ArticleFrontiers in neuroinformatics2021
3D Segmentation of Perivascular Spaces on T1-Weighted 3 Tesla MR Images With a Convolutional Autoencoder and a U-Shaped Neural Network.
Article in Frontiers in neuroinformatics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers, 1 of them a synthesis that pooled it.
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Who cites it
42 citing papers in PubMed, 1 synthesis or guideline pooled it, 66 citations in OpenAlex.
- The etiology and evolution of magnetic resonance imaging-visible perivascular spaces: Systematic review and meta-analysis.Frontiers in neuroscience · 2023Pooled it
- Glymphatic dysfunction is associated with hyperglycemia-related cortical thinning in patients with type 2 diabetes mellitus.Journal of endocrinological investigation · 2026Article
- Hormonal Modulation of Subjective Sleep Quality and Perivascular Space Volume Across the Menstrual Cycle: An Observational Dense-Sampling Study.bioRxiv : the preprint server for biology · 2026Article
- Multimodal Characterization of Glymphatic-Related Magnetic Resonance Imaging Markers in Huntington's Disease: A Multi-Cohort Retrospective Study.Annals of neurology · 2026Article
- Comparison of T1w, T2w, and T1w/T2w MRI methods for perivascular space quantification.Neuroradiology · 2026Article
- A comprehensive framework for automated segmentation of perivascular spaces in brain MRI with the nnU-Net.Neuroradiology · 2026Article
- Differences of Gradient Connectivity and Ventricle Volumes in Long-Term Sensorineural Hearing Loss Related Cognitive Impairment Correlate With Transcriptional Signatures.Human brain mapping · 2026Article
- Interactions between blood pressure variability, cerebral autoregulation, and covert cerebral small vessel disease in relation to cognitive performance in community-dwelling older adults.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026Article
- Diffusion tensor image analysis along the perivascular space index alterations in Alzheimer's disease: associated with cerebrospinal fluid Aβ40 and cognition.Brain imaging and behavior · 2026Article
- Endothelial TRIM47 regulates blood-brain barrier integrity and cognition via the KEAP1/NRF2 signalling pathway in mice.Communications biology · 2026Article
- segcsvdHuman brain mapping · 2026Article
- Effect of hearing ability on inflammation and glymphatic function affecting cognition in older adults.GeroScience · 2026Observational
- Alterations of cerebrospinal fluid flow dynamics in Parkinson's disease.NPJ Parkinson's disease · 2026Article
- Altered Glymphatic Network in Spinocerebellar Ataxia: a Multimodal MRI Study Within a Structure-Environment-Function Framework.Cerebellum (London, England) · 2026Article
- Association of Glymphatic Dysfunction with Cognitive Performance in Type 2 Diabetes Mellitus and Prediabetes.Neuroendocrinology · 2026Article
- Glymphatic System Dysfunction Associated with Inflammatory Factors in Asymptomatic Neurosyphilis.Current medical imaging · 2026Article
- Age-group differences in diffusion MRI characteristics of cortico-cerebellar tracts and their association with bimanual performance.Frontiers in aging neuroscience · 2026Article
- Proteogenomics in cerebrospinal fluid and plasma reveals new biological fingerprint of cerebral small vessel disease.Nature aging · 2025Article
- Perivascular Space Burden in Children With Autism Spectrum Disorder Correlates With Neurodevelopmental Severity.Journal of magnetic resonance imaging : JMRI · 2025Article
- DRIPS: Domain Randomisation for Image-based Perivascular spaces Segmentation.medRxiv : the preprint server for health sciences · 2025Article
Corrections and comments
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Authors and funding
13 authors at 6 institutions in 4 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
We implemented a deep learning (DL) algorithm for the 3-dimensional segmentation of perivascular spaces (PVSs) in deep white matter (DWM) and basal ganglia (BG). This algorithm is based on an autoencoder and a U-shaped network (U-net), and was trained and tested using T1-weighted magnetic resonance imaging (MRI) data from a large database of 1,832 healthy young adults. An important feature of this approach is the ability to learn from relatively sparse data, which gives the present algorithm a major advantage over other DL algorithms. Here, we trained the algorithm with 40 T1-weighted MRI datasets in which all "visible" PVSs were manually annotated by an experienced operator. After learning, performance was assessed using another set of 10 MRI scans from the same database in which PVSs were also traced by the same operator and were checked by consensus with another experienced operator. The Sorensen-Dice coefficients for PVS voxel detection in DWM (resp. BG) were 0.51 (resp. 0.66), and 0.64 (resp. 0.71) for PVS cluster detection (volume threshold of 0.5 within a range of 0 to 1). Dice values above 0.90 could be reached for detecting PVSs larger than 10 mm
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