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Research Article | Open Access |

Multifidus Muscle Volume Estimation Based on Three Dimensional Wavelet Multi Resolution Analysis: MRA with Buttocks Computer-Tomography: CT Images

Author 1: Kohei Arai
International Journal of Advanced Research in Artificial Intelligence (IJARAI) · Vol. 2, No. 12 · Published 2013

DOI: https://doi.org/10.14569/IJARAI.2013.021202

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Abstract

Multi-Resolution Analysis:. MRA based edge detection algorithm is proposed for estimation of volume of multifidus muscle in the Computer Tomography: CT scanned image The volume of multifidus muscle would be a good measure for metabolic syndrome rather than internal fat from a point of view from processing complexity. The proposed measure shows 0.178 of R square which corresponds to mutual correlation between internal fat and the volume of multifidus muscle. It is also fund that R square between internal fat and the other possible measures shows smaller than that of multifidus muscle.

Keywords

Edge detection MRA Multifidus muscle

How to Cite this Article

Arai, K. (2013). Multifidus Muscle Volume Estimation Based on Three Dimensional Wavelet Multi Resolution Analysis: MRA with Buttocks Computer-Tomography: CT Images. International Journal of Advanced Research in Artificial Intelligence, 2(12). https://doi.org/10.14569/IJARAI.2013.021202

Arai, Kohei. "Multifidus Muscle Volume Estimation Based on Three Dimensional Wavelet Multi Resolution Analysis: MRA with Buttocks Computer-Tomography: CT Images." International Journal of Advanced Research in Artificial Intelligence, vol. 2, no. 12, 2013, https://doi.org/10.14569/IJARAI.2013.021202.

@article{Arai2013,
  title     = {Multifidus Muscle Volume Estimation Based on Three Dimensional Wavelet Multi Resolution Analysis: MRA with Buttocks Computer-Tomography: CT Images},
  journal   = {International Journal of Advanced Research in Artificial Intelligence},
  volume    = {2},
  number    = {12},
  year      = {2013},
  publisher = {The Science and Information Organization},
  author    = {Kohei Arai},
  doi       = {10.14569/IJARAI.2013.021202},
  url       = {https://doi.org/10.14569/IJARAI.2013.021202}
}

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