Using Breast Tissue Information and Subject-Specific Finite-Element Models to Optimize Breast Compression Parameters for Digital Mammography
Abstract
:1. Introduction
2. Materials and Methods
2.1. Case Collection
2.2. Image Acquisition
2.3. Image Segmentation
2.4. Finite Element Modeling
3. Results
4. Discussion
5. Conclusions
Author Contributions
Funding
Data Availability Statement
Acknowledgments
Conflicts of Interest
References
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Chang, T.-Y.; Wu, J.; Liu, P.-Y.; Liu, Y.-L.; Luzhbin, D.; Lin, H.-C. Using Breast Tissue Information and Subject-Specific Finite-Element Models to Optimize Breast Compression Parameters for Digital Mammography. Electronics 2022, 11, 1784. https://doi.org/10.3390/electronics11111784
Chang T-Y, Wu J, Liu P-Y, Liu Y-L, Luzhbin D, Lin H-C. Using Breast Tissue Information and Subject-Specific Finite-Element Models to Optimize Breast Compression Parameters for Digital Mammography. Electronics. 2022; 11(11):1784. https://doi.org/10.3390/electronics11111784
Chicago/Turabian StyleChang, Tien-Yu, Jay Wu, Pei-Yuan Liu, Yan-Lin Liu, Dmytro Luzhbin, and Hsien-Chou Lin. 2022. "Using Breast Tissue Information and Subject-Specific Finite-Element Models to Optimize Breast Compression Parameters for Digital Mammography" Electronics 11, no. 11: 1784. https://doi.org/10.3390/electronics11111784