Website
http://dataportal.arc.gov.au/NCGP/API/grants/DP210101863
Funding Status
Active
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Funded Activity Summary
Biophysics-informed deep learning framework for magnetic resonance imaging. This project aims to bring about a paradigm shift from the conventional non-quantitative magnetic resonance imaging to ultra-fast, quantitative, and artefact free imaging. This project integrates biophysics and artificial intelligence, and it is expected to bring new knowledge in both fields. The expected outcomes of this project include next generation magnetic resonance imaging methods with a fundamental shift in the approach to image artefacts and image quantification. This project is expected to advance both single subject and population level biomedical imaging with greater accuracy and cost-effectiveness. This project also promotes explainable and generalisable artificial intelligence in medical imaging.Funded Activity Details
Start Date: 2022
End Date: 12-2024
Funding Scheme: Discovery Projects
Funding Amount: $518,700.00
Funder: Australian Research Council
Research Topics
ANZSRC Field of Research (FoR)
Central Nervous System | Medical Biotechnology | Biomedical Instrumentation | Medical Biotechnology Diagnostics (incl. Biosensors)
ANZSRC Socio-Economic Objective (SEO)
Medical Instruments | Expanding Knowledge in the Physical Sciences | Expanding Knowledge in the Biological Sciences |
