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Authors: Kana Matsuo 1 ; Koji Fujita 2 ; Takafumi Koyama 3 ; Shingo Morishita 3 and Yuta Sugiura 1

Affiliations: 1 Department of Information and Computer Science, Keio University, Kanagawa, Japan ; 2 Department of Functional Joint Anatomy, Tokyo Medical and Dental University, Tokyo, Japan ; 3 Department of Orthopedic and Spinal Surgery, Tokyo Medical and Dental University, Tokyo, Japan

Keyword(s): Measurement System, Deep Learning, Cervical Spine, Range of Motion.

Abstract: Diseases of the cervical spine often cause more serious impediments to daily activities than diseases of other parts of the body, and thus require prompt and accurate diagnosis. One of the indicators used for diagnosing cervical spine diseases is measurements of the range of motion (RoM) angle. However, the main measurement method is manual, which creates a burden on physicians. In this work, we investigate the possibility of measuring the RoM angle of the cervical spine from cervical X-ray images by using Mask R-CNN and image processing. The results of measuring the RoM angle with the proposed cervical spine motion angle measurement system showed that the mean error from the true value was 3.5 degrees and the standard deviation was 2.8 degrees. Moreover, the standard deviation of the specialist measurements used for comparison was 2.9 degrees, while that of the proposed system was just 0 degrees, indicating that there was no variation in the measurements of the proposed system.

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Paper citation in several formats:
Matsuo, K.; Fujita, K.; Koyama, T.; Morishita, S. and Sugiura, Y. (2022). Cervical Spine Range of Motion Measurement Utilizing Image Analysis. In Proceedings of the 17th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 4: VISAPP, ISBN 978-989-758-555-5; ISSN 2184-4321, pages 861-867. DOI: 10.5220/0010819400003124

@conference{visapp22,
author={Kana Matsuo. and Koji Fujita. and Takafumi Koyama. and Shingo Morishita. and Yuta Sugiura.},
title={Cervical Spine Range of Motion Measurement Utilizing Image Analysis},
booktitle={Proceedings of the 17th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 4: VISAPP,},
year={2022},
pages={861-867},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010819400003124},
isbn={978-989-758-555-5},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the 17th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 4: VISAPP,
TI - Cervical Spine Range of Motion Measurement Utilizing Image Analysis
SN - 978-989-758-555-5
IS - 2184-4321
AU - Matsuo, K.
AU - Fujita, K.
AU - Koyama, T.
AU - Morishita, S.
AU - Sugiura, Y.
PY - 2022
SP - 861
EP - 867
DO - 10.5220/0010819400003124