A5094013571- Advanced MRI Techniques and Applications
- Medical Imaging Techniques and Applications
- Atomic and Subatomic Physics Research
- Electron Spin Resonance Studies
- Advanced Neuroimaging Techniques and Applications
- Advanced Image Processing Techniques
- Child Nutrition and Water Access
- Infant Development and Preterm Care
- Neonatal and fetal brain pathology
- Artificial Intelligence in Healthcare and Education
- Biomedical and Engineering Education
King's College London
2024
Wellcome Centre for Human Neuroimaging
2024
Measures of physical growth, such as weight and height have long been the predominant outcomes for monitoring child health evaluating interventional in public studies, including those that may impact neurodevelopment. While growth generally reflects overall nutritional status, it lacks sensitivity specificity to brain developing cognitive skills abilities. Psychometric tools, e.g., Bayley Scales Infant Toddler Development, afford more direct assessment development but they require language...
Owing to the high cost of modern MRI systems, their use in clinical care and neurodevelopmental research is limited hospitals universities income countries. Ultra-low-field systems with significantly lower scanning costs present a promising avenue towards global accessibility, however reduced SNR compared 1.5 or 3T limits applicability for use. In this paper, we describe deep learning-based super-resolution approach generate high-resolution isotropic T2-weighted scans from low-resolution...
Magnetic resonance imaging (MRI) enables non-invasive monitoring of healthy brain development and disease. Widely used higher field (>1.5 T) MRI systems are associated with high energy infrastructure requirements, costs. Recent ultra-low-field (<0.1T) provide a more accessible cost-effective alternative. However, it is not known whether anatomical neuroimaging can be to extract quantitative measures morphometry, what extent such correspond high-field MRI. Here we scanned 23 adults aged...
Motivation: Ultra-low-field MRI scanners offer a cost-effective and portable alternative to high-field neuroimaging. Goal(s): To quantify between-scanner test-retest reliability of 64mT brain scans, their correspondence 3T MRI. Approach: We scanned 23 healthy participants on two Hyperfine GE scanner using T1w T2w scans at multiple resolutions. segmented images into 98 structures estimated volumes. Results: demonstrate excellent volumetric estimates from ultra-low-field MRI, high scans. The...
Motivation: MRI remains inaccessible in many parts of the world, as are computational resources to perform neuroimaging analysis. We hope develop for a growing community low-resource settings. Goal(s): To scalable tools, building capacity across settings and supporting research. Approach: Partnership with Hyperfine, Flywheel numerous collaborators sub-Saharan Africa south Asia collect process scans children early years life. Results: Containerised workflows optimised ultra-low field...
Brain magnetic resonance imaging (MRI) is essential for diagnosis and neurodevelopmental research, but the high cost infrastructure demands of high-field MRI scanners restrict their use to high-income settings. To address this, more affordable energy-efficient ultra-low-field have been developed. However, reduced resolution signal-to-noise ratio resulting scans limit clinical utility, motivating development super-resolution techniques. The current state-of-the-art methods require either...
ABSTRACT Owing to the high cost of modern magnetic resonance imaging (MRI) systems, their use in clinical care and neurodevelopmental research is limited hospitals universities income countries. Ultra‐low‐field systems with significantly lower scanning costs present a promising avenue towards global MRI accessibility; however, reduced SNR compared 1.5 or 3 T limits applicability for use. In this paper, we describe deep learning‐based super‐resolution approach generate high‐resolution...