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Abstract #1155

Self-Guided Retrospective Motion Correction (SEGMO) for Free-Breathing Whole-Heart Coronary MRA with 100% Acquisition Efficiency

Jianing Pang1, 2, Himanshu Bhat3, Behzad Sharif1, Zhaoyang Fan1, Edward Gill1, Troy LaBounty1, James Min1, Louise E.J. Thomson1, John D. Friedman1, Daniel S. Berman1, Debiao Li1, 4

1Cedars-Sinai Medical Center, Los Angeles, CA, United States; 2Northwestern University, Chicago, IL, United States; 3Siemens Medical Solutions USA Inc., Charlestown, MA, United States; 4University of California, Los Angeles, CA, United States

A respiratory motion correction method (SEGMO) is proposed for whole-heart coronary MRA. It

Keywords

accelerate accurate acquisition added affine approval artery artifacts bandwidth better binning bins bold breathing cedars chest clinical code coded combined comparing computing consent consuming coronary corporate corrected correction correlation cross dataset derived detect detecting detection diam diaphragm diaphragmatic directly disease domain dual effectively efficiency eliminates ensures estimation exquisite feasible finally fixed free gated gating gill give greatly guided guiding healthy heart hence hours inaccuracy inferior inherent italic john length make matrix measured medical middle minimizes model motion moving navigator navigators need next nonlinear northwestern optimization overall paired pang parallel pixel practice prepared prior profiles program projections prolonged promising proposed pulse qualitative quality quantitative radial readout realistic reconstructed reconstruction reconstructions reduces reformatted registration relationship residual resolution respiratory retrospective saturated scanner scheme schemes score scoring segment self setup sharpness shorter significantly software space static statistically subsequently suffer superior suppresses table takes trajectory translations troy twelve views volume volunteer wall weber whole written yielded