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Can T-spectroscopy resolve submicrometer axon diameters?

Kaden, E; Alexander, DC; (2013) Can T-spectroscopy resolve submicrometer axon diameters? In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). (pp. 607 - 618). Springer Berlin Heidelberg Green open access

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The microscopic geometry of white matter carries rich information about brain function in health and disease. A key challenge for medical imaging is to estimate microstructural features noninvasively. One important parameter is the axon diameter, which correlates with the conduction time delay of action potentials and is affected by various neurological disorders. Diffusion magnetic resonance (MR) experiments are the method of choice today when we aim to recover the axon diameter distribution, although the technique requires very high gradient strengths in order to assess nerve fibers with one micrometer or less in diameter. In practice in-vivo brain imaging is only sensitive to the largest axons, not least due to limitations in the human physiology which tolerates only moderate gradient strengths. This work studies, from a theoretical perspective, the feasibility of T-spectroscopy to resolve submicrometer tissue structures. Exploiting the surface relaxation effect, we formulate a plausible biophysical model relating the axon diameter distribution to the T -weighted signal, which is based on a surface-to-volume ratio approximation of the Bloch-Torrey equation. Under a certain regime of bulk and surface relaxation coefficients, our simulation results suggest that it might be possible to reveal axons smaller than one micrometer in diameter. © 2013 Springer-Verlag.

Type: Proceedings paper
Title: Can T-spectroscopy resolve submicrometer axon diameters?
Event: 2013 23rd International Conference, Information Processing in Medical Imaging
ISBN-13: 978-3-642-38867-5
Open access status: An open access version is available from UCL Discovery
DOI: 10.1007/978-3-642-38868-2_51
Publisher version: http://dx.doi.org/10.1007/978-3-642-38868-2_51
Language: English
Additional information: © 2013 Springer-Verlag Berlin Heidelberg. This is the author's accepted version of this article. The final publication is available at link.springer.com.
UCL classification: UCL
UCL > Provost and Vice Provost Offices
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Computer Science
URI: https://discovery.ucl.ac.uk/id/eprint/1400206
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