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dissertation paper_final_ShengYang.pdf (5.93 MB)

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Abstract Header

A Simplified Estimation Model for Two Crossing Fiber Orientations in Diffusion Weighted Imaging

Yang, Sheng, Yang
http://rave.ohiolink.edu/etdc/view?acc_num=case1531760896809294

Abstract Details

2018, Doctor of Philosophy, Case Western Reserve University, Epidemiology and Biostatistics.
Diffusion weighted imaging (DWI) is a vital source of imaging data for identifying anatomical connections in the living human brain that form the substrate for information transfer between brain regions, and therefore DWI can play a central role towards our understanding of brain function. The quantitative modeling and analysis of DWI data deduces the features of neural fibers at the voxel level, such as direction and density. The modeling methods that have been developed range from deterministic to probabilistic approaches. Currently, the Ball-and-Stick model (Behrens et al., 2003) serves as the most widely implemented probabilistic approach in the tractography toolbox of the popular FSL software package (University of Oxford) and FreeSurfer/TRACULA software package (Massachusetts General Hospital and Harvard Medical School). However, estimation in the Ball-and-Stick model is complex under the scenario of two crossing neural fibers, which occurs in a sizeable proportion of voxels within the brain. A Bayesian non-linear regression is adopted, comprised of a mixture of multiple nonlinear components. Such models can pose a difficult statistical estimation problem computationally. To make the approach of Ball-and-Stick model more feasible and more accurate, we propose a simplified version of Ball-and-Stick model that reduces parameter space dimensionality. This simplified model is vastly more efficient in the terms of computation time required in estimating parameters pertaining to two crossing neural fibers through Bayesian simulation approaches. Moreover, performance is comparable or even improved in terms of bias and variance.
Curtis Tatsuoka (Advisor)
Satya Sahoo (Committee Chair)
Kaushik Ghosh (Committee Member)
Ken Sakaie (Committee Member)
Abdus Sattar (Committee Member)
Biostatistics; Neurosciences

Recommended Citations

Citations

  • Yang, Yang, S. (2018). A Simplified Estimation Model for Two Crossing Fiber Orientations in Diffusion Weighted Imaging [Doctoral dissertation, Case Western Reserve University]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=case1531760896809294

    APA Style (7th edition)

  • Yang, Yang, Sheng. A Simplified Estimation Model for Two Crossing Fiber Orientations in Diffusion Weighted Imaging. 2018. Case Western Reserve University, Doctoral dissertation. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=case1531760896809294.

    MLA Style (8th edition)

  • Yang, Yang, Sheng. "A Simplified Estimation Model for Two Crossing Fiber Orientations in Diffusion Weighted Imaging." Doctoral dissertation, Case Western Reserve University, 2018. http://rave.ohiolink.edu/etdc/view?acc_num=case1531760896809294

    Chicago Manual of Style (17th edition)

case1531760896809294
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© 2018, all rights reserved.
This open access ETD is published by Case Western Reserve University School of Graduate Studies and OhioLINK.