ArticlePloS one2012
Accuracy and reliability of automated gray matter segmentation pathways on real and simulated structural magnetic resonance images of the human brain.
Article in PloS one, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 53 papers.
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Who cites it
53 citing papers in PubMed.
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- Analysis of GFAP variants in UK Biobank suggests underdiagnosis or incomplete penetrance of adult-onset Alexander disease.Journal of neurology, neurosurgery, and psychiatry · 2025Article
- Modelling the overlap and divergence of autistic and schizotypal traits on hippocampal subfield volumes and regional cerebral blood flow.Molecular psychiatry · 2024Article
- Comparative validation of AI and non-AI methods in MRI volumetry to diagnose Parkinsonian syndromes.Scientific reports · 2023Article
- Modified MRI Anonymization (De-Facing) for Improved MEG Coregistration.Bioengineering (Basel, Switzerland) · 2022Article
- A multimodal neuroimaging study of brain abnormalities and clinical correlates in post treatment Lyme disease.PloS one · 2022Article
- Head CT: Toward Making Full Use of the Information the X-Rays Give.AJNR. American journal of neuroradiology · 2021Review
- Anterior vs Posterior Hippocampal Subfields in an Extended Psychosis Phenotype of Multidimensional Schizotypy in a Nonclinical Sample.Schizophrenia bulletin · 2021Article
- White matter volume alterations in hair-pulling disorder (trichotillomania).Brain imaging and behavior · 2020Article
- Assessment of brain volumes obtained from MP-RAGE and MP2RAGE images, quantified using different segmentation methods.Magma (New York, N.Y.) · 2020Article
- Engagement in Enriching Early-Life Activities Is Associated With Larger Hippocampal and Amygdala Volumes in Community-Dwelling Older Adults.The journals of gerontology. Series B, Psychological sciences and social sciences · 2020Article
- Creation of an anthropomorphic CT head phantom for verification of image segmentation.Medical physics · 2020Article
- A new virtue of phantom MRI data: explaining variance in human participant data.F1000Research · 2020Article
- SeSBAT: Single Subject Brain Analysis Toolbox. Application to Huntington's Disease as a Preliminary Study.Frontiers in systems neuroscience · 2020Article
- Imputation Strategy for Reliable Regional MRI Morphological Measurements.Neuroinformatics · 2020Article
- Article
- Brain Segmentation From Computed Tomography of Healthy Aging and Geriatric Concussion at Variable Spatial Resolutions.Frontiers in neuroinformatics · 2019Article
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Automated gray matter segmentation of magnetic resonance imaging data is essential for morphometric analyses of the brain, particularly when large sample sizes are investigated. However, although detection of small structural brain differences may fundamentally depend on the method used, both accuracy and reliability of different automated segmentation algorithms have rarely been compared. Here, performance of the segmentation algorithms provided by SPM8, VBM8, FSL and FreeSurfer was quantified on simulated and real magnetic resonance imaging data. First, accuracy was assessed by comparing segmentations of twenty simulated and 18 real T1 images with corresponding ground truth images. Second, reliability was determined in ten T1 images from the same subject and in ten T1 images of different subjects scanned twice. Third, the impact of preprocessing steps on segmentation accuracy was investigated. VBM8 showed a very high accuracy and a very high reliability. FSL achieved the highest accuracy but demonstrated poor reliability and FreeSurfer showed the lowest accuracy, but high reliability. An universally valid recommendation on how to implement morphometric analyses is not warranted due to the vast number of scanning and analysis parameters. However, our analysis suggests that researchers can optimize their individual processing procedures with respect to final segmentation quality and exemplifies adequate performance criteria.
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