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Patient-Specific Skeletal Muscle Fiber Modeling from Structure Tensor Field of Clinical CT Images

Institution:
1Graduate School of Information Science, Nara Institute of Science and Technology, Ikoma, Japan.
2Graduate School of Medicine, Osaka University, Suita, Japan.
3Department of Mechanical Engineering, The University of Tokyo, Tokyo, Japan
4Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
Publisher:
Int Conf Med Image Comput Comput Assist Interv. MICCAI 2017
Publication Date:
Sep-2017
Volume Number:
20
Issue Number:
Pt 1
Pages:
656-63
Citation:
Int Conf Med Image Comput Comput Assist Interv. 2017 Sep;20(Pt1):656-63.
Appears in Collections:
NAC, LMI, SPL
Sponsors:
U01 CA199459/CA/NCI NIH HHS/United States
P41 EB015902/EB/NIBIB NIH HHS/United States
Generated Citation:
Otake Y., Yokota F., Fukuda N., Takao M., Takagi S., Yamamura N., O’Donnell L.J., Westin C-F., Sugano N., Sato Y. Patient-Specific Skeletal Muscle Fiber Modeling from Structure Tensor Field of Clinical CT Images. Int Conf Med Image Comput Comput Assist Interv. 2017 Sep;20(Pt1):656-63.
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We propose an optimization method for estimating patient- specific muscle fiber arrangement from clinical CT. Our approach first computes the structure tensor field to estimate local orientation, then a geometric template representing fiber arrangement is fitted using a B- spline deformation by maximizing fitness of the local orientation using a smoothness penalty. The initialization is computed with a previously proposed algorithm that takes account of only the muscle’s surface shape. Evaluation was performed using a CT volume (1.0mm3/voxel) and high resolution optical images of a serial cryosection (0.1mm3/voxel). The mean fiber distance error at the initialization of 6.00 mm was decreased to 2.78mm after the proposed optimization for the gluteus maximus muscle, and from 5.28 mm to 3.09 mm for the gluteus medius muscle. The result from 20 patient CT images suggested that the proposed algorithm reconstructed an anatomically more plausible fiber arrangement than the previous method.

Additional Material
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Otake-MICCAI2017-fig5.jpg (157.851kB)