ArticleFrontiers in neuroscience2021
Fast and High-Resolution Neonatal Brain MRI Through Super-Resolution Reconstruction From Acquisitions With Variable Slice Selection Direction.
Article in Frontiers in neuroscience, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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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
12 citing papers in PubMed, 20 citations in OpenAlex.
- Brain MRI before and at term equivalent age predicts motor and cognitive outcomes in very preterm infants.Neuroimage. Reports · 2025Article
- MRI at low field: A review of software solutions for improving SNR.NMR in biomedicine · 2025Review
- Unsupervised Transformer Learning for Rapid and High-Quality MRI Data Acquisition.Health data science · 2025Article
- Super-Field MRI Synthesis for Infant Brains Enhanced by Dual Channel Latent Diffusion.Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention · 2024Article
- Bridging the gap: improving correspondence between low-field and high-field magnetic resonance images in young people.Frontiers in neurology · 2024Article
- Review of deep learning and artificial intelligence models in fetal brain magnetic resonance imaging.World journal of clinical cases · 2023Review
- Optimizing imaging resolution in brain MRI: understanding the impact of technical factors.Journal of medicine and life · 2023Article
- Simultaneous high-resolution TMagnetic resonance in medicine · 2022Article
- Scan-Specific Generative Neural Network for MRI Super-Resolution Reconstruction.IEEE transactions on medical imaging · 2022Article
- Automated 3D Fetal Brain Segmentation Using an Optimized Deep Learning Approach.AJNR. American journal of neuroradiology · 2022Article
- Gradient-Guided Isotropic MRI Reconstruction from Anisotropic Acquisitions.IEEE transactions on computational imaging · 2021Article
- MRI Super-Resolution Through Generative Degradation Learning.Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted InterventionArticle
Corrections and comments
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Authors and funding
4 authors at 2 institutions in 1 country.
Funding
Abstract
The brain of neonates is small in comparison to adults. Imaging at typical resolutions such as one cubic mm incurs more partial voluming artifacts in a neonate than in an adult. The interpretation and analysis of MRI of the neonatal brain benefit from a reduction in partial volume averaging that can be achieved with high spatial resolution. Unfortunately, direct acquisition of high spatial resolution MRI is slow, which increases the potential for motion artifact, and suffers from reduced signal-to-noise ratio. The purpose of this study is thus that using super-resolution reconstruction in conjunction with fast imaging protocols to construct neonatal brain MRI images at a suitable signal-to-noise ratio and with higher spatial resolution than can be practically obtained by direct Fourier encoding. We achieved high quality brain MRI at a spatial resolution of isotropic 0.4 mm with 6 min of imaging time, using super-resolution reconstruction from three short duration scans with variable directions of slice selection. Motion compensation was achieved by aligning the three short duration scans together. We applied this technique to 20 newborns and assessed the quality of the images we reconstructed. Experiments show that our approach to super-resolution reconstruction achieved considerable improvement in spatial resolution and signal-to-noise ratio, while, in parallel, substantially reduced scan times, as compared to direct high-resolution acquisitions. The experimental results demonstrate that our approach allowed for fast and high-quality neonatal brain MRI for both scientific research and clinical studies.
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Registered trials
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