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Real-time Triple-modal Photoacoustic, Ultrasound, and Magnetic Resonance Fusion Imaging of Humans

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dc.contributor.authorPark, Sara-
dc.contributor.authorJang, Jongseong-
dc.contributor.authorKim, Jeesu-
dc.contributor.authorKim, Young Soo-
dc.contributor.authorKim, Chulhong-
dc.date.accessioned2022-07-13T12:02:53Z-
dc.date.available2022-07-13T12:02:53Z-
dc.date.created2021-05-12-
dc.date.issued2017-09-
dc.identifier.issn0278-0062-
dc.identifier.urihttps://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/151705-
dc.description.abstractImaging that fuses multiple modes has become a useful tool for diagnosis and therapeutic monitoring. As a next step, real-time fusion imaging has attracted interest as for a tool to guide surgery. One widespread fusion imaging technique in surgery combines real-time ultrasound (US) imaging and pre-acquired magnetic resonance (MR) imaging. However, US imaging visualizes only structural information with relatively low contrast. Here, we present a photoacoustic (PA), US, and MR fusion imaging system which integrates a clinical PA and US imaging system with an optical tracking-based navigation subsystem. Through co-registration of pre-acquired MR and real-time PA/US images, overlaid PA, US, and MR images can be concurrently displayed in real time. We successfully acquired fusion images from a phantom and a blood vessel in a human forearm. This fusion imaging can complementarily delineate the morphological and vascular structure of tissues with good contrast and sensitivity, has a well established user interface, and can be flexibly integrated with clinical environments. As a novel fusion imaging, the proposed triple-mode imaging can provide comprehensive image guidance in real time, and can potentially assist various surgeries.-
dc.language영어-
dc.language.isoen-
dc.publisherIEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC-
dc.titleReal-time Triple-modal Photoacoustic, Ultrasound, and Magnetic Resonance Fusion Imaging of Humans-
dc.typeArticle-
dc.contributor.affiliatedAuthorKim, Young Soo-
dc.identifier.doi10.1109/TMI.2017.2696038-
dc.identifier.scopusid2-s2.0-85029598993-
dc.identifier.wosid000409138700013-
dc.identifier.bibliographicCitationIEEE TRANSACTIONS ON MEDICAL IMAGING, v.36, no.9, pp.1912 - 1921-
dc.relation.isPartOfIEEE TRANSACTIONS ON MEDICAL IMAGING-
dc.citation.titleIEEE TRANSACTIONS ON MEDICAL IMAGING-
dc.citation.volume36-
dc.citation.number9-
dc.citation.startPage1912-
dc.citation.endPage1921-
dc.type.rimsART-
dc.type.docTypeArticle-
dc.description.journalClass1-
dc.description.isOpenAccessN-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
dc.relation.journalResearchAreaComputer Science-
dc.relation.journalResearchAreaEngineering-
dc.relation.journalResearchAreaImaging Science & Photographic Technology-
dc.relation.journalResearchAreaRadiology, Nuclear Medicine & Medical Imaging-
dc.relation.journalWebOfScienceCategoryComputer Science, Interdisciplinary Applications-
dc.relation.journalWebOfScienceCategoryEngineering, Biomedical-
dc.relation.journalWebOfScienceCategoryEngineering, Electrical & Electronic-
dc.relation.journalWebOfScienceCategoryImaging Science & Photographic Technology-
dc.relation.journalWebOfScienceCategoryRadiology, Nuclear Medicine & Medical Imaging-
dc.subject.keywordPlusOPTICAL-PROPERTIES-
dc.subject.keywordPlusREGISTRATION-
dc.subject.keywordPlusTOMOGRAPHY-
dc.subject.keywordAuthorImage registration-
dc.subject.keywordAuthormedical imaging-
dc.subject.keywordAuthoroptical imaging-
dc.subject.keywordAuthoroptical-tracking based navigation system-
dc.subject.keywordAuthorultrasound-
dc.identifier.urlhttps://ieeexplore.ieee.org/document/7906622-
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