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. © Springer-Verlag Berlin Heidelberg 2007.
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CITATION STYLE
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). Springer Verlag. https://doi.org/10.1007/978-3-540-72907-5_6
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