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Test-retest Reproducibility of White Matter Parcellation using Diffusion MRI Tractography Fiber Clustering

Department of Neurosurgery, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
Publication Date:
Hum Brain Mapp
Volume Number:
Issue Number:
Hum Brain Mapp. 2019 Jul;40(10):3041-57.
PubMed ID:
cortical-parcellation-based, diffusion MRI, fiber clustering, ractography parcellation
Appears in Collections:
R03 NS088301//National Institutes of Health
U01 CA199459//National Institutes of Health
R01 MH097979//National Institutes of Health
R01 MH074794//National Institutes of Health
P41 EB015898//National Institutes of Health
P41 EB015902//National Institutes of Health
Generated Citation:
Zhang F., Wu Y., Norton I., Rathi Y., Golby A.J., O'Donnell L.J. Test-retest Reproducibility of White Matter Parcellation using Diffusion MRI Tractography Fiber Clustering. Hum Brain Mapp. 2019 Jul;40(10):3041-57. PMID: 30875144.
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There are two popular approaches for automated white matter parcellation using diffusion MRI tractography, including fiber clustering strategies that group white matter fibers according to their geometric trajectories and cortical-parcellation-based strategies that focus on the structural connectivity among different brain regions of interest. While multiple studies have assessed test-retest reproducibility of automated white matter parcellations using cortical-parcellation-based strategies, there are no existing studies of test-retest reproducibility of fiber clustering parcellation. In this work, we perform what we believe is the first study of fiber clustering white matter parcellation test-retest reproducibility. The assessment is performed on three test-retest diffusion MRI datasets including a total of 255 subjects across genders, a broad age range (5-82 years), health conditions (autism, Parkinson's disease and healthy subjects), and imaging acquisition protocols (three different sites). A comprehensive evaluation is conducted for a fiber clustering method that leverages an anatomically curated fiber clustering white matter atlas, with comparison to a popular cortical-parcellation-based method. The two methods are compared for the two main white matter parcellation applications of dividing the entire white matter into parcels (i.e., whole brain white matter parcellation) and identifying particular anatomical fiber tracts (i.e., anatomical fiber tract parcellation). Test-retest reproducibility is measured using both geometric and diffusion features, including volumetric overlap (wDice) and relative difference of fractional anisotropy. Our experimental results in general indicate that the fiber clustering method produced more reproducible white matter parcellations than the cortical-parcellation-based method.