Title :
Current concepts in computer-aided detection for ct colonography
Author :
Summers, Ronald M.
Author_Institution :
Imaging Biomarkers & Comput.-Aided Diagnosis Lab., Nat. Institutes of Health Clinical Center, Bethesda, MD, USA
Abstract :
Computer-aided detection (CAD) for CT colonography has been under development for about eleven years. It is now sufficiently accurate that clinically significant polyps 1 cm and larger can be reliably detected with 90% sensitivity. The research focus is now shifting to reducing the number of false positive detections, clinical validation and integrating CAD into clinical practice and applying CAD to the setting of fecal tagging and laxative-free bowel preparations. This is a dynamic research field which requires the use of state-of-the-art image processsing and machine learning techniques.
Keywords :
computerised tomography; learning (artificial intelligence); medical image processing; CAD; CT colonography; computer-aided detection; fecal tagging; image processsing; laxative-free bowel; machine learning; Cancer; Colon; Colonic polyps; Feature extraction; Level set; Optical attenuators; Optical scattering; Shape; Testing; Virtual colonoscopy; colorectal cancer; curvature; polyps; shape;
Conference_Titel :
Biomedical Imaging: From Nano to Macro, 2010 IEEE International Symposium on
Conference_Location :
Rotterdam
Print_ISBN :
978-1-4244-4125-9
Electronic_ISBN :
1945-7928
DOI :
10.1109/ISBI.2010.5490363