An atlas-driven approach for automated recognition of liver structure in non-contrasted torso CT images
スポンサーリンク
概要
- 論文の詳細を見る
In this paper, we propose an atlas-driven approach for fully-automated segmentation of liver region in non-contrast x-ray torso CT images. This approach was composed by two steps; one is automated estimation of the liver probability that show the location and density (CT number) of the liver in CT images. The probability of the liver on the spatial location was constructed by a number of CT scans in which the liver regions were pre-segmented manually. Another step is automated segmentation of liver region based on liver probability. The proposed approach was used for automated liver segmentation from a number of non-contrast CT images.
- 社団法人電子情報通信学会の論文
- 2007-01-20
著者
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Fujita Hiroshi
Department of Transfusion Medicine, Tokyo Metropolitan Bokutoh Hospital
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Kondo Hiroshi
Dept. Of Radiology Graduate School Of Medicine Gifu University
-
Zhou Xiangrong
Department of Intelligent Image Information, Division of Regeneration and Advanced Medical Science,
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Hara Takeshi
Department Of Intelligent Image Information Division Of Regeneration And Advanced Medical Sciences G
-
Hara Takeshi
Graduate School Of Medicine Gifu University
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Fujita Hiroshi
Department Of Cardiology Kyoto Second Red Cross Hospital
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Fujita Hiroshi
Department Of Intelligent Image Information Division Of Regeneration And Advanced Medical Sciences G
-
KONDO Hiroshi
Department of Civil Engineering, School of Engineering
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KANEMATSU Masayuki
Department of Radiology, Gifu University School of Medicine
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HOSHI Hiroaki
Department of Radiology, Gifu University School of Medicine
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YOKOYAMA Ryujiro
Department of Intelligent Image Information, Graduate School of Medicine, Gifu University
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Hoshi Hiroaki
Gifu Univ. Graduate School Of Medicine Gifu Jpn
-
Kitagawa Teruhiko
Department of Intelligent Image Information, Division of Regeneration and Advanced Medical Science,
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Kawajiri Suguru
Department of Intelligent Image Information, Division of Regeneration and Advanced Medical Science,
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Zhang Xuejung
Department of Intelligent Image Information, Division of Regeneration and Advanced Medical Science,
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Yokoyama Ryujiro
Department Of Intelligent Image Information Graduate School Of Medicine Gifu University
-
Fujita H
Department Of Intelligent Image Information Division Of Regeneration And Advanced Medical Sciences G
-
Fujita Hiroshi
Dept. Of Intelligent Image Information Graduate School Of Medicine Gifu University
-
Zhang X
Department Of Intelligent Image Information Division Of Regeneration And Advanced Medical Science Gr
-
Hara T
Department Of Intelligent Image Information Division Of Regeneration And Advanced Medical Sciences G
-
Hoshi Hiroaki
Dept. Of Radiology Graduate School Of Medicine Gifu University
-
Hoshi H
Department Of Radiology Miyazaki Medical College
-
Hoshi Hiroaki
Department Of Radiology Gifu University
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KITAGAWA Teruhiko
Gifu National College of Technology
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KONDO Hiroshi
Faculty of Human Arts and Sciences, University of Human Arts and Sciences
-
Zhou Xiangrong
Department Of Intelligent Image Information Division Of Regeneration And Advanced Medical Sciences G
-
Zhou Xiangrong
Gifu Univ. Graduate School Of Medicine Gifu Jpn
-
Zhou Xiangrong
Department Of Intelligent Image Information Division Of Regeneration And Advanced Medical Science Gi
-
HAYASHI Hideki
Gifu Municipal Hospital
-
Kondo H
Faculty Of Human Arts And Sciences University Of Human Arts And Sciences
-
Kanematsu M
Dept. Of Radiology Graduate School Of Medicine Gifu University
-
Kanematsu Masayuki
Department Of Radiology Gifu University School Of Medicine
-
Zhang Xuejun
Fact. Of Eng. Gifu Univ
-
Kawajiri Suguru
Department Of Intelligent Image Information Division Of Regeneration And Advanced Medical Science Gr
-
Fujita Hiroshi
Graduate School Of Medicine Gifu University
-
Yokoyama Ryujiro
Department Of Radiology Gifu University School Of Medicine
-
Kitagawa Teruhiko
Department Of Intelligent Image Information Division Of Regeneration And Advanced Medical Science Gr
-
Hara Takeshi
Department Of Applied Chemistry Kyushu Institute Of Technology
-
Kondo Hiroshi
Department Of Agricultural Chemistry College Of Agriculture And Veterinary Medicine Nihon University
-
Hara Takeshi
Department Of Animal Resource Sciences Graduate School Of Agricultural And Life Sciences The Univers
-
Kato Hiroki
Department Of Radiology School Of Medicine Gifu University
-
Fujita Hiroshi
Department Of Applied Physics Faculty Of Engineering University Of Tokyo
-
Kanematsu Masayuki
Department Of Health Science Shiga University Of Medical Science
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