Abstract #1152

Automatic coil selection to suppress motion artifacts in exercise real-time cine imaging

Chong Chen¹, Yingmin Liu², Yu Ding³, Mathew Tong⁴, Yuchi Han⁴, and Rizwan Ahmad⁵

¹Biomedical Engineering, The Ohio State Univerity, Columbus, OH, United States, ²Davis Heart and Lung Research Institute, The Ohio Sate University, Columbus, OH, United States, ³Davis Heart and Lung Research Institute, The Ohio State University, Columbus, OH, United States, ⁴Internal Medicine, The Ohio State University, Colubmus, OH, United States, ⁵Biomedical Engineering, The Ohio Sate University, Columbus, OH, United States

Synopsis

Keywords: Artifacts, ArtifactsWe propose a novel method to automatically identify and discard coils that strongly contribute to image artifacts. This is achieved by projecting coil images to the space spanned by the ESPIRiT coil sensitivity maps. The proposed method is evaluated using the real-time cine data collected from twelve volunteers during exercise. The artifacts in the reconstructed real-time cine images are suppressed significantly with the proposed coil selection method.

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