주제분류
Best논문
매거진(잡지)
저널∙발행기관
idea
크롬 서지관리 다운로드정기구독(개인)
소속 기관이 없으신 경우, 개인 정기구독을 하시면 저렴하게
논문을 무제한 열람 이용할 수 있어요.
회원혜택
로그인 회원이 가져갈 수 있는 혜택들을 확인하고 이용하세요.
아카루트
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
...
저널정보
- Korean Institute of Information Scientists and Engineers
- Journal of Computing Science and Engineering 학술저널
- Journal of Computing Science and Engineering Vol.17 No.3
- 2023.9 117 - 126 (10page)
- DOI : 10.5626/JCSE.2023.17.3.117
- 이용수
- 내서재
- 0
내서재에 추가
되었습니다. 내서재에서
삭제되었습니다.
되었습니다. 내서재에서
삭제되었습니다.
내서재에 추가
되었습니다. 내서재에서
삭제되었습니다.
되었습니다. 내서재에서
삭제되었습니다.
초록·키워드
오류제보하기
This study presents a method for diagnosing fatty liver disease by using time-difference liver computed tomography (CT) images of the same patient to perform segmentation and rigid registration on liver regions, excluding the vascular regions. The proposed method comprises three main steps. First, the liver region is segmented in the precontrast phase, and the liver and liver vessel regions are segmented in the portal phase. Second, rigid registration is performed between the liver regions to align the liver positions affected by the patient"s posture or breathing. Finally, fatty liver diagnosis is performed with the average Hounsfield unit (HU) value calculated using only the area removed from the vessel area segmented in the portal phase after registration in the precontrast liver area. The mean distance error between the points corresponding to the liver boundary was 3.136 mm and the mean error between the anatomic landmarks was 4.166 mm. A fatty liver diagnosis was confirmed in a total of 18 cases, and the results were identical to the histology results. This technique may be valuable in clinically diagnosing fatty liver using liver CT imaging, which is widely available and more commonly used than abdominal magnetic resonance.
목차
Abstract
I. INTRODUCTION
II. METHODS
III. EXPERIMENTS AND RESULTS
IV. DISCUSSION
REFERENCES
참고문헌 (26)
참고문헌 신청
Z. M. Younossi, A. B. Koenig, D. Abdelatif, Y. Fazel, L. Henry, and M. Wymer, “Global epidemiology of nonalcoholic fatty liver disease: meta‐analytic assessment of prevalence, incidence, and outcomes,” Hepatology, vol. 64, no. 1, pp. 73-84, 2016. https://
C. Caussy, S. B. Reeder, C. B. Sirlin, and R. Loomba, “Noninvasive, quantitative assessment of liver fat by MRIPDFF as an endpoint in NASH trials,” Hepatology, vol. 68, no. 2, pp. 763-772, 2018. https://doi.org/10.1002/hep.29797
I. S. Idilman, H. Aniktar, R. Idilman, G. Kabacam, B. Savas, A. Elhan, A. Celik, and K. Bahar, and M. Karcaaltincaba, “Hepatic steatosis: quantification by proton density fat fraction with MR imaging versus liver biopsy,” Radiology, vol. 267, no. 3, pp. 7
E. Goceri, Z. K. Shah, R. Layman, X. Jiang, and M. N. Gurcan, “Quantification of liver fat: a comprehensive review,” Computers in Biology and Medicine, vol. 71, pp. 174-189, 2016. https://doi.org/10.1016/j.compbiomed.2016.02.013
