Reproduce “MRIQT: Physics-Aware Diffusion Model for Image Quality Transfer in Neonatal Ultra-Low-Field MRI” on OpenResearch
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About this paper
Malek Al Abed, Sebiha Demir, Anne Groteklaes, Elodie Germani, Shahrooz Faghihroohi, Hemmen Sabir, Shadi Albarqouni
MRIQT enhances real neonatal ultra-low-field MRI toward high-field appearance. It estimates a frequency-domain filter from paired scans, uses it to create training inputs from high-field-only scans, and trains a 3D conditional diffusion model to refine real low-field images. On 34 pairs, MRIQT records 15.34 ± 1.046 dB versus 15.07 ± 0.920 dB for LoHiResGAN; raw input scores 15.84 ± 0.870 dB, so clinical utility remains unvalidated.
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