DocumentCode
3597891
Title
Model-Based Screening of Wall Motion Measures for Detection of Ischemia in Three-Dimensional Cardiac Images
Author
Herz, Susan L. ; Ingrassia, Christopher M. ; Costa, Kevin D. ; Holmes, Jeffrey W.
Author_Institution
Dept. of Biomed. Eng., Columbia Univ., New York, NY
fYear
2006
Firstpage
628
Lastpage
631
Abstract
Quantitative measurement of left ventricular wall motion can improve clinical diagnosis by providing a more objective approach than qualitative analysis, which is subject to large inter-observer variability. We have developed novel techniques for quantifying left ventricular wall motion in three-dimensional image data sets. In this study, finite element models simulating regional ischemia in the left ventricle were used to screen potential wall motion measures for their capability to detect and evaluate the size of an ischemic region. Preliminary experimental results showed that wall motion analysis of real-time three-dimensional echocardiographic images successfully detected ischemia. Our four-dimensional wall motion analysis system provides an objective and quantitative approach for detecting and assessing the severity of disease
Keywords
biomechanics; biomedical measurement; cardiovascular system; diseases; echocardiography; finite element analysis; image motion analysis; medical image processing; physiological models; ultrasonic measurement; clinical diagnosis; diseases; finite element models; four-dimensional wall motion analysis; inter-observer variability; ischemia detection; left ventricular wall motion; model-based screening; quantitative measurement; real-time three-dimensional echocardiographic images; three-dimensional cardiac images; Diseases; Finite element methods; Image analysis; Image motion analysis; Ischemic pain; Mathematical model; Motion analysis; Motion detection; Motion measurement; Size measurement;
fLanguage
English
Publisher
ieee
Conference_Titel
Engineering in Medicine and Biology Society, 2006. EMBS '06. 28th Annual International Conference of the IEEE
ISSN
1557-170X
Print_ISBN
1-4244-0032-5
Electronic_ISBN
1557-170X
Type
conf
DOI
10.1109/IEMBS.2006.260387
Filename
4461829
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