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Abstract #0071

Ultrafast compartmental relaxation time mapping with linear algebraic modeling

Yi Zhang1, Xiaoyang Liu1,2, Jinyuan Zhou1,3, and Paul A. Bottomley1

1Division of MR Research, Department of Radiology, Johns Hopkins University, Baltimore, MD, United States, 2Department of Electrical and Computer Engineering, Baltimore, MD, United States, 3F. M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Institute, Baltimore, MD, United States

Image contrast afforded by tissue longitudinal (T1) and transverse (T2) relaxation times is central to the success of modern MRI. Here, a recently-proposed ‘spectroscopy with linear algebraic modeling’ (SLAM) method is adapted to dramatically accelerate relaxation time imaging at 3 Tesla in phantoms, the abdomens of six volunteers and in six brain tumor patients. SLAM is validated by omitting up to 15/16ths (94%) of the data acquired retroactively from inversion recovery and multi-echo spin-echo sequences, and proactively applied to accelerate abdominal and brain tumor T1 and T2 measurements by up to 16-fold in humans.

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