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 Heerfordt^1,2, Nemanja Masala¹, Lorenzo Di Sopra¹, Christopher W. Roy¹, Bastien Milani¹, Jérôme Yerly^1,3, Jessica A.M. Bastiaansen¹, Davide Piccini^1,2,4, and Matthias Stuber^1,3

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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