Meeting Banner
Abstract #4427

Accuracy of axon diameter estimation using diffusion MRI in fiber space

Mohammad Ashtarayeh1, Tobias Streubel1,2, Francisco Javier Fritz1, Joao Periquito3, Andreas Pohlmann3, Thoralf Niendorf3, Henriette Rusch4, Markus Morawski4, Carsten Jäger2, Stefan Geyer2, Bibek Dhital5, Muhamed Barakovic6,7, Simona Schiavi 8, Alessandro Daducci8, and Siawoosh Mohammadi1,2
1Department of Systems Neurosciences, University Medical Center Hamburg-Eppendorf, Hamburg, Germany, 2Department of Neurophysics, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany, 3Berlin Ultrahigh Field Facility (B.U.F.F.), Max-Delbrueck-Center for Molecular Medicine in the Helmholtz Association, Berlin, Germany, 4Paul Flechsig Institute of Brain Research, University of Leipzig, Leipzig, Germany, 5Department of Radiology, University Medical Center Freiburg, Freiburg, Germany, 6Signal Processing Lab (LTS5), Ecole Polytechnique Federale de Lausanne, Lausanne, Switzerland, 7Translational Imaging in Neurology (ThINk) Basel, Department of Medicine and Biomedical Engineering, University Hospital Basel and University of Basel, Basel, Switzerland, 8Department of computer science, University of Verona, Verona, Italy

We investigated the effect of different diffusion MRI acquisition protocols (incl. varying gradient-strength and signal-to-noise ratio) on the accuracy of axon diameter index (ADI) estimation in fiber space for human specimens. We used the Bland-Altman plot to estimate the error in the MRI-based ADI measurement. We found that gradient strengths above 900mT/m and b-values larger than b=50k s/mm2 provided accurate estimation of ADI (error smaller than 0.13 µm). The error for the best protocol was about 0.04 µm, allowing to distinguish white matter tracts with varying effective axon diameters (e.g. corpus callosum, genu, 1.5 µm and posterior body, 1.93 µm).

This abstract and the presentation materials are available to 2020 meeting attendees and eLibrary customers only; a login is required.

Join Here