eprintid: 128057
rev_number: 53
eprint_status: archive
userid: 608
dir: disk0/00/12/80/57
datestamp: 2010-10-24 10:53:49
lastmod: 2021-09-19 22:59:48
status_changed: 2010-10-24 10:53:49
type: article
metadata_visibility: show
item_issues_count: 0
creators_name: Alexander, DC
title: Multiple-fiber reconstruction algorithms for diffusion MRI
ispublished: pub
divisions: UCL
divisions: B04
divisions: C05
divisions: F48
keywords: diffusion MRI, fiber, reconstruction algorithm, white matter, imaging, q-ball, PASMRI, PERSISTENT ANGULAR STRUCTURE, WHITE-MATTER, HUMAN BRAIN
note: © 2005 New York Academy of Sciences. Text made available to UCL Discovery by kind permission of Wiley.
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.
date: 2005-12
publisher: NEW YORK ACAD SCIENCES
official_url: http://dx.doi.org/10.1196/annals.1340.018
vfaculties: VENG
oa_status: green
full_text_type: pub
primo: open
primo_central: open_green
article_type_text: Proceedings Paper
verified: verified_manual
elements_source: Web of Science
elements_id: 32488
doi: 10.1196/annals.1340.018
language_elements: EN
lyricists_name: Alexander, Daniel
lyricists_id: DALEX06
full_text_status: public
publication: WHITE MATTER IN COGNITIVE NEUROSCIENCE: ADVANCES IN DIFFUSION TENSOR IMAGING AND ITS APPLICATIONS
volume: 1064
pagerange: 113 - 133
event_location: New York Acad Sci, New York, NY
issn: 0077-8923
editors_name: Ulmer, JL
editors_name: Parsons, L
editors_name: Moseley, M
editors_name: Gabrieli, J
citation:        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 <https://doi.org/10.1196/annals.1340.018>.       Green open access   
 
document_url: https://discovery.ucl.ac.uk/id/eprint/128057/1/annals.1340.018.pdf