A straightforward approach to computer-aided polyp detection using a polyp-specific volumetric feature in CT colonography

作者：Lee June Goo; Kim Jong Hyo^*; Kim Se Hyung; Park Hee Sun; Choi Byung Ihn

来源：Computers in Biology and Medicine, 2011, 41(9): 790-801.

DOI：10.1016/j.compbiomed.2011.06.015

• Polyp detection
• CT colonography
• Computer aided diagnosis
• Hessian matrix
• Local intensity structure
• Volumetric feature
• Parameter optimization

This study presents a straightforward approach to computer-aided polyp detection and explores its advantages and future potential. A straightforward computer-aided polyp detection (CAD) scheme was developed that consisted of colon wall segmentation, a polyp-specific volumetric filter, and the counting and thresholding of cluster volume sizes. 65 patients had undergone the bowel cleaning scheme without fecal tagging and the optical colonoscopy (OC) and CT colonography (CTC) were performed. The polyp sizes determined by OC were used as reference measurements. The CTC dataset with 103 polyps were divided into training and test datasets. After tuning for the optimal parameter settings, the per-polyp sensitivities of the developed CAD scheme for clinically relevant polyps (>= 6 mm) were 100% at 8.5 false positives (FPs)/patient using the training dataset, and 93.3% at 7.7 FPs/patient using the test dataset. The developed CAD scheme was found to have a relatively high detection performance, easily optimized parameter settings, and an easily understood internal operation.

• 出版日期2011-9