Maximum likelihood estimator for signal intensity in STEAM-based MR imaging techniques

Ahmed S. Fahmy, Nael F. Osman, Heba A. Shalaby

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

Abstract

Stimulated echo acquisition mode (STEAM) is a generic imaging technique that lies at the core of many magnetic resonance imaging (MRI) techniques such MRI tagging, displacement encoded MRI, black-blood cardiac imaging. Nevertheless, tissue deformation causes frequency shift of the MR signal and leads to severe signal attenuation. In this work, a maximum likelihood estimator for the signal amplitude is proposed and used to correct the image artifacts. Numerical simulation and real MR data are used to test and validate the proposed method.

Original languageEnglish (US)
Title of host publicationProceedings - 2011 IEEE 7th International Conference on Intelligent Computer Communication and Processing, ICCP 2011
Pages319-322
Number of pages4
DOIs
StatePublished - Nov 14 2011
Event2011 IEEE 7th International Conference on Intelligent Computer Communication and Processing, ICCP 2011 - Cluj-Napoca, Romania
Duration: Aug 25 2011Aug 27 2011

Publication series

NameProceedings - 2011 IEEE 7th International Conference on Intelligent Computer Communication and Processing, ICCP 2011

Conference

Conference2011 IEEE 7th International Conference on Intelligent Computer Communication and Processing, ICCP 2011
CountryRomania
CityCluj-Napoca
Period8/25/118/27/11

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Keywords

  • MRI
  • artifacts
  • black blood
  • tissue deformation

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Networks and Communications

Cite this

Fahmy, A. S., Osman, N. F., & Shalaby, H. A. (2011). Maximum likelihood estimator for signal intensity in STEAM-based MR imaging techniques. In Proceedings - 2011 IEEE 7th International Conference on Intelligent Computer Communication and Processing, ICCP 2011 (pp. 319-322). [6047888] (Proceedings - 2011 IEEE 7th International Conference on Intelligent Computer Communication and Processing, ICCP 2011). https://doi.org/10.1109/ICCP.2011.6047888