Minimal elastographic modeling of breast cancer for model based tumor detection in a digital image elasto tomography (DIET) system

Thomas F. Lotz; Natalie Muller; Christopher E. Hann; J. Geoffrey Chase

doi:10.1117/12.878315

8 March 2011 Minimal elastographic modeling of breast cancer for model based tumor detection in a digital image elasto tomography (DIET) system

Thomas F. Lotz, Natalie Muller, Christopher E. Hann, J. Geoffrey Chase

Author Affiliations +

Proceedings Volume 7963, Medical Imaging 2011: Computer-Aided Diagnosis; 796322 (2011) https://doi.org/10.1117/12.878315
Event: SPIE Medical Imaging, 2011, Lake Buena Vista (Orlando), Florida, United States

Abstract

Digital Image Elasto Tomography (DIET) is a non-invasive breast cancer screening technology that images the surface motion of a breast under harmonic mechanical actuation. A new approach capturing the dynamics and characteristics of tumor behavior is presented. A simple mechanical model of the breast is used to identify a transfer function relating the input harmonic actuation to the output surface displacements using imaging data of a silicone phantom. Areas of higher stiffness cause significant changes of damping and resonant frequencies as seen in the resulting Bode plots. A case study on a healthy and tumor silicone breast phantom shows the potential for this model-based method to clearly distinguish cancerous and healthy tissue as well as correctly predicting the tumor position.

Citation Download Citation

Thomas F. Lotz, Natalie Muller, Christopher E. Hann, and J. Geoffrey Chase "Minimal elastographic modeling of breast cancer for model based tumor detection in a digital image elasto tomography (DIET) system", Proc. SPIE 7963, Medical Imaging 2011: Computer-Aided Diagnosis, 796322 (8 March 2011); https://doi.org/10.1117/12.878315

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