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Reference / 引用はこちら
Kana Matsuo, Koji Fujita, Takafumi Koyama, Shingo Morishita, Yuta Sugiura, Cervical Spine Range of Motion Measurement Utilizing Image Analysis, VISAPP2022, to appear.[DOI]

頚椎の疾患は他の部位の疾患に比べしばしば重大な日常生活動作の障害をもたらすため，迅速かつ正確な診断が要求される．頚椎の疾患を診断する指標の1つとして可動域角度を測ることがある．主な計測手法は手動であり医師にとって負担となっている．本研究では，Mask R-CNN と画像処理を用いて頚椎レントゲン画像から頚椎の可動域角度を計測できないか検討する．提案する頚椎可動域角度計測システムにおいて可動域角度を計測した結果，真値との平均誤差が3.5度，標準偏差が2.8 度であった．また提案システムと頚椎の診断を専門としない研修医の精度を比べた結果，計測精度は同程度であることがわかった．提案システムは研修医と同等の精度かつ計測値のばらつきなく頚椎可動域角度を計測できた．

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.