Phase-Based Registration of Multi-view Real-Time Three-Dimensional Echocardiographic Sequences

  • Vicente Grau
  • Harald Becher
  • J. Alison Noble
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4190)


Real time three-dimensional echocardiography opens the possibility of interactive, fast three-dimensional analysis of cardiac anatomy and function. However, at the present time these capabilities cannot be fully exploited due to the low image quality associated to this modality. We propose to increase image quality and information content by combining images acquired from different echocardiographic windows. In this paper, we present an algorithm to register these datasets. Phase-based measures have been proposed as a suitable alternative to intensity-based ones for ultrasound image analysis. The proposed algorithm uses a new cost function, based on local orientation and phase differences, to align the datasets. Visual observation of results, and preliminary numerical analysis, show the robustness and accuracy of this method.


Capture Range Monogenic Signal Echocardiographic Window Increase Image Quality Multiresolution Framework 


  1. 1.
    Kühl, H.P., et al.: High-resolution transthoracic real-time three-dimensional echocardiography. Journal of the American College of Cardiology 43(11), 2083–2090 (2004)CrossRefGoogle Scholar
  2. 2.
    Mulet-Parada, M., Noble, J.A.: 2D+T Acoustic Boundary Detection in Echocardiography. Medical Image Analysis 4(1), 21–30 (2000)CrossRefGoogle Scholar
  3. 3.
    Grau, V., Noble, J.A.: Adaptive Multiscale Ultrasound Compounding Using Phase Information. In: Duncan, J.S., Gerig, G. (eds.) MICCAI 2005. LNCS, vol. 3749, pp. 589–596. Springer, Heidelberg (2005)CrossRefGoogle Scholar
  4. 4.
    Hemmendorff, M., et al.: Phase-based multidimensional volume registration. IEEE TMI 21(12), 1536–1543 (2003)Google Scholar
  5. 5.
    Felsberg, S.: The monogenic signal. IEEE TSP 49(12), 3136–3144 (2001)MathSciNetCrossRefGoogle Scholar
  6. 6.
    Weickert, J.: Coherence-enhancing diffusion filtering. International Journal of Computer Vision 31, 111–127 (1999)CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Vicente Grau
    • 1
  • Harald Becher
    • 2
  • J. Alison Noble
    • 1
  1. 1.Wolfson Medical Vision Laboratory, Department of Engineering ScienceUniversity of OxfordOxfordUnited Kingdom
  2. 2.Department of CardiologyJohn Radcliffe HospitalOxfordUnited Kingdom

Personalised recommendations