ArticleHuman brain mapping2017
Simultaneous total intracranial volume and posterior fossa volume estimation using multi-atlas label fusion.
Article in Human brain mapping, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 1 of them a synthesis that pooled it.
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Who cites it
25 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Volumetric segmentation in the context of posterior fossa-related pathologies: a systematic review.Neurosurgical review · 2024Pooled it
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- PHASE: Personalized Head-based Automatic Simulation for Electromagnetic properties in 7T MRI.Magnetic resonance imaging · 2025Article
- Differences in cholinergic terminal density in adults with Down syndrome compared to neurotypical controls measured by [Neurobiology of aging · 2025Article
- Structural brain differences in essential tremor and Parkinson's disease deep brain stimulation patients.Journal of clinical neuroscience : official journal of the Neurosurgical Society of Australasia · 2023Observational
- A comparison of intracranial volume estimation methods and their cross-sectional and longitudinal associations with age.Human brain mapping · 2022Article
- Generalizing deep learning brain segmentation for skull removal and intracranial measurements.Magnetic resonance imaging · 2022Article
- Improved Segmentation of the Intracranial and Ventricular Volumes in Populations with Cerebrovascular Lesions and Atrophy Using 3D CNNs.Neuroinformatics · 2021Article
- Map3D: Registration-Based Multi-Object Tracking on 3D Serial Whole Slide Images.IEEE transactions on medical imaging · 2021Article
- Multiple Sclerosis Recognition by Biorthogonal Wavelet Features and Fitness-Scaled Adaptive Genetic Algorithm.Frontiers in neuroscience · 2021Article
- Structural Correlates of the Sensorimotor Cerebellum in Parkinson's Disease and Essential Tremor.Movement disorders : official journal of the Movement Disorder Society · 2020Article
- Generalizing Deep Whole Brain Segmentation for Pediatric and Post- Contrast MRI with Augmented Transfer Learning.Proceedings of SPIE--the International Society for Optical Engineering · 2020Article
- A fully automated pipeline for brain structure segmentation in multiple sclerosis.NeuroImage. Clinical · 2020Article
- Quantitative assessment of field strength, total intracranial volume, sex, and age effects on the goodness of harmonization for volumetric analysis on the ADNI database.Human brain mapping · 2019Article
- Acceleration of spleen segmentation with end-to-end deep learning method and automated pipeline.Computers in biology and medicine · 2019Article
- Reproducibility Evaluation of SLANT Whole Brain Segmentation Across Clinical Magnetic Resonance Imaging Protocols.Proceedings of SPIE--the International Society for Optical Engineering · 2019Article
- Brain structure segmentation in the presence of multiple sclerosis lesions.NeuroImage. Clinical · 2019Article
- SynSeg-Net: Synthetic Segmentation Without Target Modality Ground Truth.IEEE transactions on medical imaging · 2018Article
- Multi-atlas Parcellation in the Presence of Lesions: Application to Multiple Sclerosis.Patch-based techniques in medical imaging : 4th international workshop, Patch-MI 2018, held in conjunction with MICCAI 2018, Granada, Spain, September 20, 2018 : proceedings. Patch-MI (Workshop) (4th : 2018 : Granada, Spain) · 2018Article
- Towards Portable Large-Scale Image Processing with High-Performance Computing.Journal of digital imaging · 2018Review
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4 authors.
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Abstract
Total intracranial volume (TICV) is an essential covariate in brain volumetric analyses. The prevalent brain imaging software packages provide automatic TICV estimates. FreeSurfer and FSL estimate TICV using a scaling factor while SPM12 accumulates probabilities of brain tissues. None of the three provide explicit skull/CSF boundary (SCB) since it is challenging to distinguish these dark structures in a T1-weighted image. However, explicit SCB not only leads to a natural way of obtaining TICV (i.e., counting voxels inside the skull) but also allows sub-definition of TICV, for example, the posterior fossa volume (PFV). In this article, they proposed to use multi-atlas label fusion to obtain TICV and PFV simultaneously. The main contributions are: (1) TICV and PFV are simultaneously obtained with explicit SCB from a single T1-weighted image. (2) TICV and PFV labels are added to the widely used BrainCOLOR atlases. (3) Detailed mathematical derivation of non-local spatial STAPLE (NLSS) label fusion is presented. As the skull is clearly distinguished in CT images, we use a semi-manual procedure to obtain atlases with TICV and PFV labels using 20 subjects who both have a MR and CT scan. The proposed method provides simultaneous TICV and PFV estimation while achieving more accurate TICV estimation compared with FreeSurfer, FSL, SPM12, and the previously proposed STAPLE based approach. The newly developed TICV and PFV labels for the OASIS BrainCOLOR atlases provide acceptable performance, which enables simultaneous TICV and PFV estimation during whole brain segmentation. The NLSS method and the new atlases have been made freely available. Hum Brain Mapp 38:599-616, 2017. © 2016 Wiley Periodicals, Inc.
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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.