title: A straightforward approach to computer-aided polyp detection using a polyp-specific volumetric feature in CT colonography.
abstract: 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.
authors.affiliation: Interdisciplinary Program in Radiation Applied Life Science, Seoul National University College of Medicine, Seoul 110-799, South Korea.
authors.forename: June-Goo
authors.initials: JG
authors.lastname: Lee
authors.forename: Jong
authors.initials: J
authors.lastname: Hyo Kim
authors.forename: Se
authors.initials: S
authors.lastname: Hyung Kim
authors.forename: Hee
authors.initials: H
authors.lastname: Sun Park
authors.forename: Byung
authors.initials: B
authors.lastname: Ihn Choi
mesh_terms: D000465:Algorithms; D001185:Artificial Intelligence; D003106:Colon / Q000000981:diagnostic imaging*; D003111:Colonic Polyps / Q000000981:diagnostic imaging*; D023881:Colonography, Computed Tomographic / Q000379:methods*; D016208:Databases, Factual; D005189:False Positive Reactions; D006801:Humans; D019047:Phantoms, Imaging; D012372:ROC Curve; D011857:Radiographic Image Interpretation, Computer-Assisted / Q000379:methods*; D012680:Sensitivity and Specificity