On the influence of zero-padding on the nonlinear operations in Quantitative Susceptibility Mapping Academic Article uri icon

Overview

MeSH Major

  • Algorithms
  • Brain
  • Image Interpretation, Computer-Assisted
  • Image Processing, Computer-Assisted
  • Magnetic Resonance Imaging
  • Multiple Sclerosis

abstract

  • Zero padding of the complex GRE data prior to nonlinear susceptibility mapping improves image accuracy and apparent resolution compared to zero padding afterwards. It also provides better delineation of MS lesion geometry, which may improve lesion subclassification and disease monitoring in MS patients.

publication date

  • January 2017

Research

keywords

  • Academic Article

Identity

Language

  • eng

PubMed Central ID

  • PMC5160043

Digital Object Identifier (DOI)

  • 10.1016/j.mri.2016.08.020

PubMed ID

  • 27587225

Additional Document Info

start page

  • 154

end page

  • 159

volume

  • 35