Separate modal analysis for tumor detection with a Digital Image Elasto Tomography (DIET) breast cancer screening system

摘要

Digital Image Elasto Tomography (DIET) is a non-invasive breast cancer screeningmodality that induces mechanical vibrations into a breast and images its surface mo-tion with digital cameras. A new approach in software based diagnosis of this surfacemotion is presented, focussing on the second natural frequency of the breast. Sepa-rate modal analysis is used to estimate the modal parameters using imaging data fromsilicone phantoms. The second natural frequency proves to be a reliable metric withthe potential to clearly distinguish cancerous and healthy tissue as well as providingan approximate location for the tumor. Furthermore, thorough statistical analysis isperformed to verify the results.