Improved Curvature Estimation for Computer-aided Detection of Colonic Polyps in CT Colonography

Academic Radiology

Volumn 18, Issue 8, 2011, Pages 1024-1034

  Zhu, Hongbin ^a   Fan, Yi ^a   Lu, Hongbing ^b   Liang, Zhengrong ^a  

^a STONY BROOK UNIVERSITY   (United States)

^b FOURTH MILITARY MEDICAL UNIVERSITY   (China)

Author keywords

Colonic polyps; Computer aided detection; CT colonography; Curvature; Kernel method; Knutsson mapping; Shape analysis

Indexed keywords

ARTICLE; CANCER DIAGNOSIS; COLON POLYP; COLON TUMOR; COMPUTED TOMOGRAPHIC COLONOGRAPHY; COMPUTER ASSISTED DIAGNOSIS; CONTROLLED STUDY; FALSE POSITIVE RESULT; HUMAN; KERNEL METHOD; MAJOR CLINICAL STUDY; PRIORITY JOURNAL;

COLONIC POLYPS; COLONOGRAPHY, COMPUTED TOMOGRAPHIC; HUMANS; IMAGING, THREE-DIMENSIONAL; PATTERN RECOGNITION, AUTOMATED; PHANTOMS, IMAGING; PREDICTIVE VALUE OF TESTS; RADIOGRAPHIC IMAGE INTERPRETATION, COMPUTER-ASSISTED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY;

EID: 79959686698     PISSN: 10766332     EISSN: 18784046     Source Type: Journal    
DOI: 10.1016/j.acra.2011.03.012     Document Type: Article

References (31)

1. Cancer facts & figures 2008 2008, American Cancer Society, American Cancer Society, Atlanta, GA.
2. Eddy D. Screening for colorectal cancer. Ann Intern Med 1990, 113:373-384.
3. Gluecker T., Johnson C., Harmsen W., et al. Colorectal cancer screening with CT colonography, colonoscopy, and double-contrast barium enema examination: prospective assessment of patient perceptions and preferences. Radiology 2003, 227:378-384.
4. Levi B., Brooks D., Smith R., et al. Emerging technologies in screening for colorectal cancer: CTC, immunochemical fecal occult blood tests, stool screening using molecular markers. CA Cancer J Clin 2002, 53:44-55.
5. Pickhardt P., Choi J., Hwang I., et al. Computed tomographic virtual colonoscopy to screen for colorectal neoplasia in asymptomatic adults. N Engl J Med 2003, 349:2191-2200.
6. Kiss G., Cleynenbreugel J., Thomeer M., et al. Computer-aided diagnosis in virtual colonography via combination of surface normal and sphere fitting methods. Eur Radiol 2002, 12:77-81.
7. Summers R., Beaulieu C., Pusanik L., et al. Automated polyp detector for CT colonography: feasibility study. Radiology 2000, 216:284-290.
8. Summers R., Yao J., Pickhardt P., et al. Computed tomographic virtual colonoscopy computer-aided polyp detection in a screening population. Gastroenterology 2005, 129:1832-1844.
9. Taylor S., Halligan S., Burling D., et al. Computer-assisted reader software versus expert reviewers for polyp detection on CT colonography. AJR Am J Roentgenol 2006, 186:696-702.
10. Bielen D., Kiss G. Computer-aided detection for CT colonography: update 2007. Abdom Imaging 2007, 32:571-581.
11. Yoshida H, Nappi J. CAD in CT colonography: past, present, and future. Presented at: 11th International Conference of MICCAI, Workshop on Computational and Visualization Challenges in the New Era of Virtual Colonoscopy; New York, NY; September 6, 2008.
12. Monga O., Ayache N., Sander P.T. From voxel to intrinsic surface features. Image Vis Comput 1992, 10:403-417.
13. Thirion J.P., Gourdon A. Computing the differential characteristics of isointensity surfaces. Comput Vis Image Understand 1995, 61:190-202.
14. Yoshida H., Nappi J. Three-dimensional computer-aided diagnosis scheme for detection of colonic polyps. IEEE Trans Med Imaging 2001, 20:1261-1274.
15. Wang Z., Liang Z., Li L., et al. Reduction of false positives by internal features for polyp detection in CT-based virtual colonoscopy. Med Phys 2005, 32:3602-3616.
16. Konukoglu E., Acar B., Paik D., et al. Polyp enhancing level set evolution of colon wall: method and pilot study. IEEE Trans Med Imaging 2007, 26:1649-1656.
17. van Wijk C., van Ravesteijn V.F., Vos F.M., et al. Detection and segmentation of colonic polyps on implicit isosurfaces by second principal curvature flow. IEEE Trans Med Imaging 2010, 29:688-698.
18. Wang S., Zhu H., Lu H., et al. Volume-based feature analysis of mucosa for automatic initial polyp detection in virtual colonoscopy. Int J Comput Assist Radiol Surg 2008, 3:131-142.
19. Zhu H., Duan C., Pickhardt P., et al. Computer-aided detection of colonic polyps with level set-based adaptive convolution in volumetric mucosa to advance CT colonography toward a screening modality. Cancer Manage Res 2009, 1:1-13.
20. Zhu H., Fan Y., Lu H., et al. Improving initial polyp candidate extraction for CT colonography. Phys Med Biol 2010, 55:2087-2102.
21. Zhu H., Liang Z., Pickhardt P., et al. Increasing computer-aided detection specificity by projection features for CT colonography. Med Phys 2010, 37:1468-1481.
22. Campbell S., Summers R. Analysis of kernel method for surface curvature estimation. Int Congr Ser 2004, 1268:999-1003.
23. Rieger R., Timmermans F.J., van Vliet L.J., et al. On curvature estimation of ISO surfaces in 3D gray-value images and the computation of shape descriptors. IEEE Trans Patt Anal Mach Intell 2004, 26:1088-1094.
24. Lipschutz M. Differential geometry 1969, McGraw-Hill, New York.
25. Rieger B, van Vliet LJ. Representing orientation in N-dimensional spaces. In: Petkov N, Westenberg MA, eds. Proceedings of the 10th International Conference on Computer Analysis of Images and Patterns, 2003.
26. Knutsson H. Representing local structures using tensors. Proc Sixth Scand Conf Image Anal 1989, 244-251.
27. Liang Z., Wang S. An EM approach to MAP solution of segmenting tissue mixtures: a numerical analysis. IEEE Trans Med Imaging 2009, 28:297-310.
28. Wang S., Li L., Cohen H., et al. An EM approach to MAP solution of segmenting tissue mixture percentages with application to CT-based virtual colonoscopy. Med Phys 2008, 35:5787-5798.
29. Lei T., Sewchand W. Statistical approach to x-ray CT imaging and its applications in image analysis-part I: statistical analysis of x-ray CT imaging. IEEE Trans Med Imaging 1992, 11:53-61.
30. Chakraboty D., Berbaum K. Observer studies involving detection and localization: modeling, analysis, and validation. Med Phys 2004, 31:2313-2330.
31. Sundaram P., Zomorodian A., Beauleu C., et al. Colon polyp detection using smoothed shape operator: preliminary results. Med Image Anal 2008, 12:99-119.