Feature point detection for non-rigid registration of digital breast tomosynthesis images

Authors:
Weiwei Zhang;Sir Michael Brady
Affiliations:
Wolfson Medical Vision Lab, Department of Engineering Science, University of Oxford, Oxford, UK;Wolfson Medical Vision Lab, Department of Engineering Science, University of Oxford, Oxford, UK
Venue:
IWDM'10 Proceedings of the 10th international conference on Digital Mammography
Year:
2010

Citing 2
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Saliency, Scale and Image Description

International Journal of Computer Vision
Continuous dimensionality characterization of image structures

Image and Vision Computing

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Abstract

We present an automatic approach to feature point detection that is well-suited to the non-rigid registration of digital breast tomosynthesis images The approach combines the scale saliency and the continuous intrinsic dimensionality of image structures in order to detect key feature points along the breast boundary and within the breast These feature points can be used as the control points for polyaffine transformation regularisation Experimental results show that non-rigid registration driven by such feature points yields good spatial alignment.