Abstract #1629

In vivo DTI-based free-water elimination with T2-weighting

Ezequiel Farrher¹, Richard Buschbeck¹, Chang-Hoon Choi¹, Li-Wei Kuo^2,3, Seong-Dae Yun¹, Farida Grinberg^1,4, and N. Jon Shah^1,4,5,6,7

¹Institute of Neuroscience and Medicine 4, Forschungszentrum Jülich, Jülich, Germany, ²Institute of Biomedical Engineering and Nanomedicine, National Health Research Institutes, Miaoli, Taiwan, ³Institute of Medical Device and Imaging, National Taiwan University College of Medicine, Taipei, Taiwan, ⁴Department of Neurology, Faculty of Medicine, RWTH Aachen University, Aachen, Germany, ⁵JARA – BRAIN – Translational Medicine, RWTH Aachen University, Aachen, Germany, ⁶Institute of Neuroscience and Medicine 11, Forschungszentrum Jülich, Jülich, Germany, ⁷Biomedical Imaging, School of Psychological Sciences, Monash University, Melbourne, Australia

Free-water elimination allows one to reduce the bias in DTI metrics induced by partial-volume effects. Unfortunately the fitting problem for this model is ill-conditioned. However, it has been recently demonstrated that the introduction of a second dimension determined by the echo-time, leads to a well-conditioned fitting problem. In this work we investigate the experimental design and data analysis pipeline of such experiments in vivo.

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