Abstract #5054

Improved image-based navigators (iNAVs) for free-breathing cine DENSE using principle component analysis to separate the stimulated echo and T1 relaxation signals

Xiaoying Cai¹, Yang Yang¹, Xiaodong Zhong^2,3, Daniel S Weller⁴, Michael Salerno^1,5,6, and Frederick H Epstein^1,5

¹Biomedical Engineering, University of Virginia, Charlottesville, VA, United States, ²MR R&D Collaborations, Siemens Healthcare, Atlanta, GA, United States, ³Department of Radiology and Imaging Sciences, Emory University, Atlanta, GA, ⁴Electrical and Computer Engineering, University of Virginia, Charlottesville, VA, United States, ⁵Radiology, University of Virginia, ⁶Medicine, University of Virginia

Cine displacement encoding with stimulated echoes (DENSE) is an accurate strain imaging technique that generally requires breath-holding. We have recently developed a free-breathing method with image-based navigators (iNAVs) that makes use of the localized signal generation property of stimulated echoes (STE) to facilitate the estimation of heart motion due to respiration. However the non-localized echo due to T1 relaxation presents challenges. We propose to use principle component analysis (PCA) to separate the STE and T1-relaxation echo signals and improve the accuracy of motion estimation with iNAVs for free-breathing cine DENSE.

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