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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