Electrical and Electronics Engineers -
dc.title Elimination of Non-targeted Photoacoustic Signals for Combined Photoacoustic and Ultrasound Imaging -
dc.type Article -
dc.identifier.doi 10.1109/TUFFC.2020.3041634 -
dc.identifier.wosid 000645083300012 -
dc.identifier.scopusid 2-s2.0-85097425429 -
dc.type.local Article(Overseas) -
dc.type.rims ART -
dc.description.journalClass 1 -
dc.citation.publicationname IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control -
dc.contributor.nonIdAuthor Kim, Haemin -
dc.contributor.nonIdAuthor Lee, Hohyeon -
dc.contributor.nonIdAuthor Kim, Hyuncheol -
dc.identifier.citationVolume 68 -
dc.identifier.citationNumber 5 -
dc.identifier.citationStartPage 1593 -
dc.identifier.citationEndPage 1604 -
dc.identifier.citationTitle IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control -
dc.type.journalArticle Article -
dc.description.isOpenAccess N -
dc.subject.keywordAuthor Imaging -
dc.subject.keywordAuthor Ultrasonic imaging -
dc.subject.keywordAuthor Sensitivity -
dc.subject.keywordAuthor Optical sensors -
dc.subject.keywordAuthor Optical imaging -
dc.subject.keywordAuthor Lesions -
dc.subject.keywordAuthor Biomedical optical imaging -
dc.subject.keywordAuthor Background photoacoustic (PA) signal removal -
dc.subject.keywordAuthor dual-modal imaging -
dc.subject.keywordAuthor image enhancement -
dc.subject.keywordAuthor multimodality fusion -
dc.subject.keywordAuthor PA imaging -
dc.subject.keywordAuthor ultrasound (US) -
dc.subject.keywordPlus CONTRAST-ENHANCED ULTRASOUND -
dc.subject.keywordPlus IN-VIVO -
dc.subject.keywordPlus INDOCYANINE-GREEN -
dc.subject.keywordPlus BIOMEDICAL APPLICATIONS -
dc.subject.keywordPlus CARBON NANOTUBES -
dc.subject.keywordPlus DRUG-DELIVERY -
dc.subject.keywordPlus NANOPARTICLES -
dc.subject.keywordPlus MICROBUBBLES -
dc.subject.keywordPlus SYSTEM -
dc.subject.keywordPlus IDENTIFICATION -
dc.contributor.affiliatedAuthor Kim, Haemin -
dc.contributor.affiliatedAuthor Lee, Hohyeon -
dc.contributor.affiliatedAuthor Kim, Hyuncheol -
dc.contributor.affiliatedAuthor Chang, Jin Ho -
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Department of Electrical Engineering and Computer Science Medical Acoustic Fusion Innovation Lab. 1. Journal Articles

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