Abstract #4400

Quasi-Diffusion Magnetic Resonance Imaging (QDI): a fast, high b-value diffusion imaging technique

Thomas R Barrick¹, Catherine A Spilling¹, Carson Ingo², Jeremy Madigan³, Jeremy D Isaacs³, Philip Rich³, Timothy L Jones³, Richard L Magin⁴, Matt G Hall^5,6, and Franklyn A Howe¹

¹Neurosciences, St George's, University of London, London, United Kingdom, ²Northwerstern University, Chicago, IL, United States, ³St George's University Hospitals NHS Foundation Trust, London, United Kingdom, ⁴University of Illinois at Chicago, Chicago, IL, United States, ⁵National Physical Laboratory, Teddington, United Kingdom, ⁶University College London, London, United Kingdom

We present a new ultra-high b-value diffusion magnetic resonance imaging (dMRI) methodology, Quasi-Diffusion Imaging (QDI). The QDI technique includes a tensor representation of the dMRI data. We show that high contrast to noise images representing standard and non-Gaussian diffusion measures are obtainable in 1 to 4 minutes. QDI entropy maps show pathological contrast similar to Diffusional Kurtosis Imaging (DKI) in stroke and brain tumours. In addition, QDI overcomes the b-value limitations of DKI.

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