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Abstract #4569

Relaxation parameter estimation from limited time points

Tianle Zhao1, Weitian Chen2, and Thierry Blu1

1Department of Electronic Engineering, The Chinese University of Hong Kong, Shatin, Hong Kong, 2Department of Imaging and Interventional Radiology, The Chinese University of Hong Kong, Shatin, Hong Kong

T1rho is a useful biomarker for the diagnosis of several diseases. Current imaging techniques usually use uniform sampling and require a relatively large number of samples to get reliable estimations of T1rho. We show that the intuitive uniform sampling is not optimal, and propose an optimal sampling strategy. We also propose a fast estimation algorithm, which (with the use of spatial redundancy) provides accurate estimates of the T1rho relaxation map from as few as 3 different spin-lock time samples.

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