Digital Imaging Based Screening and Detection of Breast Cancer

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dc.contributor.authorChase, Geoff
dc.contributor.authorHann, C.E.
dc.contributor.authorBrown, R.G.
dc.contributor.authorPeters, A.
dc.contributor.authorRay, L.E.
dc.date.accessioned2009-05-04T20:58:54Z
dc.date.available2009-05-04T20:58:54Z
dc.date.issued2008en
dc.descriptionKeynote speechen
dc.description.abstractBreast cancer affects thousands of (primarily) women and is best treated when detected early. Currently, the primary form of (successful) breast cancer detection is manual palpation, which detects tumors through their high contrast stiffness relative to the surrounding tissue. The DIET system (Digital Image-based Elasto-Tomography) exploits this contrast to create a novel approach to breast cancer detection based on material property reconstruction of harmonic excitation data from the surface of the breast. These motions are measured using digital imaging in combination with a variety of novel imaging algorithms and approaches. The result is a conceptual technology approach to breast cancer screening that is small, potentially low cost, scalable, and does not involve X-rays, thus opening the opportunity to offer screening at any age with potentially greater compliance than found with mammography. Relying on silicon technologies it is also highly scalable as these technologies improve (regularly) in resolution and capability. This seminar presents the overall DIET concept and the research successes and "difficulties" to date at the University of Canterbury in New Zealand. A particular focus is paid to providing an overview of the multi-disciplinary methods, technologies and algorithms required to apply material property reconstruction from a strictly optical (digital imaging and computer vision) based sensing system in this Bio-Engineering application. Hence, the talk covers all the major technological modalities required to see this form of breast cancer screening emerge. An overview of methods is given and results are shown for proof of concept simulation, all major imaging and image processing aspects, and recent proof of concept silicone phantom studies on a pre-pre-prototype experimental system.en
dc.identifier.citationChase, J.G., Hann, C.E., Brown, R.G., Peters, A., Ray, L.E. (2008) Digital Imaging Based Screening and Detection of Breast Cancer. Liege, Belgium: Liege Image Days 2008, 12-13 Mar 2008.en
dc.identifier.urihttp://hdl.handle.net/10092/2402
dc.language.isoen
dc.publisherUniversity of Canterbury. Mechanical Engineeringen
dc.rights.urihttps://hdl.handle.net/10092/17651en
dc.subject.marsdenFields of Research::290000 Engineering and Technology::291500 Biomedical Engineering::291504 Biomechanical engineeringen
dc.subject.marsdenFields of Research::320000 Medical and Health Sciences::321000 Clinical Sciences::321022 Radiology and organ imagingen
dc.subject.marsdenFields of Research::280000 Information, Computing and Communication Sciences::280200 Artificial Intelligence and Signal and Image Processing::280203 Image processingen
dc.titleDigital Imaging Based Screening and Detection of Breast Canceren
dc.typeConference Contributions - Published
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