Assessment of an Optical Flow Field-Based Polyp Detector for CT Colonography
STANFORD UNIV PALO ALTO CA
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Most current computer-aided detection CAD algorithms for the fully automatic detection of colonic polyps from 3D CT data suffer from high false positive rates. We developed and evaluated a post-processing algorithm to decrease the false positive rate of such a method. Our method attempts to model the way a radiologist recognizes a polyp while scrolling a cross-sectional plane through 3D CT data by quantifying the change in location of the edges in 2D plane. It uses a classifier for identification base on the Mahalanobis distance. The new method increase the ROC curve area from 0.89 to 0.98 an increase from 34.5 to 85.0 in specificity for 100 sensitivity in a population of 8 patients.
- Medicine and Medical Research
- Numerical Mathematics