ArticleMagnetic resonance in medicine2023
Simultaneous Optimization of MP2RAGE T
Article in Magnetic resonance in medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
5 citing papers in PubMed.
- Ultra-High Field 7T MRI in a Drug-Resistant Pediatric Epilepsy Cohort: Image Comparison and Radiologic Outcomes.Neurology · 2025Article
- A closer look: pediatric neuroimaging at 7T.Pediatric radiology · 2025Review
- Quantitative TImaging neuroscience (Cambridge, Mass.) · 2025Article
- Extent of piriform cortex resection in children with temporal lobe epilepsy.Annals of clinical and translational neurology · 2023Article
- Simultaneous Optimization of MP2RAGE TMagnetic resonance in medicine · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
14 authors.
Funding
Abstract
purposeThe MP2RAGE sequence is typically optimized for either T
methodsUsing the extended phase graph formalism, the signal evolution of the MP2RAGE sequence was simulated incorporating T
resultsFLAWS contrast images could be obtained while maintaining >85% of the optimal UNI contrast-to-noise ratio. Using TI
conclusionFLAWS and UNI images could be obtained in a single scan with 0.65 mm isotropic resolution, providing a set of high-contrast images and full brain coverage in a clinically applicable scan time. Images with excellent anatomical detail were demonstrated over a wide age range using the optimized parameter set.
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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.