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An Active Contour Approach for 3D Thigh Muscle Segmentation

Judkovich, Michael

Abstract Details

2021, Master of Sciences, Case Western Reserve University, Applied Mathematics.
Image segmentation is a complex mathematical problem, especially for images that contain intensity inhomogeneity and tightly packed objects. Magnetic Resonance (MR) muscle images often contain both of these issues, making muscle segmentation especially difficult. In this paper we propose a semi-automatic approach to segment the three muscle groups of the human thigh from MR images. The approach uses a geometric flow that incorporates a reproducing kernel Hilbert space (RKHS) edge descriptor and a geodesic distance penalty term from a set of markers and anti-markers. A method for automating the placement of the markers using atlas-based segmentation is also explored. To help deal with the intensity inhomogeneity, a new approach to estimate the bias field using a fat fraction image, called Prior Bias-Corrected Fuzzy C-means (PBCFCM), is introduced. The proposed approach was tested on five subjects, resulting in Dice coefficients above 90%.
Weihong Guo (Committee Chair)
Erkki Somersalo (Committee Member)
Wanda Strychalski (Committee Member)
80 p.

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Citations

  • Judkovich, M. (2021). An Active Contour Approach for 3D Thigh Muscle Segmentation [Master's thesis, Case Western Reserve University]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=case1618866341802777

    APA Style (7th edition)

  • Judkovich, Michael. An Active Contour Approach for 3D Thigh Muscle Segmentation. 2021. Case Western Reserve University, Master's thesis. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=case1618866341802777.

    MLA Style (8th edition)

  • Judkovich, Michael. "An Active Contour Approach for 3D Thigh Muscle Segmentation." Master's thesis, Case Western Reserve University, 2021. http://rave.ohiolink.edu/etdc/view?acc_num=case1618866341802777

    Chicago Manual of Style (17th edition)