Efficient Similarity Retrieval for Temporal Shape Sequences: A Case Study using Cardiac MR Images
Heng Huang
Makedon, F.
Ford, J.
Li Shen
Yuhang Wang
Steinberg, T.
Ling Gao
Pearlman, J.
Dartmouth Experimental Visualization Laboratory (DEVLAB) Department of Computer Science, hh@cs.dartmouth.edu;
Abstract
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.
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