ArticleNeuroinformatics2017
Fast Automatic Segmentation of White Matter Streamlines Based on a Multi-Subject Bundle Atlas.
Article in Neuroinformatics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.
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Who cites it
19 citing papers in PubMed, 1 synthesis or guideline pooled it.
- A systematic review of automated methods to perform white matter tract segmentation.Frontiers in neuroscience · 2024Pooled it
- Phybers: a package for brain tractography analysis.Frontiers in neuroscience · 2024Article
- Diffusion MRI with Machine Learning.Imaging neuroscience (Cambridge, Mass.) · 2024Article
- PhyberSIM: a tool for the generation of ground truth to evaluate brain fiber clustering algorithms.Frontiers in neuroscience · 2024Article
- Deep Learning Methods for Identification of White Matter Fiber Tracts: Review of State-of-the-Art and Future Prospective.Neuroinformatics · 2023Review
- A Brief History of Stereotactic Atlases: Their Evolution and Importance in Stereotactic Neurosurgery.Brain sciences · 2023Review
- Short superficial white matter and aging: a longitudinal multi-site study of 1293 subjects and 2711 sessions.Aging brain · 2023Article
- Auto-encoded Latent Representations of White Matter Streamlines for Quantitative Distance Analysis.Neuroinformatics · 2022Article
- Quantitative mapping of the brain's structural connectivity using diffusion MRI tractography: A review.NeuroImage · 2022Review
- Machine learning to investigate superficial white matter integrity in early multiple sclerosis.Journal of neuroimaging : official journal of the American Society of Neuroimaging · 2022Article
- ABrainVis: an android brain image visualization tool.Biomedical engineering online · 2021Article
- Evolution of Human Brain Atlases in Terms of Content, Applications, Functionality, and Availability.Neuroinformatics · 2021Review
- Fiber Clustering Acceleration With a Modified Kmeans++ Algorithm Using Data Parallelism.Frontiers in neuroinformatics · 2021Article
- Automatic group-wise whole-brain short association fiber bundle labeling based on clustering and cortical surface information.Biomedical engineering online · 2020Article
- White Matter Segmentation Algorithm for DTI Images Based on Super-Pixel Full Convolutional Network.Journal of medical systems · 2019Article
- An anatomically curated fiber clustering white matter atlas for consistent white matter tract parcellation across the lifespan.NeuroImage · 2018Article
- White Matter Tract Segmentation as Multiple Linear Assignment Problems.Frontiers in neuroscience · 2017Article
- Clustering of Whole-Brain White Matter Short Association Bundles Using HARDI Data.Frontiers in neuroinformatics · 2017Article
- Massively parallelized brain tractography using compute clusters, supercomputers, and graphics processing units.Imaging neuroscience (Cambridge, Mass.)Article
Corrections and comments
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
This paper presents an algorithm for fast segmentation of white matter bundles from massive dMRI tractography datasets using a multisubject atlas. We use a distance metric to compare streamlines in a subject dataset to labeled centroids in the atlas, and label them using a per-bundle configurable threshold. In order to reduce segmentation time, the algorithm first preprocesses the data using a simplified distance metric to rapidly discard candidate streamlines in multiple stages, while guaranteeing that no false negatives are produced. The smaller set of remaining streamlines is then segmented using the original metric, thus eliminating any false positives from the preprocessing stage. As a result, a single-thread implementation of the algorithm can segment a dataset of almost 9 million streamlines in less than 6 minutes. Moreover, parallel versions of our algorithm for multicore processors and graphics processing units further reduce the segmentation time to less than 22 seconds and to 5 seconds, respectively. This performance enables the use of the algorithm in truly interactive applications for visualization, analysis, and segmentation of large white matter tractography datasets.
Indexed as
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27722821What OpenQuestion holds
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.