ReviewComputational and mathematical methods in medicine2015
MRI segmentation of the human brain: challenges, methods, and applications.
Review in Computational and mathematical methods in medicine, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 180 papers, 7 of them syntheses that pooled it.
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Who cites it
180 citing papers in PubMed, 7 syntheses or guidelines pooled it.
- Volumetric segmentation in the context of posterior fossa-related pathologies: a systematic review.Neurosurgical review · 2024Pooled it
- Diagnostic performance of hippocampal volumetry in Alzheimer's disease or mild cognitive impairment: a meta-analysis.European radiology · 2022Pooled it
- Anthropomorphic brain phantoms for use in MRI systems: a systematic review.Magma (New York, N.Y.) · 2022Pooled it
- Cross-Sectional Volumes and Trajectories of the Human Brain, Gray Matter, White Matter and Cerebrospinal Fluid in 9473 Typically Aging Adults.Neuroinformatics · 2021Pooled it
- Brain-based sex differences in autism spectrum disorder across the lifespan: A systematic review of structural MRI, fMRI, and DTI findings.NeuroImage. Clinical · 2021Pooled it
- Brain atrophy in cerebral small vessel diseases: Extent, consequences, technical limitations and perspectives: The HARNESS initiative.Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2020Pooled it
- Automated Segmentation of Tissues Using CT and MRI: A Systematic Review.Academic radiology · 2019Pooled it
- Volumetric reference data of the orbit: a deep learning MRI analysis in the German national cohort.Scientific reports · 2026Article
- Advances in Wearable Bioimaging.Advanced materials (Deerfield Beach, Fla.) · 2026Review
- Development and evaluation of an automated phase contrast magnetic resonance imaging algorithm for pediatric and adult cerebral blood flow measurement.Neuroradiology · 2026Article
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- Postnatal interaction of size and shape in the human endocranium and brain structures.Journal of anatomy · 2026Article
- A novel approach for contrast enhancement in medical images based on quantum-inspired enhancement algorithm.Quantitative imaging in medicine and surgery · 2026Article
- Ex vivo human brain volumetry: Validation of MRI measurements.Magnetic resonance in medicine · 2026Article
- A review of 3D printed medical implant design.3D printing in medicine · 2026Article
- Band-limited implicit neural representations for diffusion-weighted imaging denoising.Physics in medicine and biology · 2026Article
- Neuroimaging and consciousness: applications of PET, SPECT, and advanced MRI modalities.American journal of nuclear medicine and molecular imaging · 2026Review
- Precision of automatically generated generic regions of interest for direct assessment of perfusion-MRI.Frontiers in physiology · 2026Article
- InnerEye-HS: a disease-agnostic clinical tool for hippocampal segmentation.Brain communications · 2026Article
- Multimodal imaging and machine learning for diagnosis of Parkinson's disease with cognitive impairment: ASL and QSM as potential biomarkers.Frontiers in aging neuroscience · 2026Article
120 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Image segmentation is one of the most important tasks in medical image analysis and is often the first and the most critical step in many clinical applications. In brain MRI analysis, image segmentation is commonly used for measuring and visualizing the brain's anatomical structures, for analyzing brain changes, for delineating pathological regions, and for surgical planning and image-guided interventions. In the last few decades, various segmentation techniques of different accuracy and degree of complexity have been developed and reported in the literature. In this paper we review the most popular methods commonly used for brain MRI segmentation. We highlight differences between them and discuss their capabilities, advantages, and limitations. To address the complexity and challenges of the brain MRI segmentation problem, we first introduce the basic concepts of image segmentation. Then, we explain different MRI preprocessing steps including image registration, bias field correction, and removal of nonbrain tissue. Finally, after reviewing different brain MRI segmentation methods, we discuss the validation problem in brain MRI segmentation.
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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.