bioRxiv (Cold Spring Harbor Laboratory) · 2016 · 69 citations · 64 references
Life SciencesNeurobiologyNeuroscienceBiomedical ImagingComputational NeuroscienceDiagnostic ImagingBrain ConnectivityBrain ImagingConnectomicsDiffusion ImagingMedical ImagingWhite Matter TractsBrain Connectivity MappingConnectome AnalysisGround Truth VerificationWhite Matter Tract AnalysisWhite Matter Tractography
Abstract Fiber tractography based on non-invasive diffusion imaging is at the heart of connectivity studies of the human brain. To date, the approach has not been systematically validated in ground truth studies. Based on a simulated human brain dataset with ground truth white matter tracts, we organized an open international tractography challenge, which resulted in 96 distinct submissions from 20 research groups. While most state-of-the-art algorithms reconstructed 90% of ground truth bundles to at least some extent, on average they produced four times more invalid than valid bundles. About half of the invalid bundles occurred systematically in the majority of submissions. Our results demonstrate fundamental ambiguities inherent to tract reconstruction methods based on diffusion orientation information, with critical consequences for the approach of diffusion tractography in particular and human connectivity studies in general.
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Reproducibility of quantitative tractography methods applied to cerebral white matter
Setsu Wakana, Arvind Caprihan, Martina M. Panzenboeck et al. · NeuroImage · 2007 · 1.7K citations
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Dipy, a library for the analysis of diffusion MRI data
Eleftherios Garyfallidis, Matthew Brett, Bagrat Amirbekian et al. · Frontiers in Neuroinformatics · 2014 · 1.5K citations · Full text
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