TY  - JOUR
TI  - Multiple-fiber reconstruction algorithms for diffusion MRI
EP  -  133
AV  - public
Y1  - 2005/12//
ID  - discovery128057
N2  - 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.
PB  - NEW YORK ACAD SCIENCES
KW  - diffusion MRI
KW  -  fiber
KW  -  reconstruction algorithm
KW  -  white matter
KW  -  imaging
KW  -  q-ball
KW  -  PASMRI
KW  -  PERSISTENT ANGULAR STRUCTURE
KW  -  WHITE-MATTER
KW  -  HUMAN BRAIN
SP  - 113 
VL  - 1064
N1  - © 2005 New York Academy of Sciences. Text made available to UCL Discovery by kind permission of Wiley.
SN  - 0077-8923
UR  - http://dx.doi.org/10.1196/annals.1340.018
JF  - WHITE MATTER IN COGNITIVE NEUROSCIENCE: ADVANCES IN DIFFUSION TENSOR IMAGING AND ITS APPLICATIONS
A1  - Alexander, DC
ER  -