Segmentation of Acetabular Cartilage in CT Arthrography using Probabilistic Atlas Spatially Normalized by Pelvic Shape
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概要
- 論文の詳細を見る
In this paper, we proposed a new hybrid algorithm to segment acetabular cartilage in the hip joint. This statistical and anatomical information based algorithm is incorporated into a two-step system: pelvis bone segmentation using predictive statistical shape model and acetabular cartilage extraction based on probabilistic atlas and position of pelvis bone. We evaluated our new hybrid algorithm using enhanced Computed Tomography (CT) images by injecting the contrast media to the hip joint that were acquired at Osaka University Hospital. The mean and standard deviation of obtained results are 0.8 and 0.54 mm, respectively.
- 一般社団法人電子情報通信学会の論文
- 2013-05-17
著者
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Zoroofi Reza
Control And Intelligent Processing Center Of Excellence School Of Electrical And Computer Engineerin
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NISHII Takashi
Graduate School of Medicine, Osaka University
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Tamura Satoru
Graduate School Of Pharmaceutical Sciences Osaka University
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Yoshikawa Hideki
Graduate School Of Engineering Osaka University
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ZOROOFI Reza
Control and Intelligent Processing Center of Excellence, School of Electrical and Computer Engineering, University of Tehran
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Sato Yoshinobu
Graduate School of Medicine Osaka
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Tabrizi Pooneh
Control and Intelligent Processing Center of Excellence, School of Electrical and Computer Engineering, University of Tehran
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Yokota Futoshi
Graduate School of Engineering, Kobe University
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Okada Toshiyuki
Graduate School of Medicine, Osaka University
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Nakanishi Yuki
Graduate School of System Informatics, Kobe University
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Tomiyama Noriyuki
Graduate School of Medicine, Osaka University
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Tamura Satoru
Graduate School of Medicine, Osaka University
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