Curtis Nathan Wiens1, Shawn Joseph Kisch2,
Catherine D. G. Hines3, Huanzhou Yu4, Angel R. Pineda5,
Philip M. Robson6, Jean H. Brittain7, Scott B. Reeder,
38, Charles A. McKenzie1,2
1Department of Physics and Astronomy,
University of Western Ontario, London, Ont, Canada; 2Department of
Medical Biophysics, University of Western Ontario, London, Ont, Canada; 3Department
of Biomedical Engineering, University of Wisconsin-Madison, Madison, WI,
United States; 4Applied Science Laboratory, GE Healthcare, Menlo
Park, CA, United States; 5Department of Mathematics, California
State University, Fullerton, CA, United States; 6Department of
Radiology, Beth Israel Deaconess Medical Center and Harvard Medical School,
Boston, MA, United States; 7Applied Science Laboratory, GE
Healthcare, Madison, WI, United States; 8Department of Radiology,
University of Wisconsin-Madison, Madison, WI, United States
Using
different undersampling patterns for the non-calibration and calibration
echoes has been shown to improve SNR per unit time of Parallel Imaging
accelerated IDEAL reconstructions by up to 40%. The different acceleration factors and
k-space undersampling patterns result in different noise enhancement in the
non-calibration and calibration echoes. In this work the T2*-IDEAL
reconstruction is modified to include noise weighting and demonstrate that
SNR improves with the modified reconstruction. For 14.2 fold accelerated phantom data, an
11.9% increase in mean SNR for all phantoms and a maximum 27% increase in SNR
over a single phantom was measured.