Effect of noise and slice profile on strain quantifications of strain encoding (SENC) MRI

Tamer A. Yousef, Nael Fakhry Osman

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

Abstract

SENC is a new technique for imaging tissue deformation, such as the strain of cardiac tissue due to contraction. SENC strain quantifications are limited to one direction, the through-plane direction. However, this is sufficient to image circumferential and longitudinal strain in the long- and short-axis views, respectively. The factors that affect the accuracy of SENC strain mesurements are the slice profile and the signal-to-noise ratio (SNR). In this work, these factors are analyzed in order to optimize the SENC method for strain quantifications.

Original languageEnglish (US)
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Pages50-59
Number of pages10
Volume4466 LNCS
StatePublished - 2007
Event4th International Conference on Functional Imaging and Modeling of the Heart, FIMH 2007 - Salt Lake City, UT, United States
Duration: Jun 7 2007Jun 9 2007

Other

Other4th International Conference on Functional Imaging and Modeling of the Heart, FIMH 2007
CountryUnited States
CitySalt Lake City, UT
Period6/7/076/9/07

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ASJC Scopus subject areas

  • Computer Science(all)
  • Biochemistry, Genetics and Molecular Biology(all)
  • Theoretical Computer Science

Cite this

Yousef, T. A., & Osman, N. F. (2007). Effect of noise and slice profile on strain quantifications of strain encoding (SENC) MRI. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4466 LNCS, pp. 50-59)