Image reconstruction in the GRAPPA algorithm formalism

Yufang Bao, Andrew A. Maudsley

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

1 Scopus citations

Abstract

In this paper is presented a novel parallel image reconstruction algorithm that follows the same formalism as the existing GRAPPA reconstruction, and is termed as the extended GRAPPA algorithm, which is equivalent to the Generalized SENSE (GenSENSE) algorithm in reconstructing a highresolution sensitivity-invariant MR image. Based on this understanding, a concept of weight map is introduced for reconstruction, and the existing GRAPPA algorithm is further interpreted as an approximate of the extended GRAPPA algorithm by selectively choosing weights of significant value in the map for reconstruction.

Original languageEnglish (US)
Title of host publication2007 4th IEEE International Symposium on Biomedical Imaging
Subtitle of host publicationFrom Nano to Macro - Proceedings
Pages113-116
Number of pages4
DOIs
StatePublished - Nov 27 2007
Event2007 4th IEEE International Symposium on Biomedical Imaging: From Nano to Macro; ISBI'07 - Arlington, VA, United States
Duration: Apr 12 2007Apr 15 2007

Publication series

Name2007 4th IEEE International Symposium on Biomedical Imaging: From Nano to Macro - Proceedings

Other

Other2007 4th IEEE International Symposium on Biomedical Imaging: From Nano to Macro; ISBI'07
CountryUnited States
CityArlington, VA
Period4/12/074/15/07

Keywords

  • GenSENSE image reconstruction
  • GRAPPA
  • MRI
  • Parallel imaging

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Medicine(all)

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    Bao, Y., & Maudsley, A. A. (2007). Image reconstruction in the GRAPPA algorithm formalism. In 2007 4th IEEE International Symposium on Biomedical Imaging: From Nano to Macro - Proceedings (pp. 113-116). [4193235] (2007 4th IEEE International Symposium on Biomedical Imaging: From Nano to Macro - Proceedings). https://doi.org/10.1109/ISBI.2007.356801