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Automated segmentation of colonic walls for computerized detection of polyps in CT colonography
Y Masutani1, H Yoshida, P M MacEneaney
1Kurt Rossman Laboratories for Radiologic Image Research, University of Chicago, IL 60637, USA. y-masutani@uchicago.edu
Purpose:
A new method for fully automated segmentation of the colonic walls in volumetric CT data was developed for limitation of the search space in computerized detection of polyps.
Method:
For reliable segmentation, an anatomy-oriented approach was used, in which several anatomical structures are segmented in addition to the colon for utilization of their properties.
Results:
The segmentation method was validated by use of 14 data sets, consisting of cases positive for colonic polyps. We found that the segmented colonic walls included all of the polyps. A subjective rating of the results was performed based on several criteria for visualization of anatomic detail of the colonic wall and mucosal surface. Except for a few cases in which insufflation of the colon was insufficient, all of the results included >95% of the colonic walls.
Conclusion:
This method for colonic wall segmentation is reliable and the segmentation results are applicable in both visualization of the colon and computer-aided diagnosis in the detection of polyps in CT colonography.
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