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    Correspondence Estimation from Non-Rigid Motion Information

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    12635940_Correspondence Estimation_SPIE2011.pdf (4.750Mb)
    12635940_SPIE DIET Poster Wulff et al.pdf (4.627Mb)
    Author
    Wulff, J.
    Lotz, T.
    Stehle, T.
    Aach, T.
    Chase, J.G.
    Date
    2011
    Permanent Link
    http://hdl.handle.net/10092/6830

    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.

    Subjects
    shape reconstruction
     
    breast cancer screening
     
    Digital Image Elasto-Tomography
     
    Correspondence estimation
     
    non-rigid deformation
     
    Field of Research::09 - Engineering::0903 - Biomedical Engineering::090303 - Biomedical Instrumentation
     
    Field of Research::11 - Medical and Health Sciences::1103 - Clinical Sciences::110320 - Radiology and Organ Imaging
     
    Field of Research::11 - Medical and Health Sciences::1112 - Oncology and Carcinogenesis::111202 - Cancer Diagnosis
    Collections
    • Engineering: Conference Contributions [2012]
    Rights
    https://hdl.handle.net/10092/17651

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