Calibrationless parallel MRI using CLEAR

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

29 Scopus citations

Abstract

"Auto-calibrated" parallel imaging (PI) strategies provide a robust mechanism for accelerating MRI acquisitions. However, most such strategies require the explicit formation of either coil sensitivity profiles or a cross-coil correlation operator, and as a result reconstruction corresponds to solving a challenging bilinear optimization problem. In this work, we present a novel image-domain approach to calibration-free parallel imaging (CPI) reconstruction called CLEAR. After reviewing contemporary parallel MRI strategies and overviewing CLEAR, we investigate its computational complexity and memory footprint, demonstrate its standalone application to undersampled Cartesian acquisitions, and discuss generalizations and future directions of investigation.

Original languageEnglish (US)
Title of host publicationConference Record of the 45th Asilomar Conference on Signals, Systems and Computers, ASILOMAR 2011
Pages75-79
Number of pages5
DOIs
StatePublished - Dec 1 2011
Event45th Asilomar Conference on Signals, Systems and Computers, ASILOMAR 2011 - Pacific Grove, CA, United States
Duration: Nov 6 2011Nov 9 2011

Publication series

NameConference Record - Asilomar Conference on Signals, Systems and Computers
ISSN (Print)1058-6393

Other

Other45th Asilomar Conference on Signals, Systems and Computers, ASILOMAR 2011
CountryUnited States
CityPacific Grove, CA
Period11/6/1111/9/11

Keywords

  • CLEAR
  • Calibrationless
  • Low-Rank
  • MRI
  • Parallel Imaging

ASJC Scopus subject areas

  • Signal Processing
  • Computer Networks and Communications

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