Automatic spinal deformity detection based on neural network
We propose a technique for automatic spinal deformity detection method from moiré topographic images. Normally the moiré stripes show a symmetric pattern, as a human body is almost symmetric. According to the progress of the deformity of a spine, asymmetry becomes larger. Numerical representation...
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| Format: | Book Section |
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Springer
2003
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| Online Access: | http://eprints.utm.my/7146/ https://link.springer.com/chapter/10.1007%2F978-3-540-39899-8_98 |
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| _version_ | 1845471754450894848 |
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| author | Kim, Hyoungseop Ishikawa, Seiji Khalid, Marzuki Otsuka, Yoshinori Shimizu, Hisashi Nakada, Yasuhiro Shinomiya, Takasi Viergever, Max A. |
| author2 | Ellis, R.E. |
| author_facet | Ellis, R.E. Kim, Hyoungseop Ishikawa, Seiji Khalid, Marzuki Otsuka, Yoshinori Shimizu, Hisashi Nakada, Yasuhiro Shinomiya, Takasi Viergever, Max A. |
| author_sort | Kim, Hyoungseop |
| building | UTM Library |
| collection | Institutional Repository |
| content_provider | Universiti Teknologi Malaysia |
| content_source | UTM Institutional Repository |
| continent | Asia |
| country | Malaysia |
| description | We propose a technique for automatic spinal deformity detection method from moiré topographic images. Normally the moiré stripes show a symmetric pattern, 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. Displacement of local centroids is evaluated statistically between the left-hand side and the right-hand side regions of the moiré images with respect to the extracted middle line. The degree of the displacement learned by a neural network employing the back propagation algorithm. An experiment was performed employing 1,200 real moiré images (600 normal and 600 abnormal) and 89% of the images were classified correctly by the NN. |
| format | Book Section |
| id | my.utm.eprints-7146 |
| institution | Universiti Teknologi Malaysia |
| publishDate | 2003 |
| publisher | Springer |
| record_format | eprints |
| spelling | my.utm.eprints-71462017-07-25T04:11:58Z http://eprints.utm.my/7146/ Automatic spinal deformity detection based on neural network Kim, Hyoungseop Ishikawa, Seiji Khalid, Marzuki Otsuka, Yoshinori Shimizu, Hisashi Nakada, Yasuhiro Shinomiya, Takasi Viergever, Max A. QA75 Electronic computers. Computer science We propose a technique for automatic spinal deformity detection method from moiré topographic images. Normally the moiré stripes show a symmetric pattern, 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. Displacement of local centroids is evaluated statistically between the left-hand side and the right-hand side regions of the moiré images with respect to the extracted middle line. The degree of the displacement learned by a neural network employing the back propagation algorithm. An experiment was performed employing 1,200 real moiré images (600 normal and 600 abnormal) and 89% of the images were classified correctly by the NN. Springer Ellis, R.E. Peters, T.M. 2003 Book Section PeerReviewed Kim, Hyoungseop and Ishikawa, Seiji and Khalid, Marzuki and Otsuka, Yoshinori and Shimizu, Hisashi and Nakada, Yasuhiro and Shinomiya, Takasi and Viergever, Max A. (2003) Automatic spinal deformity detection based on neural network. In: Medical Image Computing and Computer-Assisted Intervention. Lecture Notes in Computer Science, 2878 . Springer, Verlag Berlin Heidelberg, pp. 802-809. ISBN 978-3-540-20462-6 https://link.springer.com/chapter/10.1007%2F978-3-540-39899-8_98 |
| spellingShingle | QA75 Electronic computers. Computer science Kim, Hyoungseop Ishikawa, Seiji Khalid, Marzuki Otsuka, Yoshinori Shimizu, Hisashi Nakada, Yasuhiro Shinomiya, Takasi Viergever, Max A. Automatic spinal deformity detection based on neural network |
| title | Automatic spinal deformity detection based on neural network
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| title_full | Automatic spinal deformity detection based on neural network
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| title_fullStr | Automatic spinal deformity detection based on neural network
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| title_full_unstemmed | Automatic spinal deformity detection based on neural network
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| title_short | Automatic spinal deformity detection based on neural network
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| title_sort | automatic spinal deformity detection based on neural network |
| topic | QA75 Electronic computers. Computer science |
| url | http://eprints.utm.my/7146/ https://link.springer.com/chapter/10.1007%2F978-3-540-39899-8_98 |
| url_provider | http://eprints.utm.my/ |