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An image based vibration sensor for soft tissue modal analysis in a Digital Image Elasto Tomography (DIET) system

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4 Author(s)
Sheng Feng ; Department of Mechanical Engineering, University of Canterbury, Christchurch 8140, New Zealand ; Thomas Lotz ; J Geoffrey Chase ; Christopher E Hann

Digital Image Elasto Tomography (DIET) is a non-invasive elastographic breast cancer screening technology, based on image-based measurement of surface vibrations induced on a breast by mechanical actuation. Knowledge of frequency response characteristics of a breast prior to imaging is critical to maximize the imaging signal and diagnostic capability of the system. A feasibility analysis for a non-invasive image based modal analysis system is presented that is able to robustly and rapidly identify resonant frequencies in soft tissue. Three images per oscillation cycle are enough to capture the behavior at a given frequency. Thus, a sweep over critical frequency ranges can be performed prior to imaging to determine critical imaging settings of the DIET system to optimize its tumor detection performance.

Published in:

2010 Annual International Conference of the IEEE Engineering in Medicine and Biology

Date of Conference:

Aug. 31 2010-Sept. 4 2010