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

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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

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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.

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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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