3-D cardiac motion estimation by point-constrained optical flow algorithm (CROSBI ID 481592)
Prilog sa skupa u zborniku | izvorni znanstveni rad | međunarodna recenzija
Podaci o odgovornosti
Macan, Tvrtko ; Lončarić, Sven
engleski
3-D cardiac motion estimation by point-constrained optical flow algorithm
In this paper we propose a technique for 3-D motion estimation of the left ventricle from image sequence of a beating human heart. Accurate motion estimation of cardiac wall has been shown to be very important in studying coronary diseases. The proposed technique requires initial 3-D segmentation of left ventricle area obtained for each time frame during cardiac cycle. Characteristic points at its surface are detected, and matched in two consecutive frames by matching shape properties. Optical flow is computed from the sequence of images using gradient-based Horn-Schunck method, additionally constrained with motion estimates for characteristic surface points. Our work demonstrates application of Horn-Schunck optical flow algorithm for 3-D cardiac motion estimation, and proposes to improve the accuracy of estimation by introducing constraints obtained by shape-based matching method.
image segmentation; motion estimation; optical flow
nije evidentirano
nije evidentirano
nije evidentirano
nije evidentirano
nije evidentirano
nije evidentirano
Podaci o prilogu
255-259-x.
2001.
objavljeno
Podaci o matičnoj publikaciji
Proceedings of the 2nd International Symposium on Image and Signal Processing and Analysis
Lončarić, Sven ; Babić, Hrvoje
Zagreb: Sveučilišni računski centar Sveučilišta u Zagrebu (Srce)
Podaci o skupu
2nd International Symposium on Image and Signal Processing and Analysis
predavanje
19.06.2001-21.06.2001
Pula, Hrvatska