Shape change analysis and shape modeling using three dimensional biomedical images

  • Authors:

  • Keith A. Bartels;Alan C. Bovik

  • Affiliations:

  • Department of Electrical and Computer Engineering, University of Texas at Austin, Austin, TX;Department of Electrical and Computer Engineering, University of Texas at Austin, Austin, TX

  • Venue:
  • ICASSP'93 Proceedings of the 1993 IEEE international conference on Acoustics, speech, and signal processing: image and multidimensional signal processing - Volume V
  • Year:
  • 1993

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Abstract

A method for computing material deformations from multi-dimensional images of a biological specimen undergoing shape changes is presented. The specimen data is segmented within the images and the domain of the specimen is parametrized. The parametrization is a material coordinate system for the specimen. Deformations of the material coordinate system are computed by minimizing an energy functional that is a linear combination of a brightness continuity constraint and a shape-change constraint based on differential geometric properties of the parametrization. The resulting parametrization completely describes the position and shape-change of the specimen for the entire image sequence.