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Abstract #0742

Histologically-derived fiber response functions for diffusion MRI data reveal systematic differences from model-based deconvolution kernels

Kurt Schilling1, Vaibhav Janve1, Yurui Gao1, Iwona Stepniewska2, Bennett Landman3, and Adam Anderson1

1Biomedical Engineering, Vanderbilt University, Nashville, TN, United States, 2Vanderbilt University, Nashville, TN, United States, 3Electrical Engineering and Computer Science, Vanderbilt University, Nashville, TN, United States

Spherical deconvolution for diffusion MRI requires a response function in order to accurately reconstruct the underlying voxel-wise fiber orientation distribution (FOD). Here, using 3D histologically-defined fiber orientation distributions and the corresponding diffusion signal, we derive the ground-truth fiber response functions. We show that there is significant variation in these response functions across the brain. We find that the current methods to estimate this function do not match the histological results, which leads to differences in fiber volume fractions. This is important because the wrong response function can amplify spurious peaks in the FOD and lead to inaccurate tractography.

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