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Multiple-fiber reconstruction algorithms for diffusion MRI

Alexander, DC; (2005) Multiple-fiber reconstruction algorithms for diffusion MRI. WHITE MATTER IN COGNITIVE NEUROSCIENCE: ADVANCES IN DIFFUSION TENSOR IMAGING AND ITS APPLICATIONS , 1064 113 - 133. 10.1196/annals.1340.018. Green open access

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Abstract

This chapter reviews multiple-fiber reconstruction algorithms for diffusion magnetic resonance imaging (MRI) and provides some initial comparative results for two such algorithms, q-ball imaging and PASMRI, on data from a typical clinical diffusion MRI acquisition. The chapter highlights the problems with standard approaches, such as diffusion-tensor MRI, to motivate a recent set of alternative approaches. The review concentrates on the software implementation of the new techniques. Results of the preliminary comparison show that PASMRI recovers the principal directions of simple test functions more consistently than q-ball imaging and produces qualitatively better results on the test data set. Further simulations suggest that a moderate increase in data quality allows q-ball, which is much faster to run, to recover directions with consistency comparable to that of PASMRI on the test data.

Type: Article
Title: Multiple-fiber reconstruction algorithms for diffusion MRI
Location: New York Acad Sci, New York, NY
Open access status: An open access version is available from UCL Discovery
DOI: 10.1196/annals.1340.018
Publisher version: http://dx.doi.org/10.1196/annals.1340.018
Additional information: © 2005 New York Academy of Sciences. Text made available to UCL Discovery by kind permission of Wiley.
Keywords: diffusion MRI, fiber, reconstruction algorithm, white matter, imaging, q-ball, PASMRI, PERSISTENT ANGULAR STRUCTURE, WHITE-MATTER, HUMAN BRAIN
UCL classification: UCL
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/128057
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