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This is a Quantitative Study study.

Highly Accelerated T1 and T2 Mapping in Water-Unsuppressed MRSI Using Generalized Series Modeling and Deep Learning

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The proposed method enables accurate and reproducible T1/T2 mapping using MRSI data.
Experiments showed that the implementation of the SPICE sequence reduced scan times significantly.
New model-based reconstruction techniques leverage deep learning for enhanced tissue characterization.
This imaging technology supports better assessment of structural and biochemical biomarkers simultaneously.

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Phantom and in vivo experiments demonstrate accurate T1/T2 mapping in MRSI, indicating improved multimodal imaging capabilities.

Li et al. (2025) studied this question.

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