DocumentCode
2818328
Title
Tracking contrast in echocardiography by a combined snake and optical flow technique
Author
Althoff, K. ; Hamarneh, Ghassan ; Suurküla, M. Beckman ; Gustavsson, T.
Author_Institution
Dept. of Signals & Syst., Chalmers Univ. of Technol., Goteborg, Sweden
fYear
2000
fDate
2000
Firstpage
29
Lastpage
32
Abstract
Contrast-echocardiography in conjunction with real-time video-densiometry can be an effective means of studying right ventricular (RV) structural changes, e.g. in patients diagnosed with arrhythmogenic right ventricular dysplasia (ARVD). In order to characterize RV flow pattern it may be necessary to track the front of the contrast agent as it enters the RV. The active contour model (ACM) is a standard image analysis method, which can be applied to the time-dynamic tracking problem. To improve tracking speed we extended the formulation of ACM by including an additional force, derived from the optical flow field, another standard image analysis algorithm. This reduced the number of iterations needed to find the front of the contrast agent significantly. Also the changes in intensity of the contrast agent over time were studied. Two groups were compared, one with 30 patients diagnosed with ARVD and one with 18 healthy volunteers. Our study shows that that using our suggested method (calculating wash-in and wash-out time indices) it is possible to discriminate between the two groups
Keywords
blood flow measurement; diseases; echocardiography; image sequences; medical image processing; tracking; RV flow pattern; active contour model; arrhythmogenic right ventricular dysplasia; combined technique; contrast agent; echocardiography; healthy volunteers; iterations; optical flow technique; real-time video-densiometry; right ventricular structural changes; snake technique; standard image analysis method; time-dynamic tracking problem; tracking contrast; tracking speed; wash-in time indices; wash-out time indices; Active contours; Cardiac disease; Cardiovascular diseases; Echocardiography; Filling; Hemodynamics; Image motion analysis; Image sequence analysis; Image sequences; Physiology;
fLanguage
English
Publisher
ieee
Conference_Titel
Computers in Cardiology 2000
Conference_Location
Cambridge, MA
ISSN
0276-6547
Print_ISBN
0-7803-6557-7
Type
conf
DOI
10.1109/CIC.2000.898447
Filename
898447
Link To Document