지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 저널정보
- Korean Institute of Information Scientists and Engineers Journal of Computing Science and Engineering Journal of Computing Science and Engineering Vol.17 No.3
- 발행연도
- 2023.9
- 수록면
- 117 - 126 (10page)
- DOI
- 10.5626/JCSE.2023.17.3.117
이용수
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
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