Parallel imaging: Some signal processing issues and solutions

Zhi Pei Liang, Lei Ying, Dan Xu, Lei Yuan

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Parallel imaging using multiple receiver coils has emerged as an effective tool to reduce imaging time in various MRI applications. Mathematically, the imaging equation can be expressed as a weighted Fourier transform, and the image reconstruction formula can be derived from Papoulis' generalized sampling theorem. Although perfect reconstructions can be obtained under ideal conditions, several signal processing problems exist in practical settings. This paper discusses some of these problems. Specifically, it analyzes the effect of data truncation, addresses the problem of estimating the coil sensitivity functions, and proposes a regularization scheme to cope with the ill-conditioned inverse problem associated with achieving high acceleration factors.

Original languageEnglish (US)
Title of host publication2004 2nd IEEE International Symposium on Biomedical Imaging
Subtitle of host publicationMacro to Nano
Pages1204-1207
Number of pages4
StatePublished - Dec 1 2004
Event2004 2nd IEEE International Symposium on Biomedical Imaging: Macro to Nano - Arlington, VA, United States
Duration: Apr 15 2004Apr 18 2004

Publication series

Name2004 2nd IEEE International Symposium on Biomedical Imaging: Macro to Nano
Volume2

Other

Other2004 2nd IEEE International Symposium on Biomedical Imaging: Macro to Nano
CountryUnited States
CityArlington, VA
Period4/15/044/18/04

ASJC Scopus subject areas

  • Engineering(all)

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    Liang, Z. P., Ying, L., Xu, D., & Yuan, L. (2004). Parallel imaging: Some signal processing issues and solutions. In 2004 2nd IEEE International Symposium on Biomedical Imaging: Macro to Nano (pp. 1204-1207). (2004 2nd IEEE International Symposium on Biomedical Imaging: Macro to Nano; Vol. 2).