TY - JOUR
T1 - 3D myocardial contraction imaging based on dynamic grid interpolation
T2 - Theory and simulation analysis
AU - Bu, Shuhui
AU - Shiina, Tsuyoshi
AU - Yamakawa, Makoto
AU - Takizawa, Hotaka
PY - 2007
Y1 - 2007
N2 - Accurate assessment of local myocardial contraction is important for diagnosis of ischemic heart disease, because decreases of myocardial motion often appear in the early stages of the disease. Three-dimensional (3-D) assessment of the stiffness distribution is required for accurate diagnosis of ischemic heart disease. Since myocardium motion occurs radially within the left ventricle wall and the ultrasound beam propagates axially, conventional approaches, such as tissue Doppler imaging and strain-rate imaging techniques, cannot provide us with enough quantitative information about local myocardial contraction. In order to resolve this problem, we propose a novel myocardial contraction imaging system which utilizes the weighted phase gradient method, the extended combined autocorrelation method, and the dynamic grid interpolation (DGI) method. Prom the simulation results, we conclude that the strain image's accuracy and contrast have been improved by the proposed method.
AB - Accurate assessment of local myocardial contraction is important for diagnosis of ischemic heart disease, because decreases of myocardial motion often appear in the early stages of the disease. Three-dimensional (3-D) assessment of the stiffness distribution is required for accurate diagnosis of ischemic heart disease. Since myocardium motion occurs radially within the left ventricle wall and the ultrasound beam propagates axially, conventional approaches, such as tissue Doppler imaging and strain-rate imaging techniques, cannot provide us with enough quantitative information about local myocardial contraction. In order to resolve this problem, we propose a novel myocardial contraction imaging system which utilizes the weighted phase gradient method, the extended combined autocorrelation method, and the dynamic grid interpolation (DGI) method. Prom the simulation results, we conclude that the strain image's accuracy and contrast have been improved by the proposed method.
KW - Combined autocorrelation
KW - Deformable model
KW - Left ventricle
KW - Myocardial contraction function
KW - Weighted phase gradient
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U2 - 10.1541/ieejeiss.127.1732
DO - 10.1541/ieejeiss.127.1732
M3 - Article
AN - SCOPUS:48149111633
VL - 127
SP - 1732-1742+35
JO - IEEJ Transactions on Electronics, Information and Systems
JF - IEEJ Transactions on Electronics, Information and Systems
SN - 0385-4221
IS - 10
ER -