Model-based position correlation between breast images

J. Georgii; F. Zöhrer; H. K. Hahn

doi:10.1117/12.2007472

28 February 2013 Model-based position correlation between breast images

J. Georgii, F. Zöhrer, H. K. Hahn

Author Affiliations +

Proceedings Volume 8670, Medical Imaging 2013: Computer-Aided Diagnosis; 86701U (2013) https://doi.org/10.1117/12.2007472
Event: SPIE Medical Imaging, 2013, Lake Buena Vista (Orlando Area), Florida, United States

Abstract

Nowadays, breast diagnosis is based on images of different projections and modalities, such that sensitivity and specificity of the diagnosis can be improved. However, this emburdens radiologists to find corresponding locations in these data sets, which is a time consuming task, especially since the resolution of the images increases and thus more and more data have to be considered in the diagnosis. Therefore, we aim at support radiologist by automatically synchronizing cursor positions between different views of the breast. Specifically, we present an automatic approach to compute the spatial correlation between MLO and CC mammogram or tomosynthesis projections of the breast. It is based on pre-computed finite element simulations of generic breast models, which are adapted to the patient-specific breast using a contour mapping approach. Our approach is designed to be fully automatic and efficient, such that it can be implemented directly into existing multimodal breast workstations. Additionally, it is extendable to support other breast modalities in future, too.

Citation Download Citation

J. Georgii, F. Zöhrer, and H. K. Hahn "Model-based position correlation between breast images", Proc. SPIE 8670, Medical Imaging 2013: Computer-Aided Diagnosis, 86701U (28 February 2013); https://doi.org/10.1117/12.2007472

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