Affiliations: | Research Intensive Community for Undergraduates Summer Program |
Project Leader: | Wang Sicheng sharonwang@tamu.edu Applied Mathematical Sciences |
Faculty Mentor: | Sevan Goenezen, Ph.D. |
Meeting Times:
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Summer 2016 (complete) |
Team Size:
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3 (Team Full) |
Open Spots: | 0 |
Special Opportunities:
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Successful outcome of this project will result in an internationally recognized and peer reviewed journal article with all the team members being co-authors in that article. |
Team Needs:
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This project requires interdisciplinary work in areas of computational simulations, data processing, digital camera data acquisition using DIC systems, and construction of tissue mimicking phantoms. While none of these are pre-requisites, it is strongly expected that the team leader has interest in all these areas and assembles a team that has interest in each of these areas. |
Description:
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The goal of this proposed project is to analyze a novel breast cancer screening technology that relies on a set of digital cameras and physics-based mathematical models. We will test this technology on three breast phantoms containing various numbers of tumor mimicking inclusions (e.g., lobular carcinomas, invasive ductal carcinomas, and ductal carcinomas in situ) and benign tumor (e.g., fibroadenomas) phantoms. Tumor mimicking inclusions will be printed with a 3D printer using viscoelastic materials. Their surrounding fatty material will be represented with a gelatin/agar solution. Digital camera images will be recorded before and after applying a palpation force on the breast phantom to induce surface displacements that can be determined from these images using a digital image correlation system (known as DIC). The palpation will be applied at multiple locations on the breast phantom and a rich surface displacement data set will be acquired. This data set will then be used to non-destructively map the true 3D stiffness of the entire breast phantom from surface displacements and palpation forces. |