Optimizing computer-aided colonic polyp detection for CT colonography by evolving the Pareto front

Medical Physics

Volumn 36, Issue 1, 2009, Pages 201-212

  Li, Jiang ^a,b   Huang, Adam ^a   Yao, Jack ^a   Liu, Jiamin ^a   Van Uitert, Robert L ^a   Petrick, Nicholas ^c   Summers, Ronald M ^a  

^a NATIONAL INSTITUTES OF HEALTH   (United States)

^b Old Dominion University   (United States)

^c CENTER FOR DEVICES AND RADIOLOGICAL HEALTH   (United States)

Author keywords

Computer aided detection; Genetic algorithm; Multiobjective evolution; Pattern recognition; Statistical methods

Indexed keywords

COMPUTER AIDED DIAGNOSIS; MULTIOBJECTIVE OPTIMIZATION; PARETO PRINCIPLE; PATTERN RECOGNITION; STATISTICAL METHODS;

COLONIC POLYP DETECTION; COMPUTER AIDED DETECTION; COMPUTER AIDED DETECTION SYSTEMS; FALSE POSITIVE RATES; MULTI-OBJECTIVE GENETIC ALGORITHM; MULTI-OBJECTIVE OPTIMIZATION PROBLEM; MULTIOBJECTIVE EVOLUTION; SEQUENTIAL CLASSIFIER;

GENETIC ALGORITHMS;

ADULT; AGED; ARTICLE; COLON POLYP; COMPUTED TOMOGRAPHIC COLONOGRAPHY; COMPUTER ASSISTED DIAGNOSIS; CONTROLLED STUDY; DATA BASE; FEMALE; GENETIC ALGORITHM; HUMAN; MAJOR CLINICAL STUDY; MALE; MATHEMATICAL COMPUTING; PRIORITY JOURNAL; SENSITIVITY ANALYSIS;

EID: 58149140088     PISSN: 00942405     EISSN: None     Source Type: Journal    
DOI: 10.1118/1.3040177     Document Type: Article

References (40)

