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Enhancing ULF MRI with Deep Learning by dualisation is a document available to read on EtoBox.
This research article presents a dual-acquisition deep learning model aimed at enhancing the image quality of ultra-low-field (ULF) MRI, specifically for brain imaging at 0.055 T. The model significantly improves spatial resolution and reduces noise, achieving high-quality 3D images comparable to those from high-field MRI within a short scan time. This advancement has the potential to make MRI more accessible and affordable, particularly in low-income regions and point-of-care settings.
- Author
- dualisation
- Language
- EN