Cardiac motion reconstruction using LKT algorithm from 2D and 3D echocardiography

Gao, Alice, Li, Wei, Lin, Chiang, Loomes, Martin J. and Gao, Xiaohong W. ORCID: https://orcid.org/0000-0002-8103-6624 (2013) Cardiac motion reconstruction using LKT algorithm from 2D and 3D echocardiography. In: IPCV'13 - The 2013 International Conference on Image Processing, Computer Vision, and Pattern Recognition. CSRES Press. ISBN 1601322542. [Book Section]

Abstract

The rhythm of the heart endows us with not only a life insurance but also a barometer indicating any potential abnormalities. Hence the accurate measurement of heart motion has profound clinical benefit in assisting diagnostic decision making and yet remains a challenging issue to be confronted. Perceptibly, heart motion can be quantified manually from M-mode diagrams of echocardiographs which are created by way of sound waves while a patient is undergoing scanning. Alternatively, the motion can be monitored automatically by post-image processing techniques analyzing B-mode video sequences. This paper explores the feasibility of the application of the Lucas-Kanada-Tomasi algorithm towards the reconstruction of m-mode diagrams from 2D sequences and tissue velocity curves from 3D video clips for the left ventricle. Preliminary results reveal a promising match between the post-processing findings and real-time scanning data and are in consistent agreement with similar studies.

Item Type: Book Section
Additional Information: 13 digit ISBN: 9781601322548
Research Areas: A. > School of Science and Technology > Computer Science > Artificial Intelligence group
A. > School of Science and Technology > Computer Science
A. > School of Science and Technology
A. > School of Science and Technology > Computer Science > SensoLab group
Item ID: 12738
Useful Links:
Depositing User: Users 3197 not found.
Date Deposited: 22 Nov 2013 14:14
Last Modified: 28 Nov 2019 10:22
URI: https://eprints.mdx.ac.uk/id/eprint/12738

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