Presentation 2002/12/6
Automatic Scoliosis Detection Based on Discriminant Analysis
Hyoungseop KIM, Satoshi NUMATA, Seiji ISHIKAWA, Yoshinori OTSUKA, Hisashi SHIMIZU, Takashi SHINOMIYA,
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Abstract(in English) In this paper, we propose a technique for automatic scoliosis detection from moire topographic images. Normally the moire stripes show symmetry as a human body is almost symmetric. According to the progress of the deformity of a spine, asymmetry becomes larger. Numerical representation of the degree of asymmetry is therefore useful in evaluating the deformity. First, displacement of local centroids and difference of gray values are evaluated statistically between the left-and the right-hand side regions of the moire images with respect to the extracted middle line. We classify the moire images into two categories i.e., normal and abnormal cases from the features, employing discriminant analysis. An experiment was performed employing 1,200 moire images (600 normal, 600 abnormal) and 84.72% of the images were classified correctly.
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Keyword(in English) moire topographic images / potential symmetry / scoliosis
Paper # MBE2002-79
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Committee MBE
Conference Date 2002/12/6(1days)
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Registration To ME and Bio Cybernetics (MBE)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Automatic Scoliosis Detection Based on Discriminant Analysis
Sub Title (in English)
Keyword(1) moire topographic images
Keyword(2) potential symmetry
Keyword(3) scoliosis
1st Author's Name Hyoungseop KIM
1st Author's Affiliation Faculty of Engineering, Kyushu Institute of Technology()
2nd Author's Name Satoshi NUMATA
2nd Author's Affiliation Faculty of Engineering, Kyushu Institute of Technology
3rd Author's Name Seiji ISHIKAWA
3rd Author's Affiliation Faculty of Engineering, Kyushu Institute of Technology
4th Author's Name Yoshinori OTSUKA
4th Author's Affiliation Chiba Higashi Hospital
5th Author's Name Hisashi SHIMIZU
5th Author's Affiliation Chiba Health Care Association
6th Author's Name Takashi SHINOMIYA
6th Author's Affiliation Nikon Digital Technologies Co., Ltd.
Date 2002/12/6
Paper # MBE2002-79
Volume (vol) vol.102
Number (no) 507
Page pp.pp.-
#Pages 4
Date of Issue