We are improving CT colonography (virtual colonoscopy) by developing computer-assisted diagnosis methods. These methods attempt to identify and characterize colonic polyps automatically, thereby increasing physician accuracy and efficiency and helping patients by finding their polyps. ? ? We made a number of advances over the past year, including advances in colon and polyp segmentation, feature extraction methods, false positive reduction and classifier optimization. We improved our innovative technique to use the tenia coli (longitudinal muscle bands) as a guide for orienting the supine and prone virtual colonoscopies. This technique has broad implications for research and clinical image interpretation. We improved detection of smaller polyps by an additional 10%. We published a highly regarded observer performance study showing that computer-aided polyp detection helps radiologists locate polyps. We are at the forefront of developing computer software to analyze quality of virtual colonoscopies. Such """"""""quality assurance"""""""" software should lead to more uniform performance in different radiologists' practices, helping patients to get the best possible imaging study.? ? We licensed our CAD software to a company that is in the process of commercializing the software. We anticipate our research being able to help patients directly in the near future when this commercialization is successful and the technology moves from the """"""""bench-to-the-bedside"""""""".

Agency
National Institute of Health (NIH)
Institute
Clinical Center (CLC)
Type
Intramural Research (Z01)
Project #
1Z01CL040003-06
Application #
7733645
Study Section
Project Start
Project End
Budget Start
Budget End
Support Year
6
Fiscal Year
2008
Total Cost
$97,966
Indirect Cost
Name
Clinical Center
Department
Type
DUNS #
City
State
Country
United States
Zip Code
Summers, Ronald M; Liu, Jiamin; Sussman, Daniel L et al. (2012) Association between visceral adiposity and colorectal polyps on CT colonography. AJR Am J Roentgenol 199:48-57
Roney, Celeste A; Xu, Biying; Xie, Jianwu et al. (2011) Rh-I-UEA-1 polymerized liposomes target and image adenomatous polyps in the APC(Min/+) mouse using optical colonography. Mol Imaging 10:305-16
Summers, Ronald M (2010) Polyp size measurement at CT colonography: what do we know and what do we need to know? Radiology 255:707-20
Huang, Adam; Li, Jiang; Summers, Ronald M et al. (2010) Improving Polyp Detection Algorithms for CT Colonography: Pareto Front Approach. Pattern Recognit Lett 31:1461-1469
Summers, Ronald M; Frentz, Suzanne M; Liu, Jiamin et al. (2009) Conspicuity of colorectal polyps at CT colonography: visual assessment, CAD performance, and the important role of polyp height. Acad Radiol 16:4-14
Petrick, Nicholas; Haider, Maruf; Summers, Ronald M et al. (2008) CT colonography with computer-aided detection as a second reader: observer performance study. Radiology 246:148-56
Wang, Shijun; Yao, Jianhua; Summers, Ronald M (2008) Improved classifier for computer-aided polyp detection in CT colonography by nonlinear dimensionality reduction. Med Phys 35:1377-86
Summers, Ronald M; Handwerker, Laurie R; Pickhardt, Perry J et al. (2008) Performance of a previously validated CT colonography computer-aided detection system in a new patient population. AJR Am J Roentgenol 191:168-74
Li, Jiang; Van Uitert, Robert; Yao, Jianhua et al. (2008) Wavelet method for CT colonography computer-aided polyp detection. Med Phys 35:3527-38
Van Uitert, Robert L; Summers, Ronald M; White, Jacob M et al. (2008) Temporal and multiinstitutional quality assessment of CT colonography. AJR Am J Roentgenol 191:1503-8

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