Abstract #0071

Ultrafast compartmental relaxation time mapping with linear algebraic modeling

Yi Zhang¹, Xiaoyang Liu^1,2, Jinyuan Zhou^1,3, 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 15/16^ths (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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