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 T<inf>1</inf> and T<inf>2</inf> 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 T<inf>2</inf> 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
PublisherIEEE Computer Society
Pages423-428
Number of pages6
Volume2015-April
ISBN (Print)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

Other

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

Fingerprint

Magnetic resonance
Imaging techniques
Magnetic resonance imaging
Relaxation time
Parameter estimation
Tissue

Keywords

  • Compressed sensing
  • Image reconstruction
  • Low-rank decomposition
  • MRI
  • T<inf>1</inf> mapping
  • T<inf>2</inf> mapping

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Signal Processing

Cite this

Eliasi, P. A., Feng, L., Otazo, R., & Rangan, S. (2015). Fast magnetic resonance parametric imaging via structured low-rank matrix reconstruction. In Conference Record of the 48th Asilomar Conference on Signals, Systems and Computers (Vol. 2015-April, pp. 423-428). [7094477] IEEE Computer Society. https://doi.org/10.1109/ACSSC.2014.7094477

Fast magnetic resonance parametric imaging via structured low-rank matrix reconstruction. / Eliasi, Parisa Amiri; Feng, Li; Otazo, Ricardo; Rangan, Sundeep.

Conference Record of the 48th Asilomar Conference on Signals, Systems and Computers. Vol. 2015-April IEEE Computer Society, 2015. p. 423-428 7094477.

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

Eliasi, PA, Feng, L, Otazo, R & Rangan, S 2015, Fast magnetic resonance parametric imaging via structured low-rank matrix reconstruction. in Conference Record of the 48th Asilomar Conference on Signals, Systems and Computers. vol. 2015-April, 7094477, IEEE Computer Society, pp. 423-428, 48th Asilomar Conference on Signals, Systems and Computers, ACSSC 2015, Pacific Grove, United States, 11/2/14. https://doi.org/10.1109/ACSSC.2014.7094477
Eliasi PA, Feng L, Otazo R, Rangan S. Fast magnetic resonance parametric imaging via structured low-rank matrix reconstruction. In Conference Record of the 48th Asilomar Conference on Signals, Systems and Computers. Vol. 2015-April. IEEE Computer Society. 2015. p. 423-428. 7094477 https://doi.org/10.1109/ACSSC.2014.7094477
Eliasi, Parisa Amiri ; Feng, Li ; Otazo, Ricardo ; Rangan, Sundeep. / Fast magnetic resonance parametric imaging via structured low-rank matrix reconstruction. Conference Record of the 48th Asilomar Conference on Signals, Systems and Computers. Vol. 2015-April IEEE Computer Society, 2015. pp. 423-428
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