Correspondence Estimation from Non-Rigid Motion Information (2011)
Type of ContentConference Contributions - Published
PublisherUniversity of Canterbury. Mechanical Engineering
AuthorsWulff, J., Lotz, T., Stehle, T., Aach, T., Chase, J.G.show all
The DIET (Digital Image Elasto Tomography) system is a novel approach to screen for breast cancer using only optical imaging information of the surface of a vibrating breast. 3D tracking of skin surface motion without the requirement of external markers is desirable. A novel approach to establish point correspondences using pure skin images is presented here. Instead of the intensity, motion is used as the primary feature, which can be extracted using optical flow algorithms. Taking sequences of multiple frames into account, this motion information alone is accurate and unambiguous enough to allow for a 3D reconstruction of the breast surface. Two approaches, direct and probabilistic, for this correspondence estimation are presented here, suitable for different levels of calibration information accuracy. Reconstructions show that the results obtained using these methods are comparable in accuracy to marker-based methods while considerably increasing resolution. The presented method has high potential in optical tissue deformation and motion sensing.
CitationWulff, J., Lotz, T., Stehle, T., Aach, T., Chase, J.G. (2011) Correspondence Estimation from Non-Rigid Motion Information. Orlando, FL, USA: SPIE Medical Imaging Conference 2011, 12-17 Feb 2011. 4pp.
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Keywordsshape reconstruction; breast cancer screening; Digital Image Elasto-Tomography; Correspondence estimation; non-rigid deformation
ANZSRC Fields of Research09 - Engineering::0903 - Biomedical Engineering::090303 - Biomedical Instrumentation
11 - Medical and Health Sciences::1103 - Clinical Sciences::110320 - Radiology and Organ Imaging
11 - Medical and Health Sciences::1112 - Oncology and Carcinogenesis::111202 - Cancer Diagnosis