Anomaly Detection through Registration

Authors:
M. Chen;T. Kanade;H. A. Rowley;D. Pomerleau
Affiliations:
-;-;-;-
Venue:
CVPR '98 Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
Year:
1998

Citing 5
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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 I CT scan of brains with pathologies, with results qualitatively comparable to manual segmentation.