@inproceedings{1e0742554bfa454880dd6137e9dafd3e,
title = "Region matching based on local structure information in ipsilateral digital breast tomosynthesis views",
abstract = "Digital breast tomosynthesis (DBT) is an emerging 3D x-ray imaging modality in breast cancer screening. Clinical studies have been reported that sensitivity of breast cancer detection can be increased by using two ipsilateral DBT views. Matching corresponding regions in the ipsilateral DBT views is important to achieve high detection sensitivity. In this paper, we propose a novel and effective region matching method based on local structure information in the ipsilateral DBT views. In the proposed method, for a given query region, we find corresponding region on target slices by using local descriptor and associated similarity. Experimental results showed that the proposed region matching method achieved the improvement in accuracy of region matching compared with the existing breast compression model-based region matching method.",
keywords = "Digital breast tomosynthesis, ipsilateral view, region matching",
author = "Kim, \{Seong Tae\} and Kim, \{Dae Hoe\} and Ji, \{Dong Jin\} and Ro, \{Yong Man\}",
note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; IEEE International Conference on Image Processing, ICIP 2015 ; Conference date: 27-09-2015 Through 30-09-2015",
year = "2015",
month = dec,
day = "9",
doi = "10.1109/ICIP.2015.7350798",
language = "English",
series = "Proceedings - International Conference on Image Processing, ICIP",
publisher = "IEEE Computer Society",
pages = "252--256",
booktitle = "2015 IEEE International Conference on Image Processing, ICIP 2015 - Proceedings",
}
