Semi-Automatic Lymph Node Segmentation in LN-MRI

G. Unal, G. Slabaugh, A. Ess, A. Yezzi, T. Fang, J. Tyan, M. Requardt, R. Krieg, R. Seethamraju, M. Harisinghani, R. Weissleder
2006 2006 International Conference on Image Processing  
This is the accepted version of the paper. This version of the publication may differ from the final published version. Permanent repository link: http://openaccess.city.ac.uk/4404/ Link to published version: http://dx. ABSTRACT Accurate staging of nodal cancer still relies on surgical exploration because many primary malignancies spread via lymphatic dissemination. The purpose of this study was to utilize nanoparticle-enhanced lymphotropic magnetic resonance imaging (LN-MRI) to explore
more » ... omated noninvasive nodal cancer staging. We present a joint image segmentation and registration approach, which makes use of the problem specific information to increase the robustness of the algorithm to noise and weak contrast often observed in medical imaging applications. The effectiveness of the approach is demonstrated with a given lymph node segmentation problem in post-contrast pelvic MRI sequences. Index Terms-biomedical image processing, image segmentation, biomedical magnetic resonance imaging, medical diagnosis
doi:10.1109/icip.2006.312366 dblp:conf/icip/UnalSEYFTRKSHW06 fatcat:ghgwzsu2bnbyhfzhxg5ihzqo7i