J. Starekova, D. Hernando, P. J. Pickhardt, and S. B. Reeder, “Quantification of liver fat content with CT and MRI: state of the art,” Radiology, vol. 301, no. 2, pp. 250-262, 2021. https://doi.org/10.1148/radiol.2021204288
C. Caussy, S. B. Reeder, C. B. Sirlin, and R. Loomba, “Noninvasive, quantitative assessment of liver fat by MRIPDFF as an endpoint in NASH trials,” Hepatology, vol. 68, no. 2, pp. 763-772, 2018. https://doi.org/10.1002/hep.29797
I. S. Idilman, H. Aniktar, R. Idilman, G. Kabacam, B. Savas, A. Elhan, A. Celik, and K. Bahar, and M. Karcaaltincaba, “Hepatic steatosis: quantification by proton density fat fraction with MR imaging versus liver biopsy,” Radiology, vol. 267, no. 3, pp. 7
E. Goceri, Z. K. Shah, R. Layman, X. Jiang, and M. N. Gurcan, “Quantification of liver fat: a comprehensive review,” Computers in Biology and Medicine, vol. 71, pp. 174-189, 2016. https://doi.org/10.1016/j.compbiomed.2016.02.013
J. Starekova, D. Hernando, P. J. Pickhardt, and S. B. Reeder, “Quantification of liver fat content with CT and MRI: state of the art,” Radiology, vol. 301, no. 2, pp. 250-262, 2021. https://doi.org/10.1148/radiol.2021204288
함께 읽어보면 좋을 논문
논문 유사도에 따라 DBpia 가 추천하는 논문입니다. 함께 보면 좋을 연관 논문을 확인해보세요!
-
A Fuzzy Decision Support System for Diagnosis of Some Liver Diseases in Educational Medical Institutions
INTERNATIONAL JOURNAL of FUZZY LOGIC and INTELLIGENT SYSTEMS
2020.12
-
Current Understanding of Stem Cell and Secretome Therapies in Liver Diseases
조직공학과 재생의학
2017.01
-
성인 남성에서 진단된 지방간 정도와 혈액학적 검사 및비만지표의 상관관계
방사선산업학회지
2021.01
-
Liver Organoids: Formation Strategies and Biomedical Applications
조직공학과 재생의학
2021.01
-
지방간 진단에 있어 초음파 검사의 임상적 유용성 연구
한국방사선학회 논문지
2019.01
-
딥러닝을 이용한 CT 영상의 간과 종양 분할과 홀로그램 시각화 기법 연구
멀티미디어학회논문지
2022.05
-
ROI-based Fully Automated Liver Registration in Multi-phase CT Images
제어로봇시스템학회 국제학술대회 논문집
2018.10
-
Development and Usability Testing of a User-Centered 3D Virtual Liver Surgery Planning System
대한인간공학회지
2017.02
-
Liver Segmentation and 3D Modeling from Abdominal CT Images
스마트미디어저널
2016.03
-
복부 CT 영상에서 정확한 간 혈관 구조 분석 기법
한국차세대컴퓨팅학회 논문지
2015.01
-
Fatty Liver 환자의 컴퓨터단층촬영 영상을 이용한 질감특징분석
한국방사선학회 논문지
2016.01
-
Gaining New Biological and Therapeutic Applications into the Liver with 3D In Vitro Liver Models
조직공학과 재생의학
2020.01
-
PET-CT 검사에서 지방간의 <sup>18</sup>FDG 섭취율과 CT Number의 관련성 연구
한국방사선학회 논문지
2018.01
-
Three Dimensional Bioprinting for Hepatic Tissue Engineering: From In Vitro Models to Clinical Applications
조직공학과 재생의학
2024.01
-
From genome sequencing to the discovery of potential biomarkers in liver disease
BMB Reports
2020.01
-
Automatic Extraction of Liver Region from Medical Images by Using an MFUnet
스마트미디어저널
2020.01
-
Protein phosphatases regulate the liver microenvironment in the development of hepatocellular carcinoma
Experimental and Molecular Medicine
2022.11
-
Liver progenitor cell-driven liver regeneration
Experimental and Molecular Medicine
2020.08
-
초음파검사를 통한 간 섬유화 병기단계 평가 : 조직검사결과 기준으로
한국방사선학회 논문지
2019.01
이 논문의 저자 정보
최근 본 자료
댓글(0)
0
UCI(KEPA) : I410-151-24-02-088308109
