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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