Summary
This article presents an approach of M-Mode image analysis. These images are important for the diagnosis of heart valves . This implicates a need for accurate object analysis. A special preprocessing is needed. There is an algorithm for objects straightening proposed in this article. This transformation enables correct classification of objects. Considerations are illustrated by examples.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Kim, B., Stamos, T.D., Soble, J.S., Roberge, J.: Automated Conduit Detection Method from a Synthetic M-mode Using Spline Curves. IEEE Computers in Cardiology 21(27), 21–24 (2000)
Rodriguez, P.V., Pattichis, M.S., Goens, M.B.: M-mode Echocardiography Image and Video Segmentation based on AM-FM Demodulation Techniques. In: Proceedings of the 2Sb Annual International Conference of the IEEE EMBS Cancun, Mexico, September 17-21 (2003)
Fancourt, C., Azer, K., Ramcharan, S.L., Bunzel, M., Cambell, B.R., Sachs, J.R., Walker, M.: Segmentation of arterial vessel wall motion to sub-pixel resolution using M-mode ultrasound. IEEE Eng. Med. Biol. Soc. (1), 3138–3141 (2008)
Lin, Q., Lin, Y., Wang, H.Y., McAllister, H.G., Zheng, H.: Detection of Temporal Motion Velocity and Acceleration of Omnidirectional M-Mode Echocardiography. Computers in Cardiology (2006)
Balocco, S., Basset, O., Guidi, F., Tortoli, P., Cachard, C.: Detection of microbubble trajectories on M-mode images using Kalman filtering. In: IEEE ICASSP, Toulouse, pp. 569–572 (2006)
Gajer, M.: Visualization of particle swarm dynamics with the use of Virtual Reality Modeling Language. Electrical Review 87(11), 20–24 (2011)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2013 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Piórkowski, A. (2013). An Algorithm for Objects Straightening in M-Mode Echocardiography Images. In: Choraś, R. (eds) Image Processing and Communications Challenges 4. Advances in Intelligent Systems and Computing, vol 184. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-32384-3_5
Download citation
DOI: https://doi.org/10.1007/978-3-642-32384-3_5
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-32383-6
Online ISBN: 978-3-642-32384-3
eBook Packages: EngineeringEngineering (R0)