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Abstract #1912

Radial K-Space Acquisition Improves Robustness of MR-Based Attenuation Maps for MR/PET Quantification in an Animal Imaging Study of the Abdomen

Jason Bini1, 2, Philip Robson1, Claudia Calcagno1, Antoine Millon1, 3, Mark Lobatto1, 4, Zahi A. Fayad1, 5

1Translational and Molecular Imaging Institute, Mount Sinai School of Medicine, New York, United States; 2Department of Biomedical Engineering, City College of New York, New York, United States; 3Department of Vascular Surgery, University Hospital of Lyon, Lyon, France; 4Department of Vascular Medicine, Academic Medical Center, Amsterdam, Netherlands; 5Department of Radiology, Mount Sinai School of Medicine, New York, United States

In this study, we propose a radial k-space MR acquisition sequence designed to redistribute coherent breathing artifacts that result from Cartesian k-space trajectories into incoherent pseudo-noise spread across the image domain. It is proposed that the use of a radial sequence with automatic segmentation, replacing subjective user interaction in image processing, will facilitate more robust segmentation of MR images to generate attenuation maps. The objective of the current study was to then qualitatively and quantitatively evaluate the respective MR-based attenuation maps generated, in addition to their resultant quantitative PET images, to evaluate alternative preclinical MR/PET protocols.