An integrated system for computer-aided diagnosis in CT colonography: work in progress

Abstract A high-throughput, integrated software system to investigate computer-aided diagnosis for CT colonography is described and demonstrated. The system allows investigation of numerous parameters and algorithms critical to the goal of automated localization of possible polyps. The system forms the foundation of our future research efforts.

[1]  J D Malley,et al.  Polypoid lesions of airways: early experience with computer-assisted detection by using virtual bronchoscopy and surface curvature. , 1998, Radiology.

[2]  Ronald M. Summers,et al.  Automatic detection of endobronchial lesions using virtual bronchoscopy: comparison of two methods , 1998, Medical Imaging.

[3]  Josie Wernecke,et al.  The inventor mentor - programming object-oriented 3D graphics with Open Inventor, release 2 , 1993 .

[4]  W Luboldt,et al.  Computed tomographic and magnetic resonance colonography: summary of progress from 1995 to 2000. , 2001, Current problems in diagnostic radiology.

[5]  E G McFarland,et al.  Helical CT colonography (virtual colonoscopy): the challenge that exists between advancing technology and generalizability. , 1999, AJR. American journal of roentgenology.

[6]  R M Summers,et al.  Virtual bronchoscopy: segmentation method for real-time display. , 1996, Radiology.

[7]  Ronald M. Summers,et al.  Image gallery: A tool for rapid endobronchial lesion detection and display using virtual bronchoscopy , 1998, Journal of digital imaging.

[8]  R. Jeffrey,et al.  Automated polyp detector for CT colonography: feasibility study. , 2000, Radiology.

[9]  R M Summers,et al.  Navigational aids for real-time virtual bronchoscopy. , 1997, AJR. American journal of roentgenology.

[10]  A. M. Youssef,et al.  Automated polyp detection at CT colonography: feasibility assessment in a human population. , 2001, Radiology.