Abstract
The movement of individual cervical vertebrae from extension to flexion can be defined as a rotation about a certain axis point, known as the Mean Axis of Rotation (MAR). Researchers have used the position of the MAR to define normal and abnormal pathologies, making it an important indicator. However, the 2–3 h required to accurately calculate the MAR manually severely limits the usage of MAR in clinical and research environments. Multiple attempts have been made to automate the analysis, but none have been able to achieve the reliability of the manual method. We present here a redesigned semi-automatic MAR Analysis tool, which leverages advanced software architectures and computer vision methods to overcome previous limitations, and faithfully replicate the manual method. Initial testing of this MAR tool shows promise that the desired reliability can be achieved with this tool.
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Abbasi, M., Khan, A.H., Bayanzay, K., Rana, A., Mosabbir, A. (2020). Precise Mean Axis of Rotation (MAR) Analysis for Clinical and Research Applications. In: Ateshian, G., Myers, K., Tavares, J. (eds) Computer Methods, Imaging and Visualization in Biomechanics and Biomedical Engineering. CMBBE 2019. Lecture Notes in Computational Vision and Biomechanics, vol 36. Springer, Cham. https://doi.org/10.1007/978-3-030-43195-2_8
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DOI: https://doi.org/10.1007/978-3-030-43195-2_8
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