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Abstract #1331

Extracting the respiratory signal from Pilot Tone for highly accelerated, respiratory-resolved whole-heart 4D flow imaging

Aaron Pruitt1, Peter Speier2, Chong Chen1, Yingmin Liu3, Ning Jin4, Orlando Simonetti5, and Rizwan Ahmad1
1Biomedical Engineering, The Ohio State University, Columbus, OH, United States, 2Siemens Healthcare GmbH, Erlangen, Germany, 3Dorothy M. Davis Heart and Lung Research Institute, The Ohio State University, Columbus, OH, United States, 4Siemens Medical Solutions USA, Inc., Columbus, OH, United States, 5Cardiovascular Medicine and Radiology, The Ohio State University, Columbus, OH, United States

Pilot Tone has recently been proposed as a novel approach towards physiological signal monitoring. Unlike self-gating, often relied upon by free-running, respiratory-resolved imaging sequences, Pilot Tone is generalizable to a multitude of imaging techniques without requiring additional pulse sequence modification or specialized k-space sampling. In this work, we combine Pilot Tone with our previously described highly accelerated and fully self-gated whole-heart 4D flow framework to reconstruct respiratory-resolved 4D flow images in three healthy subjects. We compare Pilot Tone and self-gating derived respiratory binning and demonstrate good agreement in aortic and pulmonary artery flow quantification between the two methods.

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