Volume-based feature analysis of mucosa for automatic initial polyp detection in virtual colonoscopy

International Journal of Computer Assisted Radiology and Surgery

Volumn 3, Issue 1-2, 2008, Pages 131-142

  Wang, Su ^a   Zhu, Hongbin ^a   Lu, Hongbing ^b   Liang, Zhengrong ^a  

^a STONY BROOK UNIVERSITY   (United States)

^b FOURTH MILITARY MEDICAL UNIVERSITY   (China)

Author keywords

Computer aided detection; Geometrical feature analysis; Virtual colonoscopy; Volume based mucosa; Weighted integral curvature in normal directions (WICND)

Indexed keywords

ARTICLE; AUTOMATION; CLINICAL FEATURE; COLON MUCOSA; COLON POLYP; COMPUTED TOMOGRAPHIC COLONOGRAPHY; COMPUTER ASSISTED RADIOGRAPHY; CONTROLLED STUDY; FALSE NEGATIVE RESULT; FALSE POSITIVE RESULT; GEOMETRY; HUMAN; INTERMETHOD COMPARISON; MACHINE LEARNING; MAJOR CLINICAL STUDY; PRIORITY JOURNAL; SENSITIVITY ANALYSIS;

EID: 45849146135     PISSN: 18616410     EISSN: 18616429     Source Type: Journal    
DOI: 10.1007/s11548-008-0215-8     Document Type: Article

References (42)

