ArticleFrontiers in neurology2016
Modeling the Presence of Myelin and Edema in the Brain Based on Multi-Parametric Quantitative MRI.
Article in Frontiers in neurology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 63 papers.
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Who cites it
63 citing papers in PubMed, 100 citations in OpenAlex.
- 3D quantitative synthetic MRI for assessing Alzheimer's clinical syndrome, subjective cognitive impairment, and mild cognitive impairment.Neuroradiology · 2026Article
- Multimodal MRI Reveals Brain Structural Differences and Executive Dysfunction in Early Methamphetamine Abstinence.Brain and behavior · 2026Article
- Multi-contrast dual-resolution UTE for myelin fraction mapping and structural imaging.Magma (New York, N.Y.) · 2026Article
- Investigation of quantitative synthetic MRI in the evaluation of attention-deficit/hyperactivity disorder.Quantitative imaging in medicine and surgery · 2026Article
- Multimodal Magnetic Resonance Imaging Signatures of White Matter Hyperintensities: Mechanistic Insights Into Pathobiological Heterogeneity.Journal of stroke · 2026Review
- Electron Density and Effective Atomic Number of Normal-Appearing Adult Brain Tissues: Age-Related Changes and Correlation with Myelin Content.Tomography (Ann Arbor, Mich.) · 2025Article
- Three-Dimensional Efficient Myelin-Weighted Imaging Utilizing Direct Visualization of Short Transverse Relaxation Time Component (ViSTa).Human brain mapping · 2025Article
- MRI-based human brain atlases of R1, R2, proton density, and myelin volume fraction using synthetic quantitative imaging at 1.5 T.Journal of neurology · 2025Article
- UTE MRI for assessing demyelination in an mTBI mouse model: An open-field low-intensity blast study.NeuroImage · 2025Article
- Association between cardiorespiratory fitness and total brain myelin volume among older adults.European review of aging and physical activity : official journal of the European Group for Research into Elderly and Physical Activity · 2025Article
- Synthetic MRI in Progressive MS: Associations with Disability.AJNR. American journal of neuroradiology · 2025Article
- Neurological disability and brain grey matter atrophy in primary progressive multiple sclerosis are determined by microstructural lesional changes, but not by lesion load.Journal of neurology · 2025Article
- Article
- Decoding Brain Development and Aging: Pioneering Insights From MRI Techniques.Investigative radiology · 2025Review
- Evaluation of gray-matter and white-matter microstructural abnormalities in children with growth hormone deficiency: a comprehensive assessment with synthetic magnetic resonance imaging.Quantitative imaging in medicine and surgery · 2025Article
- Evaluating T1, T2 Relaxation, and Proton Density in Normal Brain Using Synthetic MRI with Fast Imaging Protocol.Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine · 2024Article
- Age-stratified Assessment of Brain Volumetric Segmentation on the Indian Population Using Quantitative Magnetic Resonance Imaging.Clinical neuroradiology · 2024Article
- Quantifying myelin in neonates using magnetic resonance imaging: a systematic literature review.Clinical and experimental pediatrics · 2024Article
- So You Want to Image Myelin Using MRI: Magnetic Susceptibility Source Separation for Myelin Imaging.Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine · 2024Review
- Evaluating age-and gender-related changes in brain volumes in normal adult using synthetic magnetic resonance imaging.Brain and behavior · 2024Article
3 more citing papers are in PubMed but not listed here.
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Authors and funding
4 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The aim of this study was to present a model that uses multi-parametric quantitative MRI to estimate the presence of myelin and edema in the brain. The model relates simultaneous measurement of R1 and R2 relaxation rates and proton density to four partial volume compartments, consisting of myelin partial volume, cellular partial volume, free water partial volume, and excess parenchymal water partial volume. The model parameters were obtained using spatially normalized brain images of a group of 20 healthy controls. The pathological brain was modeled in terms of the reduction of myelin content and presence of excess parenchymal water, which indicates the degree of edema. The method was tested on spatially normalized brain images of a group of 20 age-matched multiple sclerosis (MS) patients. Clear differences were observed with respect to the healthy controls: the MS group had a 79 mL smaller brain volume (1069 vs. 1148 mL), a 38 mL smaller myelin volume (119 vs. 157 mL), and a 21 mL larger excess parenchymal water volume (78 vs. 57 mL). Template regions of interest of various brain structures indicated that the myelin partial volume in the MS group was 1.6 ± 1.5% lower for gray matter (GM) structures and 2.8 ± 1.0% lower for white matter (WM) structures. The excess parenchymal water partial volume was 9 ± 10% larger for GM and 5 ± 2% larger for WM. Manually placed ROIs indicated that the results using the template ROIs may have suffered from loss of anatomical detail due to the spatial normalization process. Examples of the application of the method on high-resolution images are provided for three individual subjects: a 45-year-old healthy subject, a 72-year-old healthy subject, and a 45-year-old MS patient. The observed results agreed with the expected behavior considering both age and disease. In conclusion, the proposed model may provide clinically important parameters, such as the total brain volume, degree of myelination, and degree of edema, based on a single qMRI acquisition with a clinically acceptable scan time.
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