Recent research shows that ultra-high-field MRI at 7 Tesla (7T) has significantly greater resolution and utility in clinical practice compared to high-field MRI at 3T, especially in the diagnosis of brain diseases.
Scientists at the University of California, San Francisco, developed a machine learning algorithm to enhance 3T images by synthesizing images that resemble 7T. Their model improves the clarity of pathological tissue and represents a step towards evaluating clinical applications of synthetic MRI models at 7T.
Findings from a study presented at the 27th International Conference on Computational Medical Imaging and Computer-Assisted Interventions show that enhanced images are better at detecting brain abnormalities such as those seen in minor injuries. The synthesized 7T images enabled clearer discrimination of pathologies, which could improve the diagnosis of neurodegenerative diseases such as multiple sclerosis.
Source: Ferra
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