DocumentCode
2229263
Title
Detecting heart wall boundaries by tracking features in an echocardiogram sequence
Author
Chu, Chee-Hung Henry ; Delp, Edward J.
Author_Institution
Center for Adv. Comput. Studies, Univ. of Southwestern Louisiana, Lafayette, LA, USA
fYear
1988
fDate
25-28 Sep 1988
Firstpage
117
Lastpage
120
Abstract
An approach to extracting information from an echocardiogram sequence to the endocardial boundary as the heart undergoes deformation in a cardiac cycle is presented. Image velocities used as attributes of the edge segments are estimated by the image-flow approach, which relates the spatial intensity gradient to the temporal gradient. One component of the velocity can be directly computed, whereas the other must be recovered from other information. An algorithm based on the total-least-squares method is used to recover the lost components. Experimental results using an acquired echocardiographic image sequence are presented. Since the motion pattern in the image sequence is quite complicated, it is difficult to judge the results. The diastole effect is not apparent; however, the indicated velocities do not agree with the intensity variations
Keywords
acoustic imaging; biomedical ultrasonics; cardiology; patient diagnosis; picture processing; algorithm; diastole effect; echocardiogram sequence; feature tracking; heart deformation; heart wall boundaries detection; image velocity; intensity variations; medical US imaging; motion pattern; spatial intensity gradient; temporal gradient; total-least-squares method; Data mining; Echocardiography; Equations; Heart; Image edge detection; Image segmentation; Image sequences; Information resources; Layout; Least squares methods;
fLanguage
English
Publisher
ieee
Conference_Titel
Computers in Cardiology, 1988. Proceedings.
Conference_Location
Washington, DC
Print_ISBN
0-8186-1949-X
Type
conf
DOI
10.1109/CIC.1988.72579
Filename
72579
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