A novel automatic liver surface registration method using spherical harmonics (パターン認識・メディア理解)

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概要

• 論文の詳細を見る

• In 3-D Shape model using Spherical harmonics (SPHARM), alignment step is done by aligning the First-Order-Ellipsoid (FOE) between objects. If the 3-D shape is complex such as liver shape, the traditional method cannot find accurate transform. We propose a novel and automatic two-step registration method for liver applications in both object and parameter spaces. We first use Coherent Point Drift (CPD), to align the object, and the registered object is decomposed with SPHARM. Finally, we find the corresponding point between objects by minimizing the error function in the parameter space. Experimental results show that our surface alignment method is more accurate and flexible than the traditional approach for liver applications.

• 2009-05-21

著者

• Chen Yen-Wei

  College of Information and Science, Ristumeikan University

• SATO Yoshinobu

  Division of Image Analysis, Osaka University Graduate School of Medicine

• Hori Masatoshi

  Department of Veterinary Pharmacology, Graduate School of Agriculture and Life Sciences, University

• Sato Yoshinobu

  Division Of Image Analysis Graduate School Of Medicine Osaka University

• Chen Yen

  College Of Information Science And Engineering Ritsumeikan University

• Foruzan Amir.

  College Of Information Science And Engineering Ritsumeikan University:control And Intelligent Proces

• Mofrad Farshid

  College of Information and Science, Ristumeikan University

• Zoroofi Reza

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

• Tehrani-Fard Ali

  Faculty of Engineering, Science and Research Branch, Islamic Azad University

• Furukawa Akira

  Department of Radiology, Shiga University of Medical Science

• Yamamoto Shuji

  Research Center For Cancer Prevention And Screening National Cancer Center

• Chen Y‐w

  College Of Information Science And Engineering Ritsumeikan University

• Furukawa Akira

  Department Of Radiology Shiga University Of Medical Science

• Hori Masatoshi

  Department Of Radiology Graduate School Of Medicine Osaka University

• Hori Masatoshi

  池田市立池田病院 消化器科

• Mofrad Farshid

  College Of Information And Science Ristumeikan University:faculty Of Engineering Science And Researc

• Zoroofi Reza

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

• Tehrani-fard Ali

  Faculty Of Engineering Science And Research Branch Islamic Azad University:electrical And Electronic

• Zoroofi R

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

• Chen Yen-wei

  College Of Information And Science Ristumeikan University

• Chen Yen-wei

  College Of Information And Science Ritsumeikan University

• Sato Y

  Division Of Image Analysis Graduate School Of Medicine Osaka University

• Yamamoto Shuji

  大阪大学 医学系研究科保健学専攻

• Sato Yoshinobu

  Division Of Digestive And General Surgery Department Of Surgery Niigata University Graduate School O

• Furukawa Akira

  Department Of Chemical Pharmacology Toho University School Of Pharmaceutical Sciences

• Sato Yoshinobu

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

• Hori Masatoshi

  Department Of Radiology Osaka University Graduate School Of Medicine

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