Ultrafast compartmental relaxation time mapping with linear algebraic modeling

Yi Zhang; Xiaoyang Liu; Jinyuan Zhou; Paul A Bottomley

Ultrafast compartmental relaxation time mapping with linear algebraic modeling

Proc Int Soc Magn Reson Med Sci Meet Exhib Int Soc Magn Reson Med Sci Meet Exhib. 2017 Apr:25:0071.

Authors

Yi Zhang¹, Xiaoyang Liu^{1

2}, Jinyuan Zhou^{1

3}, Paul A Bottomley¹

Affiliations

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

PMID: 28781585
PMCID: PMC5541891

Abstract

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..

Abstract

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