Abstract #1119

Uncovering 3D Axonal Morphologies with Synchrotron Imaging: Impact on Microstructure Imaging with Diffusion MRI

Mariam Andersson^1,2, Hans Martin Kjer^1,2, Jonathan Rafael-Patino³, Vedrana Andersen Dahl², Alexandra Pacureanu⁴, Jean-Philippe Thiran^3,5, Martin Bech⁶, Anders Bjorholm Dahl², and Tim B. Dyrby^1,2

¹Danish Research Centre for Magnetic Resonance, Copenhagen University Hospital Hvidovre, Hvidovre, Denmark, ²Department of Applied Mathematics and Computer Science, Technical University of Denmark, Kongens Lyngby, Denmark, ³Signal Processing Lab (LTS5), Ecole Polytechnique Fédérale de Lausanne, Lausanne, Switzerland, ⁴European Synchrotron Research Facility, Grenoble, France, ⁵Radiology Department, Centre Hospitalier Universitaire Vaudois and University of Lausanne, Lausanne, Switzerland, ⁶Department of Medical Radiation Physics, Clinical Science, Lund University, Lund, Sweden

In this study, we segmented large axons from high resolution 3D synchrotron images of the monkey splenium. We simulate the intra-axonal MRI diffusion signal of both the segmented geometry and a simplified, corresponding cylindrical geometry, and calculate the corresponding axon diameter indices. The axon diameter index is well estimated in the simplified geometry, but is overestimated in the more complex segmented geometry, potentially due to variations in axon diameter and non-uniform trajectories. Lastly, we present the observation that segmented axons, which all have average diameters >2 µm, seem to experience similar absolute diameter variations.

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