2019
DOI: 10.1002/jmri.26794
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Tractography reproducibility challenge with empirical data (TraCED): The 2017 ISMRM diffusion study group challenge

Abstract: Background: Fiber tracking with diffusion-weighted MRI has become an essential tool for estimating in vivo brain white matter architecture. Fiber tracking results are sensitive to the choice of processing method and tracking criteria. Purpose: To assess the variability for an algorithm in group studies reproducibility is of critical context. However, reproducibility does not assess the validity of the brain connections. Phantom studies provide concrete quantitative comparisons of methods relative to absolute g… Show more

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Cited by 38 publications
(27 citation statements)
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“…Third, we find that the variability across protocols is greater than the variability within protocols, and more importantly, similar to (or greater than) the variability across subjects. These results are in agreement with previous studies showing high overlap, high density correlations, and low disagreements within a protocol [30][31][32]. Most importantly, in our study, this represents a worst-case intra-protocol measure, because it includes sources of variability related to acquisition (and associated noise and artifacts), registration, reconstruction, and streamline generation -sources of variation which are shown to be still smaller than that across protocols.…”
Section: Discussionsupporting
confidence: 93%
“…Third, we find that the variability across protocols is greater than the variability within protocols, and more importantly, similar to (or greater than) the variability across subjects. These results are in agreement with previous studies showing high overlap, high density correlations, and low disagreements within a protocol [30][31][32]. Most importantly, in our study, this represents a worst-case intra-protocol measure, because it includes sources of variability related to acquisition (and associated noise and artifacts), registration, reconstruction, and streamline generation -sources of variation which are shown to be still smaller than that across protocols.…”
Section: Discussionsupporting
confidence: 93%
“…Another issue that was opened by our work is how to define the best long-range brain connectivity to be used in TVB. In the MRI field, a relevant limitation is indeed the difficulty to reconstruct crossing and polysynaptic tracts and to identify the direction of axonal propagation (Hein et al, 2016;Nath et al, 2020). We have shown here that connectome corrections integrating physiological and anatomical constraints provide an effective solution that could be extended to an increasing number of long-range brain connections.…”
Section: Discussionmentioning
confidence: 90%
“…While very high reproducibility is a very important feature of any tracking algorithm [40], its reliance as key quality measure (particularly, when this is at the expense of other important qualities, such as accuracy) when studying connectivity is considered here the second ‘sin’ in the list.…”
Section: Seven Deadly Sinsmentioning
confidence: 99%