Share Email Print

Proceedings Paper

Correspondence estimation from non-rigid motion information
Author(s): Jonas Wulff; Thomas Lotz; Thomas Stehle; Til Aach; J. Geoffrey Chase
Format Member Price Non-Member Price
PDF $14.40 $18.00

Paper Abstract

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.

Paper Details

Date Published: 11 March 2011
PDF: 9 pages
Proc. SPIE 7962, Medical Imaging 2011: Image Processing, 79621R (11 March 2011); doi: 10.1117/12.877896
Show Author Affiliations
Jonas Wulff, RWTH Aachen Univ. (Germany)
Univ. of Canterbury (New Zealand)
Thomas Lotz, Univ. of Canterbury (New Zealand)
Thomas Stehle, RWTH Aachen Univ. (Germany)
Til Aach, RWTH Aachen Univ. (Germany)
J. Geoffrey Chase, Univ. of Canterbury (New Zealand)

Published in SPIE Proceedings Vol. 7962:
Medical Imaging 2011: Image Processing
Benoit M. Dawant; David R. Haynor, Editor(s)

© SPIE. Terms of Use
Back to Top