ArticleHuman brain mapping2022
Performance of three freely available methods for extracting white matter hyperintensities: FreeSurfer, UBO Detector, and BIANCA.
Article in Human brain mapping, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.
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Who cites it
23 citing papers in PubMed, 24 citations in OpenAlex.
- White matter lesions disrupt cholinergic pathways important for cognition in Parkinson's disease.Brain : a journal of neurology · 2026Article
- Magnetic Resonance Imaging in Cerebral Small Vessel Disease-Related Depression: From Visual Scoring to Artificial Intelligence.CNS neuroscience & therapeutics · 2026Review
- Multiomics Profiling Supports Cathepsin B as a Protective Factor in Cerebral Small Vessel Disease.Research square · 2026Article
- Choroid plexus enlargement contributes to CSVD progression and white matter microstructural deterioration via brain-fluid dysregulation.Alzheimer's research & therapy · 2026Article
- Associations between white matter lesions, adiposity, and systemic inflammation in late adulthood: Results from the IGNITE study.Brain, behavior, and immunity · 2026Article
- Comparison of automated white matter lesion segmentation approaches for use in large, multi-site data analyses in Parkinson's disease.Frontiers in neuroscience · 2026Article
- Artificial intelligence for white matter hyperintensity segmentation: performance, determinants, and clinical implications.Frontiers in aging neuroscience · 2026Article
- Technology-Enabled Cognitive Strategy Intervention for Secondary Stroke Prevention: A Feasibility Study.Bioengineering (Basel, Switzerland) · 2025Article
- MRI contrast accumulation in features of cerebral small vessel disease: blood-brain barrier dysfunction or elevated vascular density?Fluids and barriers of the CNS · 2025Article
- Epigenetic age acceleration predicts subject-specific white matter degeneration in the human brain.Aging cell · 2025Article
- Identifying sources of bias when testing three available algorithms for quantifying white matter lesions: BIANCA, LPA and LGA.GeroScience · 2025Article
- Cerebral small vessel disease lesion segmentation methods: A systematic review.Cerebral circulation - cognition and behavior · 2025Review
- Decoding the best automated segmentation tools for vascular white matter hyperintensities in the aging brain: a clinician's guide to precision and purpose.GeroScience · 2024Article
- Common protein-altering variant in GFAP is associated with white matter lesions in the older Japanese population.NPJ genomic medicine · 2024Article
- Cerebral arterial stiffness is linked to white matter hyperintensities and perivascular spaces in older adults - A 4D flow MRI study.Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2024Article
- Automated brain segmentation and volumetry in dementia diagnostics: a narrative review with emphasis on FreeSurfer.Frontiers in aging neuroscience · 2024Review
- Using a semi-automated approach to quantify Unidentified Bright Objects in Neurofibromatosis type 1 and linkages to cognitive and academic outcomes.Magnetic resonance imaging · 2023Article
- Higher-resolution quantification of white matter hypointensities by large-scale transfer learning from 2D images on the JPSC-AD cohort.Human brain mapping · 2022Article
- Performance of three freely available methods for extracting white matter hyperintensities: FreeSurfer, UBO Detector, and BIANCA.Human brain mapping · 2022Article
- Outlier detection in multimodal MRI identifies rare individual phenotypes among more than 15,000 brains.Human brain mapping · 2022Article
Corrections and comments
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Authors and funding
7 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
White matter hyperintensities (WMH) of presumed vascular origin are frequently found in MRIs of healthy older adults. WMH are also associated with aging and cognitive decline. Here, we compared and validated three algorithms for WMH extraction: FreeSurfer (T1w), UBO Detector (T1w + FLAIR), and FSL's Brain Intensity AbNormality Classification Algorithm (BIANCA; T1w + FLAIR) using a longitudinal dataset comprising MRI data of cognitively healthy older adults (baseline N = 231, age range 64-87 years). As reference we manually segmented WMH in T1w, three-dimensional (3D) FLAIR, and two-dimensional (2D) FLAIR images which were used to assess the segmentation accuracy of the different automated algorithms. Further, we assessed the relationships of WMH volumes provided by the algorithms with Fazekas scores and age. FreeSurfer underestimated the WMH volumes and scored worst in Dice Similarity Coefficient (DSC = 0.434) but its WMH volumes strongly correlated with the Fazekas scores (r
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