Imaging near metal with a MAVRIC-SEMAC hybrid. Academic Article uri icon

Overview

abstract

  • The recently developed multi-acquisition with variable resonance image combination (MAVRIC) and slice-encoding metal artifact correction (SEMAC) techniques can significantly reduce image artifacts commonly encountered near embedded metal hardware. These artifact reductions are enabled by applying alternative spectral and spatial-encoding schemes to conventional spin-echo imaging techniques. Here, the MAVRIC and SEMAC concepts are connected and discussed. The development of a hybrid technique that utilizes strengths of both methods is then introduced. The presented technique is shown capable of producing minimal artifact, high-resolution images near total joint replacements in a clinical setting.

publication date

  • January 1, 2011

Research

keywords

  • Algorithms
  • Artifacts
  • Image Enhancement
  • Image Interpretation, Computer-Assisted
  • Magnetic Resonance Imaging
  • Metals
  • Signal Processing, Computer-Assisted

Identity

Scopus Document Identifier

  • 79954433522

Digital Object Identifier (DOI)

  • 10.1002/mrm.22523

PubMed ID

  • 20981709

Additional Document Info

volume

  • 65

issue

  • 1