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Abstract #0871

Quasi-Diffusion Imaging: A model-based alternative to Diffusional Kurtosis Imaging

Thomas R Barrick1, Catherine A Spilling1,2, Ian R Storey1, Matt G Hall3,4, and Franklyn A Howe1
1St George's, University of London, London, United Kingdom, 2King's College London, London, United Kingdom, 3National Physical Laboratory, London, United Kingdom, 4University College London, London, United Kingdom


Quasi-Diffusion Imaging (QDI) is based on a model of diffusion dynamics that assumes diffusion is locally Gaussian within a heterogeneous tissue microstructural environment. We show here that QDI provides a compelling model-based alternative to Diffusional Kurtosis Imaging (DKI). Tensor measures determined by QDI are highly correlated with DKI, but exhibit greater parameter independence, indicating that DKI study results showing sensitivity and specificity to disease could be improved using QDI. As QDI also overcomes the limitations of DKI and can be acquired reproducibly in clinically feasible time it is a non-Gaussian diffusion imaging technique that overcomes barriers to clinical translation.

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