TY - GEN
T1 - Effect of noise and slice profile on strain quantifications of strain encoding (SENC) MRI
AU - Yousef, Tamer A.
AU - Osman, Nael F.
PY - 2007
Y1 - 2007
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=34548104360&partnerID=8YFLogxK
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U2 - 10.1007/978-3-540-72907-5_6
DO - 10.1007/978-3-540-72907-5_6
M3 - Conference contribution
AN - SCOPUS:34548104360
SN - 3540729062
SN - 9783540729068
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 50
EP - 59
BT - Functional Imaging and Modeling of the Heart - 4th International Conference, FIMH 2007 Proceedings
PB - Springer Verlag
T2 - 4th International Conference on Functional Imaging and Modeling of the Heart, FIMH 2007
Y2 - 7 June 2007 through 9 June 2007
ER -