Multi-contrast generation and quantitative MRI using a transformer-based framework with RF excitation embeddings

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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Publication Details

Journal
Communications Biology
Published
2025-12-14
DOI
https://doi.org/10.1038/s42003-025-09371-3
Primary Topic
Advanced MRI Techniques and Applications
Type
article
Field-Weighted Citation Impact
0.00

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article

Multi-contrast generation and quantitative MRI using a transformer-based framework with RF excitation embeddings

Or Perlman, Moritz Zaiß, Alex Finkelstein, Nikita Vladimirov et al.
Communications Biology
Advanced MRI Techniques and Applications
article

Multi-contrast generation and quantitative MRI using a transformer-based framework with RF excitation embeddings

Or Perlman, Moritz Zaiß, Alex Finkelstein, Nikita Vladimirov, Dinor Nagar, Sahar Ifrah
article en

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.

Communications BiologyVol. 9(1)
Tel Aviv University (IL), Friedrich-Alexander-Universität Erlangen-Nürnberg (DE), Universitätsklinikum Erlangen (DE)
European Commission
Openalex Percentile: Top 45%
Advanced MRI Techniques and Applications
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Multi-contrast generation and quantitative MRI using a transformer-based framework with RF excitation embeddings — Or Perlman, Moritz Zaiß, et al. · Communications Biology (2025) | TGRS Research Map | TGRS