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Abstract #1237

Accelerated 4D Flow Imaging with Compressed Sensing and Radial Undersampling Pattern on Cartesian Grid

Jing Liu1, Petter Dyverfeldt1, Michael Hope1, David Saloner1

1University of California San Francisco, San Francisco, CA, United States

In this study, different undersampling patterns were used to accelerate phase-contrast imaging. Our preliminary results of aorta flow imaging have shown that radial like pattern on Cartesian grid is simple to implement and less sensitive to undersampling artifacts. Image reconstruction with compressed sensing provides good image quality and accurate flow measurements.

Keywords

accelerate accelerated acceleration accurate aorta aortic applied artifacts assessment away cardiac channel cine coil combination comparable comprehensive compressed contract contrast coordinates cycle designed directional domain encoded encodes encoding errors even every except exploiting explores feet flow frames frequencies full fully future gated gating good grid hampered head hope horizontal interleaved investigated like long magnitude maps materials matrix measured minutes onto parallel pattern patterns petter powerful preliminary prospectively quality quantitative radial reconstructed reconstruction reconstructions reduce resolution respectively respiratory robust rounded sampled sampling scanner scanning selected sensing sensitive sensitivity sets sparsity spatial studied subjects suggested taken temporal third tolerance tool trajectories trajectory velocity whose window zero