Abstract：
:This work describes a reproducibility analysis of scalar water diffusion parameters, measured within white matter tracts segmented using a probabilistic shape modelling method. In common with previously reported neighbourhood tractography (NT) work, the technique optimises seed point placement for fibre tracking by matching the tracts generated using a number of candidate points against a reference tract, which is derived from a white matter atlas in the present study. No direct constraints are applied to the fibre tracking results. An Expectation-Maximisation algorithm is used to fully automate the procedure, and make dramatically more efficient use of data than earlier NT methods. Within-subject and between-subject variances for fractional anisotropy and mean diffusivity within the tracts are then separated using a random effects model. We find test-retest coefficients of variation (CVs) similar to those reported in another study using landmark-guided single seed points; and subject to subject CVs similar to a constraint-based multiple ROI method. We conclude that our approach is at least as effective as other methods for tract segmentation using tractography, whilst also having some additional benefits, such as its provision of a goodness-of-match measure for each segmentation.
journal_name
Neuroimagejournal_title
NeuroImageauthors
Clayden JD,Storkey AJ,Muñoz Maniega S,Bastin MEdoi
10.1016/j.neuroimage.2008.12.010subject
Has Abstractpub_date
2009-04-01 00:00:00pages
377-85issue
2eissn
1053-8119issn
1095-9572pii
S1053-8119(08)01277-9journal_volume
45pub_type
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