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

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.

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

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