작성자 M.I.D
[논문] Intracerebral Hemorrhage Auto Recognition in Computed Tomography …
본문
Intracerebral Hemorrhage Auto Recognition in Computed Tomography Images
(CT 영상에서의 뇌출혈 자동인식)
Journal of radiological science and technology (대한방사선기술학회지:방사선기술과학)
Volume 36 Issue 2 / Pages.141-148 / 2013 / 2288-3509(pISSN) / 2384-1168(eISSN)
Korean Society of Radiological Science (대한방사선과학회)
최석윤 / Choi, Seok-Yoon (Department of Radiological Science, Catholic University of Pusan) ; 강세식 / Kang, Se-Sik (Department of Radiological Science, Catholic University of Pusan) ; 김창수 / Kim, Chang-Soo (Department of Radiological Science, Catholic University of Pusan) ; 김정훈 / Kim, Jung-Hoon (Department of Radiological Science, Catholic University of Pusan) ; 김동현 / Kim, Dong-Hyun (Department of Radiological Science, Catholic University of Pusan) ; 예수영 / Ye, Soo-Young (Department of Radiological Science, Catholic University of Pusan) ; 고성진 / Ko, Seong-Jin (Department of Radiological Science, Catholic University of Pusan)
The CT examination sometimes fail to localize the cerebral hemorrhage part depending on the seriousness and may embarrass the pathologist if he/she is not trained enough for emergencies. Therefore, an assisting role is necessary for examination, automatic and quick detection of the cerebral hemorrhage part, and supply of the quantitative information in emergencies. the computer based automatic detection and recognition system may be of a great service to the bleeding part detection. As a result of this research, we succeeded not only in automatic detection of the cerebral hemorrhage part by grafting threshold value handling, morphological operation, and roundness calculation onto the bleeding part but also in development of the PCA based classifier to screen any wrong choice in the detection candidate group. We think if we apply the new developed system to the cerebral hemorrhage patient in his critical condition, it will be very valuable data to the medical team for operation planning.
(CT 영상에서의 뇌출혈 자동인식)
Journal of radiological science and technology (대한방사선기술학회지:방사선기술과학)
Volume 36 Issue 2 / Pages.141-148 / 2013 / 2288-3509(pISSN) / 2384-1168(eISSN)
Korean Society of Radiological Science (대한방사선과학회)
최석윤 / Choi, Seok-Yoon (Department of Radiological Science, Catholic University of Pusan) ; 강세식 / Kang, Se-Sik (Department of Radiological Science, Catholic University of Pusan) ; 김창수 / Kim, Chang-Soo (Department of Radiological Science, Catholic University of Pusan) ; 김정훈 / Kim, Jung-Hoon (Department of Radiological Science, Catholic University of Pusan) ; 김동현 / Kim, Dong-Hyun (Department of Radiological Science, Catholic University of Pusan) ; 예수영 / Ye, Soo-Young (Department of Radiological Science, Catholic University of Pusan) ; 고성진 / Ko, Seong-Jin (Department of Radiological Science, Catholic University of Pusan)
The CT examination sometimes fail to localize the cerebral hemorrhage part depending on the seriousness and may embarrass the pathologist if he/she is not trained enough for emergencies. Therefore, an assisting role is necessary for examination, automatic and quick detection of the cerebral hemorrhage part, and supply of the quantitative information in emergencies. the computer based automatic detection and recognition system may be of a great service to the bleeding part detection. As a result of this research, we succeeded not only in automatic detection of the cerebral hemorrhage part by grafting threshold value handling, morphological operation, and roundness calculation onto the bleeding part but also in development of the PCA based classifier to screen any wrong choice in the detection candidate group. We think if we apply the new developed system to the cerebral hemorrhage patient in his critical condition, it will be very valuable data to the medical team for operation planning.