ArticleJournal of neuroscience methods2021
A quality control pipeline for probabilistic reconstruction of white-matter pathways.
Article in Journal of neuroscience methods, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed, 7 citations in OpenAlex.
- Association Between White Matter Tract Microstructure and Cognitive, Affective, and Somatic Empathy in Children: An Exploratory TRACULA-Based Diffusion MRI Study.Brain and behavior · 2026Article
- Moderating effects of limbic white matter on verbal memory in older adults with multiple sclerosis.Neuropsychology · 2026Article
- Pre-CBT resting-state connectivity and white matter integrity in OCD remission: A multimodal MRI study.Neuroimage. Reports · 2025Article
- Scalable quality control on processing of large diffusion-weighted and structural magnetic resonance imaging datasets.PloS one · 2025Article
- Diffusion indices alteration in major white matter tracts of children with tic disorder using TRACULA.Journal of neurodevelopmental disorders · 2024Article
- Automated three-dimensional major white matter bundle segmentation using diffusion magnetic resonance imaging.Anatomical science international · 2023Review
- Key considerations for child and adolescent MRI data collection.Frontiers in neuroimaging · 2022Article
Corrections and comments
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Authors and funding
6 authors at 1 institution in 1 country.
Funding
Abstract
backgroundOne of the most well-validated tools for DTI data analysis is TRACULA, part of the FreeSurfer software. TRACULA automatically segments 18 major white matter (WM) tracts. Occasionally, tracts may be only partially reconstructed, thus requiring intervention to avoid biasing analyses. A majority of studies have not reported any quality control procedures and those that have tend to discard partially reconstructed tracts from group analyses if they cannot be salvaged during TRACULA reinitialization. NEW
methodWe propose a semi-automated method to improve the detection and recovery of incomplete WM tracts. We detail several steps to maximize the quality of preprocessed DTI data. The steps include: (1) a visual inspection of eddy current corrected diffusion weighted images and (2) an automated evaluation of color- encoded FA images; (3) assessment of the volume of each tract saved in the TRACULA output file; (4) re-processing of tracts with a volume smaller than a specified threshold; (5) minimal manual editing of the control points for tracts that remained partially reconstructed; and (6) final re-initiation of TRACULA.
resultsOur method can speed and improve quality control relative to tract-by-tract visual inspection and can recover data that otherwise would need to be excluded from analyses due to incomplete reconstruction. COMPARISON WITH EXISTING
methodsTo our knowledge, there are no publications proposing alternative methods for quality control and recovering of partially reconstructed tracts in the TRACULA environment.
conclusionsOur method helps TRACULA users automatically access the quality of reconstructed WM tracts and semi-automatically recover those in-complete WM tracts.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.