CORDIS Project
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This project aims to revolutionize low-field magnetic resonance imaging (MRI) by developing an AI framework that optimizes imaging parameters in real-time. The goal is to create a fast, affordable MRI system that provides high-quality scans without the need for contrast agents, enhancing accessibility in healthcare.
Magnetic resonance imaging (MRI) is crucial to healthcare for its radiation-free, high-quality scans, but its high cost leaves 70% of the global population without access.
Emerging low-field MRI technology offers affordable, portable systems with transformative potential, but faces critical challenges: long scan times, low signal-to-noise ratio (SNR), and poor tissue contrast, which makes some tissues indistinguishable.
Although contrast agents help, they add risks.
Early studies showed that low…
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