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

• Zoroofi Reza

  Control And Intelligent Processing Center Of Excellence School Of Electrical And Computer Engineerin

• NISHII Takashi

  Graduate School of Medicine, Osaka University

• Tamura Satoru

  Graduate School Of Pharmaceutical Sciences Osaka University

• Yoshikawa Hideki

  Graduate School Of Engineering Osaka University

• Sato Yoshinobu

  Graduate School of Medicine Osaka

• Tabrizi Pooneh

  Control and Intelligent Processing Center of Excellence, School of Electrical and Computer Engineering, University of Tehran

• Yokota Futoshi

  Graduate School of Engineering, Kobe University

• Okada Toshiyuki

  Graduate School of Medicine, Osaka University

• Nakanishi Yuki

  Graduate School of System Informatics, Kobe University

• Tomiyama Noriyuki

  Graduate School of Medicine, Osaka University

• Tamura Satoru

  Graduate School of Medicine, Osaka University

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