1. A. Jemal, R. Siegel, E. Ward, T. Murray, J. Xu, and M. J. Thun, " Cancer statistics, 2007.," Ca-Cancer J. Clin. 57, 43-66 (2007).
2. P. J. Pickhardt, " Computed tomographic virtual colonoscopy to screen for colorectal neoplasia in asymptomatic adults.," N. Engl. J. Med. 349, 2191-2200 (2003).
3. R. M. Summers, " Automated polyp detector for CT colonography: feasibility study.," Radiology 216, 284-290 (2000).
4. H. Yoshida and J. Nappi, " Three-dimensional computer-aided diagnosis scheme for detection of colonic polyps.," IEEE Trans. Med. Imaging 20, 1261-1274 (2001).
5. D. S. Paik, " Surface normal overlap: A computer-aided detection algorithm with application to colonic polyps and lung nodules in helical CT.," IEEE Trans. Med. Imaging 23, 661-675 (2004).
6. Z. Wang, " Reduction of false positives by internal features for polyp detection in CT-based virtual colonoscopy.," Med. Phys. 32, 3602-3616 (2005).
7. H. Yoshida and A. H. Dachman, " CAD techniques, challenges, and controversies in computed tomographic colonography.," Abdom. Imaging 30, 26-41 (2005).
8. K. Suzuki, H. Yoshida, J. Nappi, and A. H. Dachman, " Massive training Artificial Neural Network (MTANN) for reduction of false positives in computer-aided detection of polyps: Suppression of rectal tubes.," Med. Phys. 33, 3814-3824 (2006).
9. K. Suzuki, H. Yoshida, J. Nappi, S. G. Armato III, and A. H. Dachman, " Mixture of expert 3D massive-training ANNs for reduction of multiple types of false positives in CAD for detection of polyps in CT colonography.," Med. Phys. 35, 694-703 (2008).
10. J. Li, " Wavelet method for CT colonography computer-aided polyp detection.," Med. Phys. 35, 3527-3538 (2008).
11. A. K. Jerebko, R. M. Summers, J. D. Malley, M. Franaszek, and C. D. Johnson, " Computer-assisted detection of colonic polyps with CT colonography using neural networks and binary classification trees.," Med. Phys. 30, 52-60 (2003).
12. A. K. Jerebko, J. D. Malley, M. Franaszek, and R. M. Summers, " Multiple neural network classification scheme for detection of colonic polyps in CT colonography data sets.," Acad. Radiol. 10, 154-160 (2003).
13. H. Yoshida, Y. Masutani, P. MacEneaney, D. T. Rubin, and A. H. Dachman, " Computerized detection of colonic polyps at CT colonography on the basis of volumetric features: Pilot study.," Radiology 222, 327-336 (2002).
14. A. K. Jerebko, J. D. Malley, M. Franaszek, and R. M. Summers, " Support vector machines committee classification method for computer-aided polyp detection in CT colonography.," Acad. Radiol. 12, 479-486 (2005).
15. D. J. Shaffer, " Multiple objective optimization with vector evaluated genetic algorithms.," in Genetic Algorithms and Their Applications: Proceedings of the First International Conference of Genetic Algorithms (Lawrence Erlbaum, Hillsdale, NJ, 1985), pp. 93-100.
16. R. M. Summers, " Computed tomographic virtual colonoscopy computer-aided polyp detection in a screening population.," Gastroenterology 129, 1832-1844 (2005).
17. P. K. Sahoo, S. Soltani, K. C. Wong, and Y. C. Chen, " A survey of thresholding techniques.," Comput. Vis. Graph. Image Process. 41, 233-260 (1988).
18. W. E. Lorensen and H. E. Cline, " Marching cubes: A high resolution 3D surface construction algorithm.," in Proceedings of the 14th Annual Conference on Computer Graphics and Interactive Techniques (ACM Press, Anaheim, CA, 1987), pp. 163-169.
19. J. Li, " Automatic colonic polyp detection using multi-objective evolutionary techniques.," in Image Processing, Proc. SPIE 6144, 1742-1750 (2006).
20. J. Yao, M. Miller, M. Franaszek, and R. M. Summers, " Colonic polyp segmentation in CT colonography-based on fuzzy clustering and deformable models.," IEEE Trans. Med. Imaging 23, 1344-1352 (2004).
21. J. Li, J. Yao, R. M. Summers, N. Petrick, M. T. Manry, and A. K. Hara, " An efficient feature selection algorithm for computer-aided polyp detection.," Int. J. Artif. Intell. Tools 15, 893-915 (2006).
22. M. E. Zalis, " CT colonography reporting and data system: a consensus proposal.," Radiology 236, 3-9 (2005).
23. L. Butterly, M. Chase, H. Pohl, and G. S. Fiarman, " Prevalence of clinically important histology in small adenomas.," Clin. Gastroenterol Hepatol 4, 343-348 (2006).
24. L. T. Bui, D. Esam, H. A. Abbass, and D. Green, " Performance analysis of evolutionary multi-objective optimization methods in noisy environments.," in Proceeding of the 8th Asian Pacific Symposium on Intelligent and Evolutionary Systems, Cairns, Australia, 2004, pp. 29-39.
25. C. A. C. Coello, " An updated survey of evolutionary multiobjective optimization techniques: State of the art and future trends.," in Congress on Evolutionary Computation, Washington, D.C., 1999, pp. 3-13.
26. M. A. Anastasio, M. A. Kupinski, and R. M. Nishikawa, " Optimization and FROC analysis of rule-based detection schemes using a multiobjective approach.," IEEE Trans. Med. Imaging 17, 1089-1093 (1998).
27. M. A. Kupinski and M. A. Anastasio, " Multiobjective genetic optimization of diagnostic classifiers with implications for generating receiver operating characteristic curves.," IEEE Trans. Med. Imaging 18, 675-685 (1999).
28. E. Zitzler, M. Laumanns, and L. Thiele, " SPEA2: Improving the strength Pareto evolutionary algorithm.," in Swiss Federal Institute of Technology, 2001.
29. E. Zitzler, L. Thiele, M. Laumanns, C. M. Fonseca, and V. G. Fonseca, " Performance assessment of multiobjective optimizers: An analysis and review.," Evol. Comput. 7, 117-132 (2003).
30. J. Li, " Validating Pareto optimal operation parameters of polyp detection algorithms for CT colonography.," Proc. SPIE 6514, 65142G (2007).
31. A. Huang, J. Li, R. M. Summers, N. Petrick, and A. K. Hara, " Using Pareto fronts to evaluate polyp detection algorithms for CT colonography.," Proc. SPIE 6514, 651407 (2007).
32. A. Huang and R. M. Summers, " Surface curvature estimation for automatic colonic polyp detector.," Proc. SPIE 5746, 393-402 (2005).
33. R. M. Summers, L. M. Pusanik, and J. D. Malley, " Automatic detection of endobronchial lesions with virtual bronchoscopy: Comparison of two methods.," Proc. SPIE 3338, 327-335 (1998).
34. J. Yao and R. M. Summers, " 3D colonic polyp segmentation using dynamic deformable surfaces.," Proc. SPIE 5369, 280-289 (2004).
35. D. A. van Veldhuizen and G. B. Lamont, " Multiobjective Evolutionary Algorithm Test Suites.," in Proceedings of the 1999 ACM Symposium on Applied Computing, San Antonio, TX, 1999, pp. 351-357.
36. Z. Michalewicz, Genetic Algorithm+Data Structures=Evolution Programs (Springer-Verlag, Berlin, 1996).
37. C. A. C. Coello, A Survey of Constraint Handling Techniques used with Evolutionary Algorithms (Laboratorio Nacional de Informatica Avanzada, Xalapa, Veracruz, Mexico, 1999).
38. B. Efron and R. Tibshirani, An Introduction to the Bootstrap (Chapman & Hall, New York, 1993).
39. S. Halligan, " CT colonography in the detection of colorectal polyps and cancer: Systematic review, meta-analysis, and proposed minimum data set for study level reporting.," Radiology 237, 893-904 (2005).
40. B. P. Mulhall, G. R. Veerappan, and J. L. Jackson, " Meta-analysis: computed tomographic colonography.," Ann. Intern Med. 142, 635-650 (2005).