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Abstract #3244

Quantitative Evaluation of Self-Gating and nonuniform self-gating for highly irregular respiratory patterns

Patrick Metze1, Tobias Speidel1, Fabian Straubm├╝ller1, and Volker Rasche1,2
1Internal Medicine II, Ulm University Medical Center, Ulm, Germany, 2Core Facility Small Animal Imaging (CF-SANI), Ulm University, Ulm, Germany

In this work we evaluate the proposed nonuniform self-gating (nuSG) method for lung imaging in highly irregular respiratory patterns and compare its performance to image-based and k-space-based gating methods and to a breath-hold reference. Functional parameters (proton fraction, fractional ventilation) and image sharpness are evaluated, with the nuSG algorithm showing a superior performance in case of fractional ventilation and image sharpness. In more uniform motion patterns its performance is similar to image-based SG and both techniques outperform k-space based gating.

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