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Abstract #0481

Off k-space center and spin-history artifacts Self-Navigator Intelligent Filter (SNIF) for quasi-random 3D-radial acquisitions

Tanguy Boucneau1,2,3, Brice Fernandez4, Peder E. Z. Larson5, Luc Darrasse1,2,3, and Xavier Maître1,2,3

1Laboratoire d'Imagerie par Résonance Magnétique Médicale et Multi-Modalités (IR4M), Université Paris-Sud, Orsay, France, 2Université Paris-Saclay, Orsay, France, 3CNRS, Orsay, France, 4Applications & Workflow, GE Healthcare, Orsay, France, 5Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA, United States

For 3D radial acquisitions featuring a quasi-random order of spoke orientations in k-space, implementable in UTE pulse sequences, respiratory and cardiac self-navigators are usually extracted from the assumed k-space center thanks to standard bandpass filters to perform self-gating. To remove more efficiently the background noise, SNIF, Self-Navigator Intelligent Filter, takes into account the underlying physics of the MR acquisition to filter out of the DC signal both off k-space center and spin-history effects. SNIF systematically enhances both respiratory and cardiac self-navigators. It even sometimes reveals their spectral first harmonics, which remained otherwise buried into the background noise.

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