An Automatic Colon Segmentation for 3D Virtual Colonoscopy
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概要
- 論文の詳細を見る
The first important step in pre-processing data for 3D virtual colonoscopy requires careful segmentation of a complicated shaped colon. We describe an automatic colon segmantation method with a new patient-friendly bowel preparation scheme. This new bowel preparation makes the segmentation more appropriate for digitally removing undesirable remains in the colon. With the aim of segmenting the colon accurately, we propose two techniques which can solve the partial-volume-effect (PVE) problem on the boundaries between low and high intensity regions. Based on the features of the adverse PVE voxels on the gas and fluid boundary inside the colon, our vertical filter eliminates these PVE voxels. By seriously considering the PVE on the colon boundary, our gradient-magnitude-based region growing algorithm improves the accuracy of the boundary. The result od the automatic colon segmentation method is illustrated with both extracted 2D images from the experimental volumetric abdominal CT datasets and a reconstructed 3D colon model.
- 社団法人電子情報通信学会の論文
- 2001-01-01
著者
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Kaufman A
State Univ. New York Ny Usa
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Kaufman Arie
Center For Visual Computing And Departments Of Computer Science And Radiology State University Of Ne
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SATO Mie
Graduate School of Information Science and Enginneering, Tokyo Institute of Technology,
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LAKARE Sarang
Center for Visual Computing and Departments of Computer Science and Radiology, State University of N
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WAN Ming
Center for Visual Computing and Departments of Computer Science and Radiology, State University of N
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LIANG Zhengrong
Center for Visual Computing and Departments of Computer Science and Radiology, State University of N
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WAX Mark
Center for Visual Computing and Departments of Computer Science and Radiology, State University of N
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Sato Mie
Graduate School Of Engineering Utsunomiya University
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Sato M
Graduate School Of Information Science And Enginneering Tokyo Institute Of Technology
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Wan Ming
Center For Visual Computing And Departments Of Computer Science And Radiology State University Of Ne
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Lakare Sarang
Center For Visual Computing And Departments Of Computer Science And Radiology State University Of Ne
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Liang Zhengrong
Center For Visual Computing And Departments Of Computer Science And Radiology State University Of Ne
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Sato Mie
Graduate school Engineering, Utsunomiya University
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