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Abstract #0438

Lung Imaging and Proton Fraction Quantification for Highly Irregular Respiratory Patterns Using Nonuniform Self-Gating

Patrick Metze1, Tobias Speidel2, Fabian Straubmüller1, and Volker Rasche1,2
1Department of Internal Medicine II, University Ulm Medical Center, Ulm, Germany, 2Core Facility Small Animal Imaging (CF-SANI), Ulm University, Ulm, Germany

Most self-gating methods rely on information that is extracted either from k-space itself or from high temporal resolution sliding-window images. The obtained one-dimensional gating signal is analysed with respect to a dominant and characteristic frequency. These approaches are prone to fail in case of highly non-uniform motion.

The presented application of nonuniform Self-Gating based on a two-dimensional correlation matrix is capable of achieving high resolution proton fraction maps in human subjects with non-regular respiratory motion without the need of time consuming respiratory gating during acquisition.

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