Anomaly Detection through Registration
Conference Paper, Proceedings of (CVPR) Computer Vision and Pattern Recognition, pp. 304 - 310, June, 1998
Abstract
We study an application of image registration in the medical domain. Based on a 3-D hierarchical deformable registration algorithm, we have developed a prototype system which automatically aligns a standard atlas to a subject's data to create a customized atlas. Combined with domain knowledge, the registration algorithm can also detect asymmetries and abnormal variations in the subject's data that indicate the existence and location of pathologies. We have conducted tests on 106 MRI scans of normal brains, 3 MRI and 1 CT scan of brains with pathologies, with results qualitatively comparable to manual segmentation.
BibTeX
@conference{Chen-1998-14690,author = {Mei Chen and Takeo Kanade and Henry Rowley and Dean Pomerleau},
title = {Anomaly Detection through Registration},
booktitle = {Proceedings of (CVPR) Computer Vision and Pattern Recognition},
year = {1998},
month = {June},
pages = {304 - 310},
}
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