UCL Discovery
UCL home » Library Services » Electronic resources » UCL Discovery

Axon diameter mapping in the presence of orientation dispersion using diffusion MRI

ZHANG, H; Hubbard, PL; Parker, GJM; Alexander, DC; (2011) Axon diameter mapping in the presence of orientation dispersion using diffusion MRI. In: Abbott, DF and Ackermann, JH, (eds.) Proceedings of the International Society for Magnetic Resonance in Medicine (ISMRM 2011): 19th Annual Meeting and Exhibition. (pp. 74 - 74). ISMRM: Berkeley, US. Green open access

[thumbnail of 1306729.pdf]
Preview
PDF
1306729.pdf
Available under License : See the attached licence file.

Download (838kB)

Abstract

Axon diameter mapping using diffusion MRI provides more specific biomarkers than DTI indices. Earlier works assume a model of strictly parallel axons. However, such approximation is inadequate for most white matter regions in which axons fan or bend, resulting in significant orientation dispersion. Such dispersion, if unaccounted for, leads to overestimation of axon diameters. We ameliorates this problem by proposing a model that captures orientation dispersion explicitly. We demonstrate that recovery of axon diameters is possible even in the presence of orientation dispersion, supporting accurate axon diameter mapping in a much wider set of white matter than previously possible

Type: Proceedings paper
Title: Axon diameter mapping in the presence of orientation dispersion using diffusion MRI
Open access status: An open access version is available from UCL Discovery
Publisher version: http://www.ismrm.org/11/index.htm
Language: English
Additional information: 19th Annual Meeting & Exhibition held at Montreal, Canada between 7-13 May 2011
Keywords: Axon diameter, diffusion MRI, orientation dispersion
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/1306729
Downloads since deposit
145Downloads
Download activity - last month
Download activity - last 12 months
Downloads by country - last 12 months

Archive Staff Only

View Item View Item