Reducing the false positive rate of computer aided detection for CT colonography using content based image retrieval

Authors:
Javed Aman;Jianhua Yao;Ronald M. Summers
Affiliations:
Radiology and Image Sciences Department, Clinical Center National Institutes of Health, Bethesda, MD;Radiology and Image Sciences Department, Clinical Center National Institutes of Health, Bethesda, MD;Radiology and Image Sciences Department, Clinical Center National Institutes of Health, Bethesda, MD
Venue:
ISBI'09 Proceedings of the Sixth IEEE international conference on Symposium on Biomedical Imaging: From Nano to Macro
Year:
2009

Citing 3
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Abstract

We present a method to reduce the false positive rate of our computed tomographic colonography computer aided detection (CTC-CAD) system based on the paradigm of Content Based Image Retrieval (CBIR). Using the feature vectors generated from our CTC-CAD system in conjunction with the distance metric of our CBIR system we rank detections based on their likelihood of being true positive. By eliminating detections with low rank, we prune approximately half of the false-positive detections from our CAD system.