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| Motion tracking in MRI by Harmonic State Model: Case of heart left ventricle
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Source |
International Journal of Computer Science and Security (IJCSS) |
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Table of Contents |
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Volume: 3 Issue: 5 |
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Pages: 334-447 |
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Publication
Date: November 2009 |
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ISSN
(Online): 1985-1553 |
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Pages |
428 - 447 |
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Author(s) |
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Published
Date |
31-09-2009 |
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Publisher |
CSC
Journals, Kuala Lumpur,
Malaysia |
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ADDITIONAL
INFORMATION |
| Keywords Abstract References Cited by Related Articles Collaborative
Colleague |
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KEYWORDS: Components, Dynamic adaptability, Multi agents system, Architecture description, Connectors, Agents |
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| We have developed a new method for tracking the closed contour which is based on a harmonic state model (HSM). It tracks the heart’s left ventricle (LV) throughout cardiac cycle. This method provides trajectories of points about the contour of the LV, crucial information in cardiac motion analysis. The state vector associated with HSM provides a robust and accurate modeling of contour closed. We rely on the state vector and we use it as local descriptor of region of the LV. This local description enables us to obtain the characteristic points of the contour. Owing the fact that, only light movements between cycle’s instants exists. The mapping of these points by the LCSS is relevant. The repetition of this process allows us to build LV trajectories, but also, for further information on its movement, bull eye graphs. The application of the simulation method gives the best results. The same is true on 2D plans sequences extracted from real cine-MRI volume. The trajectories calculated, the generated graphics, allow us to easily observe the difference between a healthy and a sick heart. |
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P.T. Buser, W. Auffermann, W.W. Holt, S. Wagner, B. Kirker, C. Wolfe, C.B. Higgins. “Non invasive evaluation of global left ventricular function with use of cine nuclear magnetic resonance”. Journal of the American College of Cardiology 2(13) pp.1294-1300, 1989.
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N.F. Osman and J.L. Prince. “Direct calculation of 2D components of myocardial strain using sinusoidal MR tagging”. to appear in Proc. of the SPIE Medical Imaging: Image Processing Conference, San Diego, California, 1998.
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E. McVeigh. “MRI of myocardial function: motion tracking techniques”. Magnetic Resonance Imaging, 14(2):137-150, 1996.
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J. C. Nascimento, João M. Sanches, Jorge S. Marques. “Tracking the Left Ventricle in Ultrasound Images Based on Total Variation Denoising”. Proceedings of the 3rd Iberian conference on PRIA, Spain, pp. 628-636, 2007.
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J. C. Nascimento and J. S. Marques. “Robust shape tracking in the presence of cluttered background”. IEEE Trans. Multimedia, vol. 6, no. 6, pp. 852–861, 2004.
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Chandra Sekhar Panda, Srikanta Patnaik, “Filtering Corrupted Image and Edge Detection in Restored Grayscale Image Using Derivative Filters”, International Journal of Image Processing (IJIP), vol.3, issue 3, pp. 105-119, 2009.
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MENDELEY
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CV.com
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| P. Lionel Evina Ekmobo : Colleagues
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| Mohammed Oumsis : Colleagues
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| Mohammed Meknassi : Colleagues
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