A Hybrid Technique for Thickness-Map Visualization of the Hip Cartilages in MRI

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概要

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• Quantification of the hip cartilages is clinically important. In this study, we propose an automatic technique for segmentation and visualization of the acetabular and femoral head cartilages based on clinically obtained multi-slice T1-weighted MR data and a hybrid approach. We follow a knowledge based approach by employing several features such as the anatomical shapes of the hip femoral and acetabular cartilages and corresponding image intensities. We estimate the center of the femoral head by a Hough transform and then automatically select the volume of interest. We then automatically segment the hip bones by a self-adaptive vector quantization technique. Next, we localize the articular central line by a modified canny edge detector based on the first and second derivative filters along the radial lines originated from the femoral head center and anatomical constraint. We then roughly segment the acetabular and femoral head cartilages using derivative images obtained in the previous step and a top-hat filter. Final masks of the acetabular and femoral head cartilages are automatically performed by employing the rough results, the estimated articular center line and the anatomical knowledge. Next, we generate a thickness map for each cartilage in the radial direction based on a Euclidian distance. Three dimensional pelvic bones, acetabular and femoral cartilages and corresponding thicknesses are overlaid and visualized. The techniques have been implemented in C++ and MATLAB environment. We have evaluated and clarified the usefulness of the proposed techniques in the presence of 40 clinical hips multi-slice MR images.

• （社）電子情報通信学会の論文
• 2009-11-01

著者

• 山本 修司

  国立がんセンター がん予防・検診研究センター

• Sato Yoshinobu

  Division Of Image Analysis Graduate School Of Medicine Osaka University

• SATO Yoshinobu

  Department of Chemistry, Faculty of Science and Engineering, Sophia University

• KHANMOHAMMADI Mahdieh

  Control and Intelligent Processing Center of Excellence, School of Electrical and Computer Engineeri

• NISHII Takashi

  Department of Orthopedic Surgery, Osaka University, Graduate School of Medicine

• TANAKA Hisashi

  Department of Radiology, Osaka University, Graduate School of Medicine

• Yamamoto Shuji

  Research Center For Cancer Prevention And Screening National Cancer Center

• Nishii Takashi

  Department Of Orthopaedic Medical Engineering Osaka University Graduate School Of Medicine

• Khanmohammadi Mahdieh

  Univ. Tehran Tehran Irn

• Tanaka Hisashi

  Department Of Radiology Graduate School Of Medicine Osaka University

• Sato Y

  Division Of Image Analysis Graduate School Of Medicine Osaka University

• Khanmohammadi Mahdieh

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

• Yamamoto Shuji

  大阪大学 医学系研究科保健学専攻

• Tanaka Hisashi

  Department Of Radiology Osaka University Graduate School Of Medicine

• AGHAIEZADEH ZOROOFI

  Control and Intelligent Processing Center of Excellence, School of Electrical and Computer Engineeri

• Aghaiezadeh Zoroofi

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

• Sato Yoshinobu

  Department Of Chemical Engineering Osaka Prefecture University

• Sato Yoshinobu

  Division Of Image Analysis Department Of Medical Engineering Osaka University Graduate School Of Med

• Tanaka Hisashi

  Department Of Diagnostic Radiology University Of Rochester Medical Center

• Sato Yoshinobu

  Department of Applied Physics,School of Engineering,Nagoya University

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