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Abstract #4474

Respiratory Motion Signals Extracted from 3D Image-Based Navigation and from PCA of SI-Projections: Initial Findings in Whole-Heart Imaging using a Free-Running Framework

John Heerfordt1,2, Nemanja Masala1, Lorenzo Di Sopra1, Christopher W. Roy1, Bastien Milani1, Jérôme Yerly1,3, Jessica A.M. Bastiaansen1, Davide Piccini1,2,4, and Matthias Stuber1,3

1Department of Radiology, University Hospital (CHUV) and University of Lausanne (UNIL), Lausanne, Switzerland, 2Advanced Clinical Imaging Technology, Siemens Healthcare AG, Lausanne, Switzerland, 3Center for Biomedical Imaging (CIBM), Lausanne, Switzerland, 4LTS5, École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland

In continuously acquired whole-heart coronary MRA, it is not fully understood how unitless respiratory self-gating signals relate to actual respiratory displacement and drift. Therefore, self-gating signals extracted from principal component analyses of 1D projections oriented in the superior-inferior (SI) direction were compared to image-based navigators. Whole-heart data from continuous uninterrupted 3D radial bSSFP acquisitions were used to reconstruct time series of 3D sub-images with a temporal resolution of 0.6 seconds. Preliminary findings suggest that the SI-directed motion obtained from these sub-images is better described by respiratory self-gating signals created from three principal components rather than from one principal component alone.

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