The Empirical Effect of Gaussian Noise in Undersampled MRI Reconstruction.

ABSTRACT: In Fourier-based medical imaging, sampling below the Nyquist rate results in an underdetermined system, in which a linear reconstruction will exhibit artifacts. Another consequence is lower signal-to-noise ratio (SNR) because of fewer acquired measurements. Even if one could obtain information to perfectly disambiguate the underdetermined system, the reconstructed image could still have lower image quality than a corresponding fully sampled acquisition because of reduced measurement time. The coupled effects of low SNR and underdetermined system during reconstruction makes it difficult to isolate the impact of low SNR on image quality. To this end, we present an image quality prediction process that reconstructs fully sampled, fully determined data with noise added to simulate the SNR loss

SUBMITTER: Virtue P 

PROVIDER: S-EPMC5906070 | biostudies-literature | 2017 Dec

REPOSITORIES: biostudies-literature