Classification of Liver Segments based on Blood Vessel Information using the Portal Phase of a CT Dataset
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概要
- 論文の詳細を見る
At planning of liver transplantation, classification of liver segments can be helpful for surgeons. We propose a method to classify the liver into eight segments. The portal and hepatic veins were extracted. Liver is segmented based on blood vessel information. Analyses of the portal and hepatic veins are performed to identify each of them. Portal and hepatic veins and the inferior vena cava are used to construct separation planes of the eight segments.
- 2012-01-12
著者
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Shimada Mitsuo
Institute Of Health Biosciences The University Of Tokushima. Graduate School
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Moriyama N
National Cancer Research Center For Cancer Prevention And Screening
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Moriyama Noriyuki
National Cancer Center Tokyo Jpn
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Maklad Ahmed
System Innovation Engineering Graduate School Of Advanced Technology And Science The University Of T
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Kawata Yoshiki
Institute of Technology and Science, the University of Tokushima
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Niki Noboru
Institute of Technology and Science, the University of Tokushima
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Niki N
Institute Of Technology And Science The University Of Tokushima
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Kawata Yoshiki
Institute Of Technology And Science The University Of Tokushima
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Kawata Yoshiki
Dept. Of Optical Science University Of Tokushima
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Matsuhiro Mikio
System Innovation Engineering Graduate School Of Advanced Technology And Science The University Of T
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Kishi Yoshifumi
System Innovation Engineering Graduate School Of Advanced Technology And Science The University Of T
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Utsunomiya Toru
Institute Of Health Biosciences The University Of Tokushima. Graduate School
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Suzuki Hidenobu
Systems Innovation Engineering Graduate School Of Advanced Technology And Science The University Of
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Shimada Mitsuo
Department Of Surgery Institute Of Health Bioscience The University Of Tokushima
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Suzuki Hidenobu
Institute Of Technology And Science The University Of Tokushima
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Moriyama Noriyuki
Institute of Health Biosciences, the University of Tokushima
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Utsunomiya Toru
Institute Of Health Biosciences The University Of Tokushima
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Moriyama Noriyuki
Screening Technology And Development Division Research Center For Cancer Prevention And Screening National Cancer Center
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