Tractostorm: Rater reproducibility assessment in tractography dissection of the pyramidal tract
Alessandro De Benedictis,
Chantal M.W. Tax,
Felix C Morency,
Kesshi M. Jordan,
Sandip S Panesar,
Posted 30 Apr 2019
bioRxiv DOI: 10.1101/623892
Posted 30 Apr 2019
Investigative studies of white matter (WM) brain structures using diffusion MRI (dMRI) tractography frequently require manual WM bundle segmentation, often called "virtual dissection". Human errors and personal decisions make these manual segmentations hard to reproduce, which have not yet been quantified by the dMRI community. The contribution of this study is to provide the first large-scale, international, multi-center variability assessment of the "virtual dissection of the pyramidal tract (PyT). Eleven (11) experts and thirteen (13) non-experts in neuroanatomy and "virtual dissection" were asked to perform 30 PyT segmentation and their results were compared using various voxel-wise and streamline-wise measures. Overall the voxel representation is always more reproducible than streamlines ($\approx$70\% and $ \approx$35\% overlap respectively) and distances between segmentations are also lower for voxel-wise than streamline-wise measures ($\approx$3mm~and~$\approx$6mm respectively). This needs to be seriously considered before using tract-based measures (e.g. bundle volume versus streamline count) for an analysis. We show and argue that future bundle segmentation protocols need to be designed to be more robust to human subjectivity. Coordinated efforts by the diffusion MRI tractography community are needed to quantify and account for reproducibility of WM bundle extraction techniques in this era of open and collaborative science.
- Downloaded 408 times
- Download rankings, all-time:
- Site-wide: 43,132 out of 100,306
- In neuroscience: 7,520 out of 17,849
- Year to date:
- Site-wide: 39,347 out of 100,306
- Since beginning of last month:
- Site-wide: None out of 100,306
Downloads over time
Distribution of downloads per paper, site-wide
- 20 Oct 2020: Support for sorting preprints using Twitter activity has been removed, at least temporarily, until a new source of social media activity data becomes available.
- 18 Dec 2019: We're pleased to announce PanLingua, a new tool that enables you to search for machine-translated bioRxiv preprints using more than 100 different languages.
- 21 May 2019: PLOS Biology has published a community page about Rxivist.org and its design.
- 10 May 2019: The paper analyzing the Rxivist dataset has been published at eLife.
- 1 Mar 2019: We now have summary statistics about bioRxiv downloads and submissions.
- 8 Feb 2019: Data from Altmetric is now available on the Rxivist details page for every preprint. Look for the "donut" under the download metrics.
- 30 Jan 2019: preLights has featured the Rxivist preprint and written about our findings.
- 22 Jan 2019: Nature just published an article about Rxivist and our data.
- 13 Jan 2019: The Rxivist preprint is live!