Abstract
To diagnose and manage breast cancer, X-ray mammography, ultrasound, and magnetic resonance (MR) imaging are used to image the breasts. In this chapter, we present a method for validating finite element (FE) biomechanical models across the entire breast volume. A computational framework was used to generate personalised FE models of the breast to predict the deformations of the breasts under compression. A Fourier-based correlation technique was used to compare localised mismatches between 3D model-warped images and clinical MR images. This technique is illustrated by matching model-simulated compressed images with MR data for a compressed breast phantom and the compressed breasts of two volunteers. The results from this analysis indicate regions of the biomechanical model that do not align well, and thus require improvement. A validated biomechanical image registration tool of this kind will help clinicians to more accurately localise breast cancers, enabling more reliable diagnoses.
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Lee, A.W., Rajagopal, V., Chung, JH., Nielsen, P.M., Nash, M.P. (2010). Method for Validating Breast Compression Models Using Normalised Cross-Correlation. In: Miller, K., Nielsen, P. (eds) Computational Biomechanics for Medicine. Springer, New York, NY. https://doi.org/10.1007/978-1-4419-5874-7_7
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DOI: https://doi.org/10.1007/978-1-4419-5874-7_7
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