ArticleAJNR. American journal of neuroradiology2017
Synthetic MRI in the Detection of Multiple Sclerosis Plaques.
Article in AJNR. American journal of neuroradiology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 61 papers.
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Who cites it
61 citing papers in PubMed, 104 citations in OpenAlex.
- Synthetic MRI and radiomics in multiple sclerosis: improving precision in diagnosis and prognosis.Radiological physics and technology · 2026Review
- Multimodal Quantitative MRI of White and Gray Matter: Associations with Myelin-Related Metrics in the Healthy Adult Brain Using Synthetic MRI and IVIM-DWI.Journal of clinical medicine · 2026Article
- Clinical Image Quality and Reader Variability in 3D Synthetic Brain MRI Compared with Conventional MRI.Tomography (Ann Arbor, Mich.) · 2026Article
- Regularization via gradient attribution for multiple sclerosis lesion segmentation.Frontiers in medicine · 2026Article
- Optimization of the Data Pattern and Analysis Algorithm for the T2-based Water Suppression Diffusion MRImaging (T2wsup-dMRI) Technique.Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine · 2025Article
- Clinical Application of MAGiC Method in Distinguishing Between Pituitary Adenoma and Rathke's Cleft Cyst.Diagnostics (Basel, Switzerland) · 2025Article
- Neuroimaging Reader Study on Clinical Sensitivity and Specificity Using Synthetic MRI Based on MR Quantification.AJNR. American journal of neuroradiology · 2025Article
- Synthetic MR: Clinical applications in neuroradiology.Neuroradiology · 2025Review
- Article
- Comparison of Syn T2-FLAIR and Syn DIR with conventional T2-FLAIR in displaying white matter hyperintensities in migraine patients.Neuroradiology · 2025Article
- Lesion assessment in multiple sclerosis: a comparison between synthetic and conventional fluid-attenuated inversion recovery imaging.Frontiers in neurology · 2025Article
- Cancer detection in patients with prostate-specific antigen levels within the grey zone: can synthetic magnetic resonance imaging aid in the differentiation between prostate cancer and noncancerous lesions?Quantitative imaging in medicine and surgery · 2024Article
- 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
- Zero-DeepSub: Zero-shot deep subspace reconstruction for rapid multiparametric quantitative MRI using 3D-QALAS.Magnetic resonance in medicine · 2024Article
- Histogram analysis of MR quantitative parameters: are they correlated with prognostic factors in prostate cancer?Abdominal radiology (New York) · 2024Article
- Brain volume measured by synthetic magnetic resonance imaging in adult moyamoya disease correlates with cerebral blood flow and brain function.Scientific reports · 2024Article
- The value of synthetic MRI in detecting the brain changes and hearing impairment of children with sensorineural hearing loss.Frontiers in neuroscience · 2024Article
- Generating Synthetic Radiological Images with PySynthMRI: An Open-Source Cross-Platform Tool.Tomography (Ann Arbor, Mich.) · 2023Article
- Current state of pediatric neuro-oncology imaging, challenges and future directions.Neoplasia (New York, N.Y.) · 2023Review
1 more citing papers are in PubMed but not listed here.
Corrections and comments
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Authors and funding
15 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
background and purposeSynthetic MR imaging enables the creation of various contrast-weighted images including double inversion recovery and phase-sensitive inversion recovery from a single MR imaging quantification scan. Here, we assessed whether synthetic MR imaging is suitable for detecting MS plaques. MATERIALS AND
methodsQuantitative and conventional MR imaging data on 12 patients with MS were retrospectively analyzed. Synthetic T2-weighted, FLAIR, double inversion recovery, and phase-sensitive inversion recovery images were produced after quantification of T1 and T2 values and proton density. Double inversion recovery images were optimized for each patient by adjusting the TI. The number of visible plaques was determined by a radiologist for a set of these 4 types of synthetic MR images and a set of conventional T1-weighted inversion recovery, T2-weighted, and FLAIR images. Conventional 3D double inversion recovery and other available images were used as the criterion standard. The total acquisition time of synthetic MR imaging was 7 minutes 12 seconds and that of conventional MR imaging was 6 minutes 29 seconds The lesion-to-WM contrast and lesion-to-WM contrast-to-noise ratio were calculated and compared between synthetic and conventional double inversion recovery images.
resultsThe total plaques detected by synthetic and conventional MR images were 157 and 139, respectively (
conclusionsSynthetic MR imaging enabled detection of more MS plaques than conventional MR imaging in a comparable acquisition time. The contrast for MS plaques on synthetic double inversion recovery images was better than on conventional double inversion recovery images.
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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.