Reconstructing 3-D Skin Surface Motion for the DIET Breast Cancer Screening System


Digital image-based elasto-tomography (DIET) is a prototype system for breast cancer screening. A breast is imaged while being vibrated, and the observed surface motion is used to infer the internal stiffness of the breast, hence identifying tumors. This paper describes a computer vision system for accurately measuring 3-D surface motion. A model-based segmentation is used to identify the profile of the breast in each image, and the 3-D surface is reconstructed by fitting a model to the profiles. The surface motion is measured using a modern optical flow implementation customized to the application, then trajectories of points on the 3-D surface are given by fusing the optical flow with the reconstructed surfaces. On data from human trials, the system is shown to exceed the performance of an earlier marker-based system at tracking skin surface motion. We demonstrate that the system can detect a 10 mm tumor in a silicone phantom breast.

DOI: 10.1109/TMI.2014.2304959

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@article{Botterill2014Reconstructing3S, title={Reconstructing 3-D Skin Surface Motion for the DIET Breast Cancer Screening System}, author={Tom Botterill and Thomas Lotz and Amer Kashif and J. Geoffrey Chase}, journal={IEEE transactions on medical imaging}, year={2014}, volume={33 5}, pages={1109-18} }