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Abstract #3172

Combined Parallel Imaging & Compressed Sensing on 3D Multi-Spectral Imaging Near Metal Implants

Kevin M. Koch1, Kevin F. King1

1Global Applied Science Laboratory, GE Healthcare, Waukesha, WI, United States

3D Multi-Spectral Imaging (3D-MSI) can significantly reduce susceptibility artifacts near metal implants. In order to reduce these artifacts, 3D-MSI acquires a large amount of spectral and spatially encoded data. With such requirements, it is challenging to acquire high-resolution 3D-MSI images in a clinical environment. Here, we explore the combined effects of data-driven parallel imaging and compressed sensing in improving the resolution capabilities of 3D-MSI near a total knee replacement at 1.5T.