ArticleBMC neuroscience2020
Inter-scanner reproducibility of brain volumetry: influence of automated brain segmentation software.
Article in BMC neuroscience, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers, 2 of them syntheses that pooled it.
What it found
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Who cites it
30 citing papers in PubMed, 2 syntheses or guidelines pooled it, 44 citations in OpenAlex.
- A whole-brain voxel-based analysis of structural abnormalities in PTSD: An ENIGMA-PGC study.European psychiatry : the journal of the Association of European Psychiatrists · 2025Pooled it
- Exploring approaches to tackle cross-domain challenges in brain medical image segmentation: a systematic review.Frontiers in neuroscience · 2024Pooled it
- Field-Strength Dependence of Automated Subcortical Volumetry: A Paired 3 T-7 T Benchmarking Study of BrainSuite, FastSurfer and NextBrain.Journal of imaging informatics in medicine · 2026Article
- Agreement and Calibration Between FreeSurfer and Visually Quality-Controlled FSL/FAST-ALVIN Lateral Ventricle Volumetry in a Population-Based MRI Cohort.Brain sciences · 2026Article
- Brain Structural Changes and Cognitive-Clinical Profiles in Late-Onset Unexplained Epilepsy.Neurology · 2026Article
- Cerebral small vessel disease score associated with brain hypoperfusion predicts cognitive decline: a longitudinal study.BMC medical imaging · 2025Article
- Analysis of Factors Affecting Quality in Structural Magnetic Resonance Images.Human brain mapping · 2025Article
- Volumetry of Selected Brain Regions-Can We Compare MRI Examinations of Different Manufacturers and Field Strengths?Clinical neuroradiology · 2025Article
- Visualization of perivascular spaces in the human brain with 5-T magnetic resonance imaging.BMC neuroscience · 2025Article
- More similarity than difference: Comparison of within- and between-sex variance in early adolescent brain structure.Imaging neuroscience (Cambridge, Mass.) · 2025Article
- BrainAgeNeXt: Advancing brain age modeling for individuals with multiple sclerosis.Imaging neuroscience (Cambridge, Mass.) · 2025Article
- Deep learning-based automatic segmentation of brain structures on MRI: A test-retest reproducibility analysis.Computational and structural biotechnology journal · 2025Article
- Quantitative brain volumetry in neurological disorders: from disease mechanisms to software solutions.Polish journal of radiology · 2025Review
- Comparing automated subcortical volume estimation methods; amygdala volumes estimated by FSL and FreeSurfer have poor consistency.Human brain mapping · 2024Article
- More similarity than difference: comparison of within- and between-sex variance in early adolescent brain structure.Research square · 2024Article
- Comparing Automated Subcortical Volume Estimation Methods; Amygdala Volumes Estimated by FSL and FreeSurfer Have Poor Consistency.bioRxiv : the preprint server for biology · 2024Article
- Superpixel-ComBat modeling: A joint approach for harmonization and characterization of inter-scanner variability in T1-weighted images.Imaging neuroscience (Cambridge, Mass.) · 2024Article
- Reliability of automated brain volumetric analysis: A test by comparing NeuroQuant and volBrain software.Brain and behavior · 2023Article
- Reliability of brain atrophy measurements in multiple sclerosis using MRI: an assessment of six freely available software packages for cross-sectional analyses.Neuroradiology · 2023Article
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Authors and funding
7 authors at 1 institution in 1 country.
Funding
Abstract
backgroundThe inter-scanner reproducibility of brain volumetry is important in multi-site neuroimaging studies, where the reliability of automated brain segmentation (ABS) tools plays an important role. This study aimed to evaluate the influence of ABS tools on the consistency and reproducibility of the quantified brain volumetry from different scanners.
methodsWe included fifteen healthy volunteers who were scanned with 3D isotropic brain T1-weighted sequence on three different 3.0 Tesla MRI scanners (GE, Siemens and Philips). For each individual, the time span between image acquisitions on different scanners was limited to 1 h. All the T1-weighted images were processed with FreeSurfer v6.0, FSL v5.0 and AccuBrain
resultsThe mean inter-scanner CV values per brain structure among three MRI scanners ranged from 6.946 to 12.29% (mean, 9.577%) for FreeSurfer, 7.245 to 20.98% (mean, 12.60%) for FSL and 1.348 to 8.800% (mean value, 3.546%) for AccuBrain
conclusionThere is a large discrepancy in the inter-scanner reproducibility of brain volumetry when using different processing software. Image acquisition protocols and selection of ABS tool for brain volumetry quantification have impact on the robustness of results in multi-site studies.
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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.