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Author

Tai-Shan Kang

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Open access Aug 2026

Robust T1ρ, T2, and T2* mapping via spin-locked MOLED with synthetic data-driven deep learning reconstruction

SL-MOLED provides accurate, repeatable, and artifact-robust quantitative mapping within a substantially reduced acquisition time, offering a promising framework for reliable multi-parametric MRI with potential for clinical translation.

Wei-Kun Chen, Qing Lin, Tai-Shan Kang et al. · 0 citations
Open access Aug 2026

Robust T1ρ, T2, and T2* mapping via spin-locked MOLED with synthetic data-driven deep learning reconstruction

Objective. To address the challenges of rapid and robust quantitative MRI, particularly for T1ρ mapping, by developing and evaluating a novel technique—spin-locked (SL) multiple overlapping echo detachment (SL-MOLED)—for efficient mapping of T1ρ, T2, and T2* relaxation times with reduced sensitivity to B0/B1 inhomogene...

Weikun Chen, Qing Lin, Taishan Kang et al. · 0 citations

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