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Abstract #4110

Correlation between intra-axonal T2 and histological axon diameter in rat brain

Veronica P Dell'Acqua1, Greg D Parker1, Chantal M W Tax1,2, Ruth Hughes3, Tom O'Sullivan4, Martin Fuller4, Michelle Peckham5, Erick Jorge Canales Rodriguez6, Jurgen E Schneider7, Irvin Teh7, and Derek K Jones1
1Cardiff University Brain Research Imaging Centre (CUBRIC), Cardiff University, Cardiff, United Kingdom, 2Image Sciences Institute, University Medical Center Utrecht, Utrecht, Netherlands, 3Bioimaging and Flow Cytometry Facility, University of Leeds, Leeds, United Kingdom, 4Astbury CryoEM facility, Astbury Centre for Structural Molecular Biology, University of Leeds, Leeds, United Kingdom, 5University of Leeds Astbury Centre for Structural Molecular Biology and the School of Molecular and Cellular Biology, University of Leeds, Leeds, United Kingdom, 6Signal Processing Laboratory 5 (LTS5), Ecole Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland, 7Leeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, Leeds, United Kingdom

Synopsis

Keywords: Biology, Models, Methods, Validation, Axon Diameter, Diffusion-Relaxation, Relaxometry, data analysis

Motivation: Alteration of the axon radii has been previously linked with neurodevelopmental disorders and neurologic pathologies. The possibility of resolving submicrometric axon diameter yields the potential to open new diagnostic avenues.

Goal(s): Validation of the previously presented surface-based relaxation model, assessing the feasibility of estimating axon diameter based on intra-axonal transverse relaxation times.

Approach: Correlating diffusion-relaxation MRI data acquired in an ex-vivo rat sample and axon diameter measures based on histology data in the Corpus Callosum.

Results: The results confirm the previously reported linear relationship between intra-axonal T2 and axon diameter as estimated based on histology.

Impact: This first direct validation experiment of the relationship between intra-axonal T2 and axon diameter employing a surface-based relaxation model could pave the way for a novel biomarker in neurological disease.

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Abstract

Keywords