Myocardial Attenuation Quantification for Diagnosis of Ischemic Heart Disease

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dc.contributor.authorKim, Young-Minko
dc.contributor.authorJung, Gu-Ilko
dc.contributor.authorKim, Myeong-Geeko
dc.contributor.authorOh, Seok-Hwanko
dc.contributor.authorKwon, Hyuk-Soolko
dc.contributor.authorBae, Hyeon-Minko
dc.date.accessioned2022-12-22T03:02:23Z-
dc.date.available2022-12-22T03:02:23Z-
dc.date.created2022-12-21-
dc.date.created2022-12-21-
dc.date.issued2022-10-
dc.identifier.citation2022 IEEE International Ultrasonics Symposium, IUS 2022-
dc.identifier.issn1948-5719-
dc.identifier.urihttp://hdl.handle.net/10203/303493-
dc.description.abstractThe conventional ultrasonography demonstrates limited specificity for the diagnosis of ischemic heart disease (IHD) since the standard procedure relies on subjective decision criteria such as the thickness and the motion of the heart wall. Recent studies in IHD have demonstrated that necrosis of the myocardium leads to an increase in lipid fraction, resulting in decreased acoustic attenuation coefficient (AAC). In this paper, we propose a method of quantifying the degree of myocardial damage by using a quantitative heart imaging network (QHI-net). The proposed method enhances the accuracy of diagnosis and allows visual identification of the infarcted region.-
dc.languageEnglish-
dc.publisherIEEE Computer Society-
dc.titleMyocardial Attenuation Quantification for Diagnosis of Ischemic Heart Disease-
dc.typeConference-
dc.identifier.wosid000896080400224-
dc.identifier.scopusid2-s2.0-85143820114-
dc.type.rimsCONF-
dc.citation.publicationname2022 IEEE International Ultrasonics Symposium, IUS 2022-
dc.identifier.conferencecountryIT-
dc.identifier.conferencelocationVenice Convention Center-
dc.identifier.doi10.1109/IUS54386.2022.9957825-
dc.contributor.localauthorBae, Hyeon-Min-
dc.contributor.nonIdAuthorKwon, Hyuk-Sool-
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EE-Conference Papers(학술회의논문)
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