A simple method for rectified noise floor suppression: Phase-corrected real data reconstruction with application to diffusion-weighted imaging

  • Prah D
  • Paulson E
  • Nencka A
 et al. 
  • 30


    Mendeley users who have this article in their library.
  • 10


    Citations of this article.


Diffusion-weighted MRI is an intrinsically low signal-to-noise ratio application due to the application of diffusion-weighting gradients and the consequent longer echo times. The signal-to-noise ratio worsens with increasing image resolution and diffusion imaging methods that use multiple and higher b-values. At low signal-to-noise ratios, standard magnitude reconstructed diffusion-weighted images are confounded by the existence of a rectified noise floor, producing poor estimates of diffusion metrics. Herein, we present a simple method of rectified noise floor suppression that involves phase correction of the real data. This approach was evaluated for diffusion-weighted imaging data, obtained from ethanol and water phantoms and the brain of a healthy volunteer. The parameter fits from monoexponential, biexponential, and stretched-exponential diffusion models were computed using phase-corrected real data and magnitude data. The results demonstrate that this newly developed simple approach of using phase-corrected real images acts to reduce or even suppress the confounding effects of a rectified noise floor, thereby producing more accurate estimates of diffusion parameters.

Author-supplied keywords

  • DWI
  • Diffusion
  • Image reconstruction
  • MRI
  • Phase correction
  • Stretched-exponential

Get free article suggestions today

Mendeley saves you time finding and organizing research

Sign up here
Already have an account ?Sign in

Find this document

Get full text


  • Douglas E. Prah

  • Eric S. Paulson

  • Andrew S. Nencka

  • Kathleen M. Schmainda

Cite this document

Choose a citation style from the tabs below

Save time finding and organizing research with Mendeley

Sign up for free