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Abstract #0605

Microstructure Parameters in Acute Stroke: A Bayesian Approach to diffusion-weighted MRI

Elias Kellner1, Karl Egger2, Valerij G Kiselev2, Horst Urbach2, and Marco Reisert1

1Department of Radiology, Medical Physics, University Medical Center Freiburg, Freiburg, Germany, 2Department of Neuroradiology, University Medical Center Freiburg, Freiburg, Germany

In a recent study, we proposed a method for fast estimation of microstructural tissue parameters such as intra/extraaxonal volume fraction and diffusivities based on a Bayesian approach and machine learning. In this study, we report the application to cases of acute ischemic stroke. We show that the parameters are able to outline the infarct core qualitatively better than standard DTI. The results are in line with the currently accepted picture of axonal beading.

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