DC Field | Value | Language |
---|---|---|
dc.contributor.advisor | Bae, Hyeon-Min | - |
dc.contributor.advisor | 배현민 | - |
dc.contributor.author | Kim, Myeong-Gee | - |
dc.date.accessioned | 2023-06-23T19:33:51Z | - |
dc.date.available | 2023-06-23T19:33:51Z | - |
dc.date.issued | 2022 | - |
dc.identifier.uri | http://library.kaist.ac.kr/search/detail/view.do?bibCtrlNo=1007941&flag=dissertation | en_US |
dc.identifier.uri | http://hdl.handle.net/10203/309127 | - |
dc.description | 학위논문(박사) - 한국과학기술원 : 전기및전자공학부, 2022.8,[v, 41 p. :] | - |
dc.description.abstract | Absorption coefficient (AC) quantification methods in medical ultrasound (US) are effective for objective routine diagnosis of hepatic steatosis and liver disease. In this paper, we present various learning-based methods to quantify the biomechanical property of the tissue, and introduce clinical solutions for diagnosing hepatic steatosis and liver disease through these methods. First, a method for measuring the AC characteristics of the tissue within a user-specified area is presented. Second, a method to extract the AC of liver parenchyma insensitive to the measured ultrasound view is introduced. Third, a method of reconstructing the spatial characteristic of the target region into a two-dimensional image is suggested. The performance of the proposed methods are verified through simulation and clinical tests. These results demonstrate the clinical potential of the proposed learning-based quantification methods as a new standard for diagnosing hepatic steatosis and liver disease. | - |
dc.language | eng | - |
dc.publisher | 한국과학기술원 | - |
dc.subject | Fatty liver▼aattenuation coefficient▼aquantitative ultrasound▼aabdominal ultrasound▼amedical ultrasound▼adeep neural network | - |
dc.subject | 지방간 진단▼a감쇠 계수▼a정량적 초음파▼a복부 초음파▼a의료용 초음파▼a심층 신경망 | - |
dc.title | Learning-based fatty liver diagnosis method | - |
dc.title.alternative | 인공지능 기반의 지방간 진단 기법 | - |
dc.type | Thesis(Ph.D) | - |
dc.identifier.CNRN | 325007 | - |
dc.description.department | 한국과학기술원 :전기및전자공학부, | - |
dc.contributor.alternativeauthor | 김명기 | - |
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