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Article type: Research Article
Authors: Kobayashi, Koichia; | Sakamoto, Makotoa | Soeno, Tatsuyab | Sato, Takashib
Affiliations: [a] School of Health Sciences, Faculty of Medicine, Niigata University, Niigata, Japan | [b] Department of Orthopedic Surgery, Niigata Medical Center, Niigata, Japan
Correspondence: [*] Corresponding author: Koichi Kobayashi, School of Health Sciences, Faculty of Medicine, Niigata University, 2-746 Asahimachi-dori, Chuo-ku, Niigata 951-8518, Japan. Tel.: +81 25 227 0935; E-mail: kobayasi@clg.niigata-u.ac.jp
Abstract: BACKGROUND:Accurate measurement of bone alignment of the knee during walking provides ideal clinical information for diagnosis and treatment of knee joint disorders. To bring this ideal closer to clinical reality, we developed an image matching technique to measure the three-dimensional (3D) position of bones using anteroposterior radiography during the stance phase of treadmill walking. OBJECTIVE:To develop and validate an image matching method for evaluation of 3D knee alignment using anteroposterior radiography of artificial femoral and tibial bones. METHODS:The 3D position of each bone was recovered by minimizing the difference between the projected outline and the contour of the bone in the anteroposterior radiograph. The true value of the position was measured using a 3D coordinate measuring machine. RESULTS:The mean values ± standard deviation and root mean squares (RMS) of translation errors were within −1.6 ± 2.1 mm and 2.6 mm, respectively, for femur, and 2.1 ± 1.9 mm and 2.8 mm for tibia. The mean values ± standard deviation and RMS of errors in rotation were within 0.3 ± 0.7° and 0.7°, respectively, for femur, and −0.3 ± 0.9° and 0.9°, respectively, for tibia. CONCLUSION:Our method is suitable for evaluating 3D knee alignment on anteroposterior radiography.
Keywords: Knee alignment, 2D to 3D image matching, anteroposterior radiography, pose estimation
DOI: 10.3233/BME-240059
Journal: Bio-Medical Materials and Engineering, vol. Pre-press, no. Pre-press, pp. 1-9, 2024
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