Simulated DW-MRI Brain Data Sets for Quantitative Evaluation of Estimated Fiber Orientations
Bryce Wilkins 1 , Namgyun Lee 1,2 , Meng Law 1,3 , and Natasha Lepor 1,4
Biomedical Engineering, University of
Southern California, Los Angeles, California, United
of Magnetic Resonance Research, Korea Basic Science
Institute, Ochang, Korea,
Keck School of Medicine of USC, Los Angeles, California,
Children's Hospital of Los Angeles, California, United
This abstract describes the development of simulated
DW-MRI brain images and quantitative tools for
evaluating the performance of diffusion analysis methods
in terms of fiber orientation estimation and
false-positive/-negative fiber rates, which are of
fundamental importance to tractography based studies.
Synthetic data is generated at SNRs of 9, 18 and 36,
using sets of 20, 30, 40, 60, 90 and 120 gradient
directions, at diffusion-weighting of b=1000 common to
clinical acquisitions. We illustrate correspondence
between in-vivo and synthetic data analysis, and provide
an example of quantitative results obtained from six
well-known DW-MRI analysis methods.
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