Abstract
The success of CT colonography (CTC) depends on appropriate tools for quick and accurate diagnostic reading. Current advancements in computer technology have the potential to bring such tools even to the PC level. In this paper a technique for Computed Aided Diagnosis (CAD) using CT colonography is described. The method labels positions in the volume data, which have a strong likelihood of being polyps and presents them in a user-friendly way. This method will reduce the amount of time needed by the radiologist to make a correct diagnosis. The method was tested on a study group of 18 patients and the sensitivity for polyps of 10 mm or larger was 100%, comparable to that of human readers. The price paid for a high detection rate was a large number of approximately 8 false positive findings per case.
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© 2001 Springer-Verlag Berlin Heidelberg
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Kiss, G., Van Cleynenbreugel, J., Thomeer, M., Suetens, P., Marchal, G. (2001). Computer Aided Diagnosis for Virtual Colonography. In: Niessen, W.J., Viergever, M.A. (eds) Medical Image Computing and Computer-Assisted Intervention – MICCAI 2001. MICCAI 2001. Lecture Notes in Computer Science, vol 2208. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45468-3_75
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DOI: https://doi.org/10.1007/3-540-45468-3_75
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