Speeding up dynamic spiral chemical shift imaging with incoherent sampling and low-rank matrix completion

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Abstract

Purpose

To improve the temporal and spatial resolution of dynamic 13C spiral chemical shift imaging via incoherent sampling and low-rank matrix completion (LRMC).

Methods

Spiral CSI data were both simulated and acquired in rats, and undersampling was implemented retrospectively and prospectively by pseudorandomly omitting a fraction of the spiral interleaves. Undersampled data were reconstructed with both LRMC and a conventional inverse nonuniform fast Fourier transform (iNUFFT) and compared with fully sampled data.

Results

Two-fold undersampling with LRMC reconstruction enabled a two-fold improvement in temporal or spatial resolution without significant artifacts or spatiotemporal distortion. Conversely, undersampling with iNUFFT reconstruction created strong artifacts that obscured the image. LRMC performed better at time points with strong metabolite signal.

Conclusion

Incoherent undersampling and LRMC provides a way to increase the spatiotemporal resolution of spiral CSI without degrading data integrity. Magn Reson Med 77:951–960, 2017. © 2016 International Society for Magnetic Resonance in Medicine

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