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Abstract #1807

Minimizing the error in finding peak orientations of fiber ODF in diffusion MRI using Nelder-Mead simplex method

Kuan-Hung Cho1, Chun-Hung Yeh2, Yi-Ping Chao3,4, Ching-Po Lin5, and Li-Wei Kuo1,6

1Institute of Biomedical Engineering and Nanomedicine, National Health Research Institutes, Miaoli, Taiwan, 2The Florey Institute of Neuroscience and Mental Health, Melbourne, Australia, 3Department of Computer Science and Information Engineering, Chang Gung University, Taoyuan, Taiwan, 4Department of Neurology, Chang Gung Memorial Hospital at Linkou, Taoyuan, Taiwan, 5Institute of neuroscience, National Yang-Ming University, Taipei, Taiwan, 6Institute of Medical Device and Imaging, National Taiwan University College of Medicine, Taipei, Taiwan

Discrete mesh search method is commonly used to determine fiber orientations by searching orientations corresponding local maxima of orientation distribution function (ODF). However, this method may produce extra errors relating to the number of sampling points of ODF in fiber orientation estimate. We address this problem and minimize the error of fiber orientation estimate by using Nelder-Mead simplex method. The results from computer simulation and phantom experiment show that Nelder-Mead simplex method gives accurate fiber orientation estimation better than discrete mesh search method with ODF sampling points less than 163,842.

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