An Algorithm for Objects Straightening in M-Mode Echocardiography Images

  • Adam Piórkowski
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 184)


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.


Spline Curve Average Column Virtual Reality Modeling Demodulation Technique IEEE ICASSP 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. 1.
    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)Google Scholar
  2. 2.
    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)Google Scholar
  3. 3.
    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)Google Scholar
  4. 4.
    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)Google Scholar
  5. 5.
    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)Google Scholar
  6. 6.
    Gajer, M.: Visualization of particle swarm dynamics with the use of Virtual Reality Modeling Language. Electrical Review 87(11), 20–24 (2011)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  1. 1.Department of Geoinfomatics and Applied Computer ScienceAGH University of Science and TechnologyCracowPoland

Personalised recommendations