A novel algorithm for fitting 3-d active appearance models: applications to cardiac MRI segmentation

Authors:
Alexander Andreopoulos;John K. Tsotsos
Affiliations:
Dept. of Computer Science and Engineering, Centre for Vision Research, York University, Toronto, Ontario, Canada;Dept. of Computer Science and Engineering, Centre for Vision Research, York University, Toronto, Ontario, Canada
Venue:
SCIA'05 Proceedings of the 14th Scandinavian conference on Image Analysis
Year:
2005

Citing 3
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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.