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- W1598020644 abstract "Breast cancer was the leading cause of cancer death among New Zealand women in 1999 [1]. Early detection is of critical importance, as the chances of five-year survival increases to approximately 90% [2]. Mammographic techniques rely variation of tissue density for image contrast, however the contrast between healthy and diseased tissue is relatively low (5% 10%). The key to elastographic techniques is that they measure the variation in tissue stiffness. For breast tissue this is a high contrast feature with an order of magnitude variation between healthy and cancerous tissue [3]. Emerging techniques in breast cancer screening include mechanical imaging entailing the reconstruction of tissue properties using mechanical sensors on the skin surface [4,5], ultrasound elastography [6], and magnetic resonance (MR) elastography [e.g. 7-15] to obtain 3-D tissue displacement information through out the breast volume. However, MR based elastography has the disadvantage of needing high cost, location specific imaging equipment. The proposed system uses an actuator to induce sinusoidal motion in the breast tissue at a fixed frequency. The resulting surface motion is quantified using digital imaging sensors, and an elastographic reconstruction of the 3-D breast tissue elastic properties created. An advantage of this digital image based system is that as the fundamental silicon technologies improve in performance, so will the systems capability. The focus of this paper is on the algorithms for obtaining tissue motion information, however proof of concept simulations are presented for the entire system." @default.
- W1598020644 created "2016-06-24" @default.
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- W1598020644 date "2004-01-01" @default.
- W1598020644 modified "2023-09-26" @default.
- W1598020644 title "Digital Image-Based Elasto-Tomography for Soft Tissue Imaging" @default.
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