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Efficient Similarity Retrieval for Temporal Shape Sequences: A Case Study using Cardiac MR Images

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8 Author(s)
Heng Huang ; Dartmouth Experimental Visualization Laboratory (DEVLAB) Department of Computer Science, hh@cs.dartmouth.edu ; Makedon, F. ; Ford, J. ; Li Shen
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The spherical harmonics (SPHARM) approach has been used for the representation of shapes in many types of biomedical image data. We propose a SPHARM-based similarity comparison for shape sequences that allows fast similarity searches for dynamic objects and demonstrate it using 3D images of a beating heart. By using spherical harmonics to extract a small number of features that represent cardiac shape in each sequential state, we enable indexing and pruning of database entries with a multidimensional index tree (e.g. R*-tree) for fast retrieval. Our approach relies on obtaining selected landmarks to allow normalization within and between sequences. This framework is extensible to other application domains.

Published in:

Engineering in Medicine and Biology Society, 2004. IEMBS '04. 26th Annual International Conference of the IEEE  (Volume:2 )

Date of Conference:

1-5 Sept. 2004

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