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Abstract #3573

Biases of microstructure models in baby diffusion MRI

Khoi Minh Huynh1, Tiantian Xu2, Ye Wu2, Geng Chen2, Weili Lin2, Dinggang Shen2, Pew-Thian Yap2, and the UNC/UMN Baby Connectome Project Consortium2

1Biomedical Engineering Department, The University of North Carolina at Chapel Hill, Chapel Hill, NC, United States, 2Department of Radiology and BRIC, The University of North Carolina at Chapel Hill, Chapel Hill, NC, United States

In this abstract, we show that some commonly used microstructure models do not perform as aspected when dealing with baby diffusion MRI, resulting in biased measurements. We found that this is mainly due to the greater water content in the developing brain. We show that the recently introduced Spherical Mean Spectrum Imaging (SMSI) [4] gives stable measurements in the presence of free water, making it well-suited for baby diffusion MRI.

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