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Abstract #2843

Tradeoffs in Supersampling of DTI Metrics

Jadrian Miles1, Ron A. Cohen2, David H. Laidlaw1

1Dept. of Computer Science, Brown University, Providence, RI, USA; 2Dept. of Psychiatry, Brown Medical School, Providence, RI, USA

Values derived from diffusion tensors (such as FA and eigenvectors) are often needed at higher spatial resolution than provided by a DW-MRI scan. One may magnify, or "supersample", the DWIs, DTI, and fields of derived values in turn, but what are the tradeoffs? In this work we examine the 15 different combinations of power-of-two supersamplings that achieve 16x magnification of the derived value fields. We find that interpolating derived values is as good as interpolating diffusion tensors, provided the DWIs have been sufficiently supersampled.