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Abstract #2591

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

1 Biomedical Engineering, University of Southern California, Los Angeles, California, United States, 2 Center of Magnetic Resonance Research, Korea Basic Science Institute, Ochang, Korea, 3 Radiology, Keck School of Medicine of USC, Los Angeles, California, United States, 4 Radiology, Children's Hospital of Los Angeles, California, United States

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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