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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 Hall5,6, 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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