Fast magnetic resonance parametric imaging via structured low-rank matrix reconstruction

Parisa Amiri Eliasi, Li Feng, Ricardo Otazo, Sundeep Rangan

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

Abstract

Magnetic Resonance Parametric Imaging is a recently-proposed method that permits quantitative determination of MR parameters such as the T1 and T2 relaxation times. In contrast to conventional MRI, one or more encoding parameters in the RF excitation are randomly varied over the scan and tissue parameters are inferred from the temporal response to the excitation. This work presents a novel low-rank model-based parametric matrix estimation method for joint reconstruction and parameter estimation suitable for highly accelerated (i.e. highly undersampled) scans. The method is demonstrated on T2 cardiac breath-hold imaging with varying spin echo times.

Original languageEnglish (US)
Title of host publicationConference Record of the 48th Asilomar Conference on Signals, Systems and Computers
EditorsMichael B. Matthews
PublisherIEEE Computer Society
Pages423-428
Number of pages6
ISBN (Electronic)9781479982974
DOIs
StatePublished - Apr 24 2015
Event48th Asilomar Conference on Signals, Systems and Computers, ACSSC 2015 - Pacific Grove, United States
Duration: Nov 2 2014Nov 5 2014

Publication series

NameConference Record - Asilomar Conference on Signals, Systems and Computers
Volume2015-April
ISSN (Print)1058-6393

Other

Other48th Asilomar Conference on Signals, Systems and Computers, ACSSC 2015
CountryUnited States
CityPacific Grove
Period11/2/1411/5/14

Keywords

  • Compressed sensing
  • Image reconstruction
  • Low-rank decomposition
  • MRI
  • T mapping
  • T mapping

ASJC Scopus subject areas

  • Signal Processing
  • Computer Networks and Communications

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