Title of Project

Background Information

Up to now, the Colonoscopy has been the best screening technique available.  While this technique is very accurate it is an invasive procedure which can cause both pain and embarrassment to the patient.

CTC examines the entire colon on a computer generated model.  It allows the radiologist to navigate through a virtual colon.

However, the radiologist still has to navigate through the entire colon and manually inspect the entire lining of the colon which can increase the overall examination time in comparison with the conventional Colonoscopy.

The Vision Systems Group (VSG), School of Electronic Engineering in Dublin City University is researching an automated CTC.  The main objective of this is to remove the need for the radiologist to manually inspect the entire colon lumen, thereby allowing them to focus their efforts solely on the areas where there are polyps or other abnormalities.

The objective of an automated system is to flag these potential polyps and anomalies from the CTC data sets.  This increases the sensitivity of CTC as a colon cancer screening technique and decreases the time required to evaluate the screening results.

The problem associated with this is the number of false negatives the automated system will produce.  False negatives are folds of tissue which are not polyps but which are detected as anomalies by the system. 

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