Sense reconstruction with inaccurate sensitivity functions: Effects and remedies

Dan Xu, Leslie Ying, Zhi-Pei Liang

Research output: Contribution to journalArticlepeer-review

Abstract

Image reconstruction in parallel imaging using an array of phased receiver coils involves solving a matrix equation whose coefficient matrix is formed from estimated coil sensitivity functions. Inaccurate sensitivity functions can create image artifacts and reduce signal-to-noise ratio (SNR). This paper discusses the effects of inaccurate sensitivity functions and proposes some remedies to reduce these effects. Specifically, a spatially varying wavelet denoising method is proposed to improve the accuracy of the estimated sensitivity maps, and a constrained reconstruction method is used to incorporate a priori information about the location of the regions of interest to further improve the SENSE reconstruction.

Original languageEnglish (US)
Pages (from-to)1112-1115
Number of pages4
JournalAnnual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings
Volume26 II
StatePublished - Dec 1 2004

Keywords

  • Constrained reconstruction
  • MRI
  • Parallel imaging
  • SENSE
  • Sensitivity map
  • Wavelet denoising

ASJC Scopus subject areas

  • Signal Processing
  • Biomedical Engineering
  • Computer Vision and Pattern Recognition
  • Health Informatics

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