Accelerated statistical shape model-based technique for tissue deformation estimation

Iman Khalaji; Kaamran Rahemifar; Abbas Samani

doi:10.1117/12.813859

13 March 2009 Accelerated statistical shape model-based technique for tissue deformation estimation

Iman Khalaji, Kaamran Rahemifar, Abbas Samani

Proceedings Volume 7261, Medical Imaging 2009: Visualization, Image-Guided Procedures, and Modeling; 72610U (2009) https://doi.org/10.1117/12.813859
Event: SPIE Medical Imaging, 2009, Lake Buena Vista (Orlando Area), Florida, United States

Abstract

A novel finite element (FE) based technique is introduced, which can be applied for real-time or near real-time soft tissue deformation calculation, irrespective of the complexities arising from the tissue constitutive law or loading conditions. Unlike classical FE methods, which are computationally slow, this technique is very fast and yet highly accurate. The proposed technique is based on statistical analysis of pre-processed FE models on a class of organ shapes similar to the object shape of interest. We show that FE analysis results of any new shape in the class of objects can be obtained by a linear combination of main modes of the FE output parameter space. Several examples are presented for validation and finally an application of this method in real-time elastography is demonstrated.

Citation Download Citation

Iman Khalaji, Kaamran Rahemifar, and Abbas Samani "Accelerated statistical shape model-based technique for tissue deformation estimation", Proc. SPIE 7261, Medical Imaging 2009: Visualization, Image-Guided Procedures, and Modeling, 72610U (13 March 2009); https://doi.org/10.1117/12.813859

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