DUGi

Evaluating lesion segmentation on breast sonography as related to lesion type

http://dugi.udg.edu/item/http:@@@@hdl.handle.net@@10256@@11347

Breast sonography currently provides a complementary diagnosis when other modalities are not conclusive. However, lesion segmentation on sonography is still a challenging problem due to the presence of artifacts. To solve these problems, Markov random fields and maximum a posteriori-based methods are used to estimate a distortion field while identifying regions of similar intensity inhomogeneity. In this study, different initialization approaches were exhaustively evaluated using a database of 212 B-mode breast sonograms and considering the lesion types. Finally, conclusions about the relationship between the segmentation results and lesions types are described

This work was partially supported by Spanish Science and Innovation grant TIN2011-23704 and by a predoctoral grant from the recruitment of new research personnel program of the Generalitat de Catalunya

American Institute of Ultrasound in Medicine