Presentation 2006-11-13
Automated analysis of bone structures for anatomical structure recognitions on torso X-ray CT images
Shinpei KOJIMA, Xiangrong ZHOU, Takeshi KARA, Hiroshi FUJITA, Huayue CHEN, Ryoujirou YOKOYAMA, Hiroaki HOSHI,
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Abstract(in English) The automated anatomical structure recognition and organ region segmentations are very useful and necessary in computer-aided diagnosis system. Because the individual differences between different patient cases are very large and remarkable in the shape of the body surface, it serves as an important parameter which influences the processing for specifying the organ locations. We proposed a method to recognize superior thoracic aperture, inferior thoracic aperture, and gap between inguinal ligament and pelvic bone using the result of bone structure. This method was applied to 20 patient cases of torso CT images. We confirmed that Superior thoracic aperture was recognized correctly in 20 (100%) cases and Inferior thoracic aperture was 19 (95%) cases and Gap between inguinal ligament and pelvic bone was 16(80%) cases respectively by the proposed method. The location information can be offered to anatomy structural recognition in the circumference. We succeeded anatomy location information of the blood vessel in the neck and the pelvis and apply to diaphragm recognition.
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Keyword(in English) CAD / 3-D torso CT image / bone structure / anatomical structure
Paper # MI2006-77
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Committee MI
Conference Date 2006/11/6(1days)
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Registration To Medical Imaging (MI)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Automated analysis of bone structures for anatomical structure recognitions on torso X-ray CT images
Sub Title (in English)
Keyword(1) CAD
Keyword(2) 3-D torso CT image
Keyword(3) bone structure
Keyword(4) anatomical structure
1st Author's Name Shinpei KOJIMA
1st Author's Affiliation Department of Intelligent Image Information, Division of Regeneration and Advanced Medical Sciences, Graduate School of Medicine, Gifu University()
2nd Author's Name Xiangrong ZHOU
2nd Author's Affiliation Department of Intelligent Image Information, Division of Regeneration and Advanced Medical Sciences, Graduate School of Medicine, Gifu University
3rd Author's Name Takeshi KARA
3rd Author's Affiliation Department of Intelligent Image Information, Division of Regeneration and Advanced Medical Sciences, Graduate School of Medicine, Gifu University
4th Author's Name Hiroshi FUJITA
4th Author's Affiliation Department of Intelligent Image Information, Division of Regeneration and Advanced Medical Sciences, Graduate School of Medicine, Gifu University
5th Author's Name Huayue CHEN
5th Author's Affiliation Department of Anatomy, Division of Tumor Control, Graduate School of Medicine, Gifu University
6th Author's Name Ryoujirou YOKOYAMA
6th Author's Affiliation Department of Radiology, Gifu University School of Medicine and University Hospital
7th Author's Name Hiroaki HOSHI
7th Author's Affiliation Department of Radiology, Division of Tumor Control, Graduate School of Medicine, Gifu University
Date 2006-11-13
Paper # MI2006-77
Volume (vol) vol.106
Number (no) 343
Page pp.pp.-
#Pages 6
Date of Issue