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Author Brown, R.G. ♦ Hann, C.E. ♦ Chase, J.G.
Source IEEE Xplore Digital Library
Content type Text
Publisher Institute of Electrical and Electronics Engineers, Inc. (IEEE)
File Format PDF
Copyright Year ©2008
Language English
Subject Domain (in DDC) Technology ♦ Engineering & allied operations ♦ Other branches of engineering
Subject Keyword Surface reconstruction ♦ Computer vision ♦ Inverse problems ♦ Digital images ♦ Elasticity ♦ Cameras ♦ Mechanical variables measurement ♦ Breast cancer ♦ Motion measurement ♦ Surface treatment
Abstract Breast cancer is one of the most prevalent forms of cancer in the world today. The search for effective treatment and screening methods is a highly active area of research. The digital image-based elastotomography (DIET) project is a new breast cancer screening system under development, where surface motion from the mechanically actuated breast is measured in 3D, and used as input to an inverse problem solving for breast elasticity. Cancerous lesions appear as high contrast features, being an order of magnitude stiffer than healthy tissue. The 3D motion capture is measured by an array of digital cameras using computer vision techniques. This paper presents a computer vision imaging system for the capture of 3D breast surface motion for the DIET system, including the image acquisition system, camera calibration, and 3D surface and motion reconstruction. Results are presented for experiments performed with silicone gel phantoms, with conditions designed to replicate the clinical procedure. Full 3D surface motion is successfully captured using an array of 5 cameras. Some successful results from the DIET inverse problem are also presented to demonstrate the viability of the system in practice.
Description Author affiliation: Dept. of Mech. Eng., Univ. of Canterbury, Christchurch (Hann, C.E.; Chase, J.G.) || Dept. of Math. & Stat., Univ. of Canterbury, Christchurch (Brown, R.G.)
ISBN 9781424437795
Educational Role Student ♦ Teacher
Age Range above 22 year
Educational Use Research ♦ Reading
Education Level UG and PG
Learning Resource Type Article
Publisher Date 2008-12-02
Publisher Place New Zealand
Rights Holder Intl Journal of Intelligent
Size (in Bytes) 2.23 MB
Page Count 6
Starting Page 628
Ending Page 633


Source: IEEE Xplore Digital Library