ArticleJournal of neuroimaging : official journal of the American Society of Neuroimaging2022
Super-resolution reconstruction of T2-weighted thick-slice neonatal brain MRI scans.
Article in Journal of neuroimaging : official journal of the American Society of Neuroimaging, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed.
- Brain structural features with functional priori to classify Parkinson's disease and multiple system atrophy using diagnostic MRI.Scientific reports · 2025Article
- 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
- High-Resolution 3D MRI With Deep Generative Networks via Novel Slice-Profile Transformation Super-Resolution.IEEE access : practical innovations, open solutions · 2023Article
- Simultaneous high-resolution TMagnetic resonance in medicine · 2022Article
- Super-resolution reconstruction of T2-weighted thick-slice neonatal brain MRI scans.Journal of neuroimaging : official journal of the American Society of Neuroimaging · 2022Article
- To shift or to rotate? Comparison of acquisition strategies for multi-slice super-resolution magnetic resonance imaging.Frontiers in neuroscience · 2022Article
- Quantification of Intracranial Structures Volume in Fetuses Using 3-D Volumetric MRI: Normal Values at 19 to 37 Weeks' Gestation.Frontiers in neuroscience · 2022Article
Corrections and comments
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Authors and funding
12 authors.
Funding
Abstract
background and purposeSuper-resolutionreconstruction (SRR) can be used to reconstruct 3-dimensional (3D) high-resolution (HR) volume from several 2-dimensional (2D) low-resolution (LR) stacks of MRI slices. The purpose is to compare lengthy 2D T2-weighted HR image acquisition of neonatal subjects with 3D SRR from several LR stacks in terms of image quality for clinical and morphometric assessments.
methodsLR brain images were acquired from neonatal subjects to reconstruct isotropic 3D HR volumes by using SRR algorithm. Quality assessments were done by an experienced pediatric radiologist using scoring criteria adapted to newborn anatomical landmarks. The Wilcoxon signed-rank test was used to compare scoring results between HR and SRR images. For quantitative assessments, morphology-based segmentation was performed on both HR and SRR images and Dice coefficients between the results were computed. Additionally, simple linear regression was performed to compare the tissue volumes.
resultsNo statistical difference was found between HR and SRR structural scores using Wilcoxon signed-rank test (p = .63, Z = .48). Regarding segmentation results, R
conclusionQualitative and quantitative assessments showed that 3D SRR of several LR images produces images that are of comparable quality to standard 2D HR image acquisition for healthy neonatal imaging without loss of anatomical details with similar edge definition allowing the detection of fine anatomical structures and permitting comparable morphometric measurement.
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