ArticleMagnetic resonance in medicine2022
Optimization of magnetization transfer contrast for EPI FLAIR brain imaging.
Article in Magnetic resonance in medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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6 citing papers in PubMed, 11 citations in OpenAlex.
- Potential of fluid-attenuated inversion recovery diffusion-weighted imaging in patients with acute cerebral infarction.Radiological physics and technology · 2026Article
- Ultra-high contrast MRI of the brain and spinal cord using directly acquired and synthetic BipoLAr Inversion Recovery (BLAIR) images.Quantitative imaging in medicine and surgery · 2026Review
- Deep learning initialized compressed sensing (Deli-CS) in volumetric spatio-temporal subspace reconstruction.Magma (New York, N.Y.) · 2025Article
- Improving the lesion appearance on FLAIR images synthetized from quantitative MRI: a fast, hybrid approach.Magma (New York, N.Y.) · 2024Article
- Ultrafast Brain MRI at 3 T for MS: Evaluation of a 51-Second Deep Learning-Enhanced T2-EPI-FLAIR Sequence.Diagnostics (Basel, Switzerland) · 2024Article
- Ultrafast MRI using deep learning echoplanar imaging for a comprehensive assessment of acute ischemic stroke.European radiology · 2023Article
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Authors and funding
16 authors at 4 institutions in 3 countries.
Funding
Abstract
purposeTo evaluate the impact of magnetization transfer (MT) on brain tissue contrast in turbo-spin-echo (TSE) and EPI fluid-attenuated inversion recovery (FLAIR) images, and to optimize an MT-prepared EPI FLAIR pulse sequence to match the tissue contrast of a clinical reference TSE FLAIR protocol.
methodsFive healthy volunteers underwent 3T brain MRI, including single slice TSE FLAIR, multi-slice TSE FLAIR, EPI FLAIR without MT-preparation, and MT-prepared EPI FLAIR with variations of the MT-preparation parameters, including number of preparation pulses, pulse amplitude, and resonance offset. Automated co-registration and gray matter (GM) versus white matter (WM) segmentation was performed using a T1-MPRAGE acquisition, and the GM versus WM signal intensity ratio (contrast ratio) was calculated for each FLAIR acquisition.
resultsWithout MT preparation, EPI FLAIR showed poor tissue contrast (contrast ratio = 0.98), as did single slice TSE FLAIR. Multi-slice TSE FLAIR provided high tissue contrast (contrast ratio = 1.14). MT-prepared EPI FLAIR closely approximated the contrast of the multi-slice TSE FLAIR images for two combinations of the MT-preparation parameters (contrast ratio = 1.14). Optimized MT-prepared EPI FLAIR provided a 50% reduction in scan time compared to the reference TSE FLAIR acquisition.
conclusionOptimized MT-prepared EPI FLAIR provides comparable brain tissue contrast to the multi-slice TSE FLAIR images used in clinical practice.
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