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Proceedings Article

An evaluation of 3D modality independent elastography robustness to boundary condition noise

[+] Author Affiliations
Jao J. Ou, Rowena E. Ong, Michael I. Miga

Vanderbilt Univ.

Proc. SPIE 6511, Medical Imaging 2007: Physiology, Function, and Structure from Medical Images, 65111X (March 29, 2007); doi:10.1117/12.709944
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From Conference Volume 6511

  • Medical Imaging 2007: Physiology, Function, and Structure from Medical Images
  • Armando Manduca; Xiaoping P. Hu
  • San Diego, CA | February 17, 2007

abstract

This work explores an inverse problem technique of extracting soft tissue elasticity information via nonrigid model-based image registration. The algorithm uses the elastic properties of the tissue in a biomechanical model to achieve maximal similarity between image data acquired under different states of loading. A framework capable of handling fully three-dimensional models and image data has been recently developed utilizing parallel computing and iterative sparse matrix solvers. For this preliminary investigation, a series of simulation experiments with clinical image data of human breast are used to test the robustness of the algorithm to expected mis-estimation of displacement boundary conditions encountered in real-world situations. Three methods of automated point correspondence are also examined as means of generating boundary conditions for the algorithm.

© (2007) COPYRIGHT SPIE--The International Society for Optical Engineering. Downloading of the abstract is permitted for personal use only.
Citation

Jao J. Ou ; Rowena E. Ong and Michael I. Miga
"An evaluation of 3D modality independent elastography robustness to boundary condition noise", Proc. SPIE 6511, Medical Imaging 2007: Physiology, Function, and Structure from Medical Images, 65111X (March 29, 2007); doi:10.1117/12.709944; http://dx.doi.org/10.1117/12.709944


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