Highly parallel volumetric imaging with a 32-element RF coil array

Yudong Zhu, Christopher J. Hardy, Daniel K. Sodickson, Randy O. Giaquinto, Charles L. Dumoulin, Gontran Kenwood, Thoralf Niendorf, Hubert Lejay, Charles A. McKenzie, Michael A. Ohliger, Neil M. Rofsky

Research output: Contribution to journalArticlepeer-review

115 Scopus citations

Abstract

The improvement of MRI speed with parallel acquisition is ultimately an SNR-limiled process. To offset acquisition- and reconstruction-related SNR losses, practical parallel imaging at high accelerations should include the use of a many-element array with a high intrinsic signal-to-noise ratio (SNR) and spatial-encoding capability, and an advantageous imaging paradigm. We present a 32-element receive-coil array and a volumetric paradigm that address the SNR challenge at high accelerations by maximally exploiting multidimensional acceleration in conjunction with noise averaging. Geometric details beyond an initial design concept for the array were determined with the guidance of simulations. Imaging with the support of 32-channel data acquisition systems produced in vivo results with up to 16-fold acceleration, including images from rapid abdominal and MRA studies.

Original languageEnglish
Pages (from-to)869-877
Number of pages9
JournalMagnetic Resonance in Medicine
Volume52
Issue number4
DOIs
StatePublished - Oct 2004
Externally publishedYes

Keywords

  • Abdominal imaging
  • Coil design
  • High acceleration
  • MRA
  • Parallel imaging
  • Volumetric imaging

Fingerprint

Dive into the research topics of 'Highly parallel volumetric imaging with a 32-element RF coil array'. Together they form a unique fingerprint.

Cite this