Adaptive SENSE reconstruction for parallel imaging with massive array coils

Jong Bum Son, Jim Ji, Mary P. McDougall, Steve M. Wright

Research output: Contribution to journalArticle

3 Citations (Scopus)

Abstract

This paper presents an adaptive SENSE reconstruction method for parallel magnetic resonance imaging with a large number of localized coils. This method uses a Gaussian model to obtain improved coil sensitivity estimate. For image reconstruction, it dynamically selects a subset of receiver channels, in a pixel-by-pixel fashion, to improve computational efficiency and the signal-to-noise ratio (SNR). Computer simulations and real experiments show that the proposed method reconstructs images with reduced artifacts and higher SNR than the SENSE method.

Original languageEnglish
Pages (from-to)1064-1067
Number of pages4
JournalAnnual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings
Volume26 II
Publication statusPublished - 2004
Externally publishedYes

Fingerprint

Signal to noise ratio
Pixels
Imaging techniques
Magnetic resonance
Computational efficiency
Image reconstruction
signal-to-noise ratio
pixel
Computer simulation
computer simulation
artifact
Experiments
method
experiment

Keywords

  • Parallel MRI
  • Phased-array coils
  • PILS
  • SENSE
  • Single echo acquisition

ASJC Scopus subject areas

  • Bioengineering

Cite this

Adaptive SENSE reconstruction for parallel imaging with massive array coils. / Son, Jong Bum; Ji, Jim; McDougall, Mary P.; Wright, Steve M.

In: Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings, Vol. 26 II, 2004, p. 1064-1067.

Research output: Contribution to journalArticle

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