TY - GEN
T1 - Multi-slice three-dimensional myocardial strain tensor quantification using zHARP
AU - Abd-Elmoniem, Khaled Z.
AU - Stuber, Matthias
AU - Prince, Jerry L.
PY - 2007
Y1 - 2007
N2 - In this article we propose a novel method for calculating cardiac 3-D strain. The method requires the acquisition of myocardial short-axis (SA) slices only and produces the 3-D strain tensor at every point within every pair of slices. Three-dimensional displacement is calculated from SA slices using zHARP which is then used for calculating the local displacement gradient and thus the local strain tensor. There are three main advantages of this method. First, the 3-D strain tensor is calculated for every pixel without interpolation; this is unprecedented in cardiac MR imaging. Second, this method is fast, in part because there is no need to acquire long-axis (LA) slices. Third, the method is accurate because the 3-D displacement components are acquired simultaneously and therefore reduces motion artifacts without the need for registration. This article presents the theory of computing 3-D strain from two slices using zHARP, the imaging protocol, and both phantom and in-vivo validation.
AB - In this article we propose a novel method for calculating cardiac 3-D strain. The method requires the acquisition of myocardial short-axis (SA) slices only and produces the 3-D strain tensor at every point within every pair of slices. Three-dimensional displacement is calculated from SA slices using zHARP which is then used for calculating the local displacement gradient and thus the local strain tensor. There are three main advantages of this method. First, the 3-D strain tensor is calculated for every pixel without interpolation; this is unprecedented in cardiac MR imaging. Second, this method is fast, in part because there is no need to acquire long-axis (LA) slices. Third, the method is accurate because the 3-D displacement components are acquired simultaneously and therefore reduces motion artifacts without the need for registration. This article presents the theory of computing 3-D strain from two slices using zHARP, the imaging protocol, and both phantom and in-vivo validation.
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U2 - 10.1007/978-3-540-73273-0_6
DO - 10.1007/978-3-540-73273-0_6
M3 - Conference contribution
C2 - 17633689
AN - SCOPUS:38149134479
SN - 3540732721
SN - 9783540732723
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 62
EP - 73
BT - Information Processing in Medical lmaging - 20th International Conference, IPMI 2007, Proceedings
PB - Springer Verlag
T2 - 20th International Conference on Information Processing in Medical lmaging, IPMI 2007
Y2 - 2 July 2007 through 6 July 2007
ER -