A Novel Algorithm for Fitting 3-D Active Appearance Models: Applications to Cardiac MRI Segmentation

  • Alexander Andreopoulos
  • John K. Tsotsos
Conference paper

DOI: 10.1007/11499145_74

Part of the Lecture Notes in Computer Science book series (LNCS, volume 3540)
Cite this paper as:
Andreopoulos A., Tsotsos J.K. (2005) A Novel Algorithm for Fitting 3-D Active Appearance Models: Applications to Cardiac MRI Segmentation. In: Kalviainen H., Parkkinen J., Kaarna A. (eds) Image Analysis. SCIA 2005. Lecture Notes in Computer Science, vol 3540. Springer, Berlin, Heidelberg

Abstract

We present an efficient algorithm for fitting three dimensional (3-D) Active Appearance Models (AAMs). We do so, by introducing a 3-D extension of a recently proposed method that is based on the inverse compositional image alignment algorithm. We demonstrate its applicability for the segmentation of the left ventricle in short axis cardiac MRI. We perform experiments to evaluate the speed and segmentation accuracy of our algorithm on a total of 1473 cardiac MR images acquired from 11 patients. The fitting is around 60 times faster than standard Gauss-Newton optimization, with a segmentation accuracy that is as good as, and often better than Gauss-Newton.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2005

Authors and Affiliations

  • Alexander Andreopoulos
    • 1
  • John K. Tsotsos
    • 1
  1. 1.Dept. of Computer Science and Engineering, Centre for Vision ResearchYork UniversityTorontoCanada

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