Feasibility of a Curvature-based Enhanced Display System for Detecting Cerebral Aneurysms in MR Angiography
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概要
- 論文の詳細を見る
Purpose: To assess the feasibility of a curvature-based enhanced display system for detecting cerebral aneurysms in MR angiography. Methods: MR angiography studies of 18 patients (eight male and 10 female, average age 65.7, age range 50 to 75 years old) with 23 known aneurysms were evaluated with a curvature-based display system. The two curvature features—the volumetric shape index and curvedness values—were calculated at each voxel. These were displayed independently on a workstation, overlaid on volume-rendered images. Two neuroradiologists evaluated the images for visibility and diagnosis of the cerebral aneurysms. The diagnostic results were compared with the original reports. Results: The calculation time for each curvature index was 30 to 40 s for 120 to 140 slices of original MR angiography data. Shape index images emphasized smooth and round aneurysms more than aneurysms with irregular surfaces. Curvedness images revealed aneurysms well when the aneurysms had diameters that differed from those of the surrounding vessels. The computer-assisted-detection method detected 24 aneurysms, three of which were not pointed out in the initial report. Conclusion: Our results show that the curvature-based display system we have developed is feasible and that it may help to detect small aneurysms that are prone to be overlooked in routine readings.
- 日本磁気共鳴医学会の論文
- 2003-04-01
著者
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大友 邦
山梨大学 医学部放射線科
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Abe Osamu
Department of Pediatrics, Nihon University School of Medicine
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Ohtomo Kuni
Department Of Radiology Faculty Of Medicine University Of Tokyo
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Ohtomo Kuni
Department Of Radiology School Of Medicine The University Of Tokyo
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Ohtomo Kuni
Ntt東日本関東病院
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Abe Osamu
Department Of Radiology The University Of Tokyo
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KUNIMATSU Akira
Department of Radiology, University of Tokyo Hospital
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HAYASHI Naoto
Department of Radiology, Graduate School of Medicine, University of Tokyo
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AOKI Shigeki
Department of Radiology, The University of Tokyo Hospital
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MASUTANI Yoshitaka
Department of Radiology, The University of Tokyo Hospital
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MASUMOTO Tomohiko
Department of Radiology, The University of Tokyo Hospital
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MORI Harushi
Department of Radiology, The University of Tokyo Hospital
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TAKANO Naoki
ZIOSOFT Incorporated
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MATSUMOTO Kazuhiko
ZIOSOFT Incorporated
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青木 茂樹
Department Of Radiology Juntendo University School Of Medicine
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Ohtomo Kuni
Department Of Radiology Graduate School Of Medicine University Of Tokyo
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Ohtomo Kuni
Department Of Radiology The University Of Tokyo Graduate School Of Medicine
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Ohtomo Kuni
Department Of Radiology Faculty Of Medicin University Of Tokyo
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Mori Harushi
Department Of Radiology The University Of Tokyo Hospital
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Mori Harushi
Department Of Radiology Graduate School Of Medicine University Of Tokyo
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Hayashi Naoto
Department Of Computational Diagnostic Radiology And Preventive Medicine The University Of Tokyo
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Hayashi Naoto
Department Of Radiology Faculty Of Medicine University Of Tokyo
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Kunimatsu Akira
Department Of Psychiatry National Center Hospital For Mental Nervous And Muscular Disorders National
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Abe Osamu
Department Of General Pediatrics Nihon University Nerima Hikarigaoka Hospital Nihon University Schoo
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Aoki Shigeki
Department Of Radiology Juntendo University School Of Medicine
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Kunimatsu Akira
Department Of Materials Science And Engineering Faculty Of Engineering Yamagata University
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Masumoto Tomohiko
Department Of Radiology The University Of Tokyo Hospital
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Masumoto Tomohiko
Department Of Radiology University Of Tokyo School Of Medicine
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Masumoto Tomohiko
Department Of Radiology University Of Tokyo
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増本 智彦
筑波大学大学院人間総合科学研究科
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Masutani Yoshitaka
Department Of Radiology The University Of Tokyo
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Aoki Shigeki
Department Of Radiology Faculty Of Medicine The University Of Tokyo
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Aoki Shigeki
Department Of Radiology Juntendo University
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Aoki Shigeki
Department Of Hepato-biliary-pancreatic Surgery Tokyo Medical And Dental University
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HAYASHI Naoto
Department of Chemistry, College of Arts and Sciences, The University of Tokyo
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MASUMOTO Tomohiko
Department of Intervention and Radiology, Faculty of Medicine, University of Tsukuba
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