ArticlePloS one2013
Brain characterization using normalized quantitative magnetic resonance imaging.
Article in PloS one, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
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Who cites it
18 citing papers in PubMed, 28 citations in OpenAlex.
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- Synthesizing a Contrast-Enhancement Map in Patients with High-Grade Gliomas Based on a Postcontrast MR Imaging Quantification Only.AJNR. American journal of neuroradiology · 2018Article
- Conventional and synthetic MRI in multiple sclerosis: a comparative study.European radiology · 2018Article
- Normal Values of Magnetic Relaxation Parameters of Spine Components with the Synthetic MRI Sequence.AJNR. American journal of neuroradiology · 2018Article
- Improved Precision of Automatic Brain Volume Measurements in Patients with Clinically Isolated Syndrome and Multiple Sclerosis Using Edema Correction.AJNR. American journal of neuroradiology · 2018Article
- SyMRI of the Brain: Rapid Quantification of Relaxation Rates and Proton Density, With Synthetic MRI, Automatic Brain Segmentation, and Myelin Measurement.Investigative radiology · 2017Review
- Myelin Detection Using Rapid Quantitative MR Imaging Correlated to Macroscopically Registered Luxol Fast Blue-Stained Brain Specimens.AJNR. American journal of neuroradiology · 2017Article
- Whole Brain Magnetic Resonance Image Atlases: A Systematic Review of Existing Atlases and Caveats for Use in Population Imaging.Frontiers in neuroinformatics · 2017Review
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- Clinical validation of synthetic brain MRI in children: initial experience.Neuroradiology · 2017Article
- Modeling the Presence of Myelin and Edema in the Brain Based on Multi-Parametric Quantitative MRI.Frontiers in neurology · 2016Article
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- Functional magnetic resonance imaging in narcolepsy and the kleine-levin syndrome.Frontiers in neurology · 2014Review
- Multi-parametric representation of voxel-based quantitative magnetic resonance imaging.PloS one · 2014Article
- Application of Synthetic MRI for Direct Measurement of Magnetic Resonance Relaxation Time and Tumor Volume at Multiple Time Points after Contrast Administration: Preliminary Results in Patients with Brain Metastasis.Korean journal of radiologyArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectivesTo present a method for generating reference maps of typical brain characteristics of groups of subjects using a novel combination of rapid quantitative Magnetic Resonance Imaging (qMRI) and brain normalization. The reference maps can be used to detect significant tissue differences in patients, both locally and globally. MATERIALS AND
methodsA rapid qMRI method was used to obtain the longitudinal relaxation rate (R1), the transverse relaxation rate (R2) and the proton density (PD). These three tissue properties were measured in the brains of 32 healthy subjects and in one patient diagnosed with Multiple Sclerosis (MS). The maps were normalized to a standard brain template using a linear affine registration. The differences of the mean value ofR1, R2 and PD of 31 healthy subjects in comparison to the oldest healthy subject and in comparison to an MS patient were calculated. Larger anatomical structures were characterized using a standard atlas. The vector sum of the normalized differences was used to show significant tissue differences.
resultsThe coefficient of variation of the reference maps was high at the edges of the brain and the ventricles, moderate in the cortical grey matter and low in white matter and the deep grey matter structures. The elderly subject mainly showed significantly lower R1 and R2 and higher PD values along all sulci. The MS patient showed significantly lower R1 and R2 and higher PD values at the edges of the ventricular system as well as throughout the periventricular white matter, at the internal and external capsules and at each of the MS lesions.
conclusionBrain normalization of rapid qMRI is a promising new method to generate reference maps of typical brain characteristics and to automatically detect deviating tissue properties in the brain.
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