Multicoil Dixon Chemical Species Separation with an Iterative Least-Squares Estimation Method

Scott B. Reeder*, Zhifei Wen, Huanzhou Yu, Angel R. Pineda, Garry E. Gold, Michael Markl, Norbert J. Pelc

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

373 Scopus citations

Abstract

This work describes a new approach to multipoint Dixon fat-water separation that is amenable to pulse sequences that require short echo time (TE) increments, such as steady-state free precession (SSFP) and fast spin-echo (FSE) imaging. Using an iterative linear least-squares method that decomposes water and fat images from source images acquired at short TE increments, images with a high signal-to-noise ratio (SNR) and uniform separation of water and fat are obtained. This algorithm extends to multicoil reconstruction with minimal additional complexity. Examples of single- and multicoil fat-water decompositions are shown from source images acquired at both 1.5T and 3.0T. Examples in the knee, ankle, pelvis, abdomen, and heart are shown, using FSE, SSFP, and spoiled gradient-echo (SPGR) pulse sequences. The algorithm was applied to systems with multiple chemical species, and an example of water-fat-silicone separation is shown. An analysis of the noise performance of this method is described, and methods to improve noise performance through multicoil acquisition and field map smoothing are discussed.

Original languageEnglish (US)
Pages (from-to)35-45
Number of pages11
JournalMagnetic resonance in medicine
Volume51
Issue number1
DOIs
StatePublished - Jan 2004

Keywords

  • Cardiac imaging
  • Fast spin echo
  • Fat suppression
  • Magnetic resonance imaging
  • Musculoskeletal imaging
  • Phased-array coils
  • Silicone
  • Steady-state free precession

ASJC Scopus subject areas

  • Radiology Nuclear Medicine and imaging

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