Mammographic registration: proposal and evaluation of a new approach

Authors:
Robert Martí;David Raba;Arnau Oliver;Reyer Zwiggelaar
Affiliations:
Computer Vision and Robotics Group, University of Girona, Spain;Computer Vision and Robotics Group, University of Girona, Spain;Computer Vision and Robotics Group, University of Girona, Spain;Department of Computer Science, University of Wales, Aberystwyth Ceredigion, Wales, UK
Venue:
IWDM'06 Proceedings of the 8th international conference on Digital Mammography
Year:
2006

Citing 3
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Abstract

The detection of architectural distortions and abnormal structures in mammographic images can be based on the analysis of bilateral and temporal cases. This paper presents a novel method for mammographic image registration inspired by existing robust point matching approaches. This novel method is compared with other registration approaches proposed in the literature using both quantitative and qualitative evaluation based on similarity metrics and ROC analysis (ground truth provided by an expert radiologist). Initial evaluation is based on mammographic data of 64 women with malignant masses which indicates the accuracy and robustness of our method.