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This is a Quantitative Study study.

High spatial resolution cardiac T1 mapping on 1.5T and 3T utilizing deep learning-based image reconstruction

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The proposed method achieves higher resolution T1 maps, improving accuracy in cardiac imaging.
Resolution upgrades reach a precision of (1.13 mm)2, aligning well with vendor T1 values.
Accelerated single-shot acquisitions utilize k-space undersampling and advanced neural networks for reconstruction.
This approach may enhance the detection of small lesions, benefiting patients needing precise cardiac evaluations.

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Deep learning-based reconstruction shows improved spatial resolution of cardiac T1 maps, indicating potential for better lesion detection.

Amsel et al. (2025) studied this question.

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Deep learning-based reconstruction shows improved spatial resolution of cardiac T1 maps, indicating potential for better lesion detection.