Correspondence estimation from non-rigid motion information

Jonas Wulff; Thomas Lotz; Thomas Stehle; Til Aach; J. Geoffrey Chase

doi:10.1117/12.877896

11 March 2011 Correspondence estimation from non-rigid motion information

Jonas Wulff, Thomas Lotz, Thomas Stehle, Til Aach, J. Geoffrey Chase

Proceedings Volume 7962, Medical Imaging 2011: Image Processing; 79621R (2011) https://doi.org/10.1117/12.877896
Event: SPIE Medical Imaging, 2011, Lake Buena Vista (Orlando), Florida, United States

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.

Citation Download Citation

Jonas Wulff, Thomas Lotz, Thomas Stehle, Til Aach, and J. Geoffrey Chase "Correspondence estimation from non-rigid motion information", Proc. SPIE 7962, Medical Imaging 2011: Image Processing, 79621R (11 March 2011); https://doi.org/10.1117/12.877896

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available