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Abstract #1112

M-Estimator for Robust Parameter Fitting in Quantitative Cardiac T1 Mapping

Yidong Zhao1, Changchun Yang1, Lu Huang2, Liming Xia2, Sebastian Weingärtner1, and Qian Tao1
1Department of Imaging Physics, Technische Universiteit Delft, Delft, Netherlands, 2Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China


Quantitative cardiac T1 mapping involves nonlinear parameter estimation after MR acquisition. The widely used minimum mean square error (MMSE) estimator assumes Gaussian additive noise, and can be sensitive to outliers of non-Gaussian nature, such as those caused by cardiac motion. In this work, we propose to apply robust loss functions, which are part of the M-estimator family, with increased robustness to outliers. Experiments on MOLLI and SAPPHIRE sequences showed that the M-estimators were able to improve the T1 estimation robustness, significantly reducing the standard deviation (SD) error of the estimated T1 map in comparison to MMSE.

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