title: Efficient similarity retrieval for temporal shape sequences: a case study using cardiac MR images.
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.
authors.affiliation: Dartmouth Experimental Visualization Laboratory (DEVLAB) Department of Computer Science, Hanover, NH 03755, USA. hh@cs.dartmouth.edu
authors.forename: Heng
authors.initials: H
authors.lastname: Huang
authors.forename: Fillia
authors.initials: F
authors.lastname: Makedon
authors.forename: James
authors.initials: J
authors.lastname: Ford
authors.forename: Li
authors.initials: L
authors.lastname: Shen
authors.forename: Yuhang
authors.initials: Y
authors.lastname: Wang
authors.forename: Tilmann
authors.initials: T
authors.lastname: Steinberg
authors.forename: Ling
authors.initials: L
authors.lastname: Gao
authors.forename: Justin
authors.initials: J
authors.lastname: Pearlman