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. Author manuscript; available in PMC: 2017 Apr 1.
Published in final edited form as: Magn Reson Imaging. 2016 Nov 15;37:51–55. doi: 10.1016/j.mri.2016.11.010

Fig 2.

Fig 2

Demonstration of the proposed method for extracting perfusion from multi-TI ASL data. a) Example SS and NS signals from the renal cortex. The black circles (NS') mark the NS signals that were reconstructed to correct for the imperfect-inversion artifact. b) The multi-TI difference signal dSn is the difference between the SS and NS' signal curves normalized by T1 relaxation. The solid line is the fit of our proposed model to the data.