Cervical Spine Range of Motion Measurement Utilizing Image Analysis

Kana Matsuo, Koji Fujita, Takafumi Koyama, Shingo Morishita, Yuta Sugiura

2022

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.

Paper Citation

in Harvard Style

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 (VISIGRAPP 2022) - Volume 4: VISAPP; ISBN 978-989-758-555-5, SciTePress, pages 861-867. DOI: 10.5220/0010819400003124

in Bibtex Style

@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 (VISIGRAPP 2022) - Volume 4: VISAPP},
year={2022},
pages={861-867},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010819400003124},
isbn={978-989-758-555-5},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 17th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2022) - Volume 4: VISAPP
TI - Cervical Spine Range of Motion Measurement Utilizing Image Analysis
SN - 978-989-758-555-5
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
PB - SciTePress