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

Jao J. Ou; Rowena E. Ong; Michael I. Miga

doi:10.1117/12.709944

29 March 2007 An evaluation of 3D modality independent elastography robustness to boundary condition noise

Jao J. Ou, Rowena E. Ong, Michael I. Miga

Author Affiliations +

Proceedings Volume 6511, Medical Imaging 2007: Physiology, Function, and Structure from Medical Images; 65111X (2007) https://doi.org/10.1117/12.709944
Event: Medical Imaging, 2007, San Diego, CA, United States

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.

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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 (29 March 2007); https://doi.org/10.1117/12.709944

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