ArticleCommunications biology2025
Multi-contrast generation and quantitative MRI using a transformer-based framework with RF excitation embeddings.
Article in Communications biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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1 citing paper in PubMed.
- Multi-contrast generation and quantitative MRI using a transformer-based framework with RF excitation embeddings.Communications biology · 2025Article
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6 authors.
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Abstract
Magnetic resonance imaging (MRI) relies on radiofrequency (RF) excitation of proton spin. Clinical diagnosis requires a comprehensive collation of biophysical data via multiple MRI contrasts, acquired using a series of RF sequences that lead to lengthy examinations. Here, we developed a vision transformer-based framework that explicitly utilizes RF excitation information alongside per-subject calibration data (acquired within 28.2 s), to generate a wide variety of image contrasts including fully quantitative molecular, water relaxation, and magnetic field maps. The method was validated across healthy subjects and a cancer patient in two different imaging sites, and proved to be 94% faster than alternative protocols. The transformer-based MRI framework (TBMF) may support the efforts to reveal the molecular composition of the human brain tissue in a wide range of pathologies, while offering clinically attractive scan times.
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