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.
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Yousef, T.A., Osman, N.F. (2007). Effect of Noise and Slice Profile on Strain Quantifications of Strain Encoding (SENC) MRI. In: Sachse, F.B., Seemann, G. (eds) Functional Imaging and Modeling of the Heart. FIMH 2007. Lecture Notes in Computer Science, vol 4466. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-72907-5_6
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DOI: https://doi.org/10.1007/978-3-540-72907-5_6
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-72906-8
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