Inproceedings: an article in a conference proceedings.
Multi-Atlas based Segmentation of Head and Neck CT Images using Active Contour
Title of the conference
MICCAI 2010, 13th International Conference on Medical Image Computing and Computer Assisted Intervention
Beijing, China, September 20-24, 2010
This paper presents the segmentation of bilateral parotid glands in the Head and Neck (H&N) CT images using an active contour based atlas registration. We compare segmentation results from three atlas selection strategies: (i) selection of "single-most-similar" atlas for each image to be segmented, (ii) fusion of segmentation results from multiple atlases using STAPLE, and (iii) fusion of segmentation results using majority voting. Among these three approaches, fusion using majority voting provided the best results. Finally, we present a detailed evaluation on a dataset of eight images (provided as a part of H&N auto segmentation challenge conducted in conjunction with MICCAI-2010 conference) using majority voting strategy.
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