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Abstract #3380

Axon diameter mapping using diffusion MR microscopy embedded in a Monte-Carlo based fingerprint approach

Delphine Estournet1,2, Justine Beaujoin1,2, Fabrice Poupon2,3, Achille Teillac1,2, Jean-François Mangin2,3, and Cyril Poupon1,2

1CEA/I²BM/NeuroSpin/UNIRS, Gif-sur-Yvette, France, 2Université Paris-Saclay, Orsay, France, 3CEA/I²BM/NeuroSpin/UNATI, Gif-sur-Yvette, France

In this work, we demonstrate that Monte-Carlo simulations combined with fingerprint approaches can be used to develop decoding tools of the micro-structure using a dictionary learning approach. The validation has been done on a test object mimicking the mid-sagittal plane of a corpus callosum with axon diameters varying according to histological studies. The robustness of the decoding obviously depends on the richness of the dictionary, but, contrary to analytical approaches with highly non linear equations hard to fit practically, such MC approach do not have this kind of limitation, thus opening the way to decode more complex tissue cellular configurations.

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