1. O'Brien MJ, Winawer SJ, Zauber AG, Gottlieb LS, Sternberg SS, Diaz B, Dickersin GR, Ewing, Geller S, Kasimian D et al (1990) The national polyp study: Patient and polyp characteristics associated with high-grade dysplasia in colorectal adenomas. Gastroenterology 98:371-379
2. Winawer SJ, Fletcher RH, Miller L, Godlee F, Stolar MH, Mulrow CD, Woolf SH, Glick SN, Ganiats TG, Bond JH, Rosen L, Zapka JG, Olsen SJ, Giardiello FM, Sisk JE, Van Antwerp R, Brown-Davis C, Marciniak DA, Mayer RJ (1997) Colorectal cancer screening: Clinical guidelines and rationale. Gastroenterology 112:594-642
3. Coin C, Wollett F, Coin J, Rowland M, Deramos R, Dandrea R (1983) Computerized radiology of the colon: A potential screening technique. Comput Radiology 7(1):215-221
4. Vining D, Gelfand D, Bechtold R, Scharling E, Grishaw E, Shifrin R (1994) Technical feasibility of colon imaging with helical CT and virtual reality. In: Annual meeting of American Roentgen Ray society, New Orleans, pp 104
5. Lorensen W, Jolesz F, Kikinis R (1995) The exploration of cross-sectional data with a virtual endoscope. In: Interactive tech and new med paradigm for health care, IOS Press, Washington DC, pp 221-230
6. Hong L, Kaufman A, Wei Y, Viswambharan A, Wax M, Liang Z (1995) 3D virtual colonoscopy. In: IEEE symposium on frontier in biomedical visualization, IEEE CS Press, Los Alamitos, pp 26-32
7. Hong L, Liang Z, Viswambharant A, Kaufman A, Wax M (1997) Reconstruction and visualization of 3D models of colonic surface. IEEE Trans Nucl Sci 44(3):1297-1302
8. Hong L, Muraki S, Kaufman A, Bartz D, He T (1997) Virtual voyage: Interactive navigation in the human colon. In: Computer graphics proceedings, Annual conference series, SIGGRAPH, pp 27-34
9. Pickharder P, Choi J, Hwang I, Butler J, Puckett M, Hildebrandt H, Wong R, Nugent P, Mysliwiec P, Schindler W (2003) Computed tomographic virtual colonoscopy to screen for colorectal neoplasia in asymptomatic adults. N Engl J Med 349(23):2191-2200
10. Yee J, Akerkar G, Hung R, Steinauer-Gebauer A, Wall S, McQuaid K (2001) Colorectal neoplasia: Performance characteristics of CT colonoscopy for detection in 300 patients. Radiology 219(2):685-692
11. Johnson D, Harmsen W, Wilson L, MacCarty R, Welch T, Ilstrup D, Ahlqist D (2003) Prospective blinded evaluation of CT colonoscopy for screen detection of colorectal polyps. Gastroenterology 125(2):311-319
12. Ferrucci J (2001) Colon cancer screening with virtual colonoscopy: promise, polyps, politics. Am J Roentgenol 177(3):975-988
13. Johnson CD, Dachman AH (2000) CT colonography: The next colon screening examination. Radiology 216:331-341
14. Dachman AH, Kuniyoshi JK, Boyle CM, Samara Y, Hoffmann KR, Rubin DT, Hanan I (1998) CT colonography with three-dimensional problem solving for detection of colonic polyps. Am J Roentgenol 171:989-995
15. Fletcher JG, Johnson CD, MacCarty RL, Welch TJ, Reed JE, Hara AK (1999) CT colonography: Potential pitfalls and problem-solving techniques. Am J Roentgenol 172:1271-1278
16. Yoshida H, Masutani Y, MacEneaney P, Rubin D, Dachman AH (2002) Computerized detection of colonic polyps in CT colonography based on volumetric features: A pilot study. Radiology 222:327-336
17. Li L, Lu H, Li X, Huang W, Tudorica A, Christodoulou C, Krupp L, Liang Z (2003) MRI volumetric analysis of multiple sclerosis: Methodology and validation. IEEE Trans Nucl Sci 50(5):1686-1692
18. Liang Z, Jaszczak R, Coleman E (1992) Parameter estimation of finite mixtures using the EM algorithm and information criteria with application to medical image processing. IEEE Trans Nucl Sci 39(4):1126-1133
19. Sanjay-Gopal S, Hebert T (1998) Bayesian pixel classification using spatially variant finite mixtures and the generalized EM algorithm. IEEE Trans Image Process 7(7):1014-1028
20. Zhang Y, Brady M, Smith S (2001) Segmentation of brain MR images through a hidden Markov random field model and the expectation-maximization algorithm. IEEE Trans Med Imaging 20(1):45-57
21. Näppi J, Dachman AH, MacEneaney P et al (2002) Automated knowledge-guided segmentation of colonic walls for computerized detection of polyps in CT colonography. J Comput Assist Tomogr 26:493-504
22. Summers R, Beaulieu C, Pusanik L, Malley J, Jeffrey R, Glazer D, Napel S (2000) Automated polyp detection at CT Colonography: Feasibility study. Radiology 216(1):284-290
23. Summers R, Johnson C, Pusanik L, Malley J, Youssef A, Reed J (2001) Automated polyp detection at CT Colonography: Feasibility assessment in a human population. Radiology 219(1):51-59
24. Yoshida H, Nappi J (2001) Three-dimensional computer-aided diagnosis scheme for detection of colonic polyps. IEEE Trans Med Imaging 20(12):1261-1274
25. Yoshida H, Masutani Y, Maceneaney P, Rubin D, Dachman A (2002) Computerized detection of colonic polyps at CT colonography on the basis of volumetric features: Pilot study. Radiology 222(2):327-336
26. Yoshida H, Nappi J, MacEneaney P, Rubin D, Dachman A (2002) Computer-aided diagnosis scheme for detection of polyps at CT colonography. Radiographics 22(4):963-979
27. Nappi J, Yoshida H (2002) Automated detection of polyps with CT Colonography: Evaluation of volumetric features for reduction of false-positive findings. Acad Radiol 9(4):386-397
28. Nappi J, Frimmel H, Dachman A, Yoshida H (2004) Computerized detection of colorectal masses in CT colonography based on fuzzy merging and wall-thickening analysis. Med Physics 31(4):860-872
29. Paik D, Beaulieu C, Jeffrey R, Karadi C, Napel S (1999) Detection of polyps in CT Colonography: A comparison of a computer-aided detection algorithm to 3D visualization methods. Radiology 213(P):197
30. Paik D, Beaulieu C, Jeffrey R, Yee J, Steinauer-Gebauer A, Napel S (2000) Computer aided detection of polyps in CT colonography: Method and free-response ROC evaluation of performance. Radiology 217(P):370
31. Paik D, Beaulieu C, Mani A, Prokesch R, Lee J, Napel S (2001) Evaluation of computer-aided detection in CT colonography: Potential applicability to a screening population. Radiology 221(P):332
32. Kiss G, Cleynenbreugel J, Thomeer M, Marchal G, Suetens P (2002) Computer aided diagnosis for virtual colonography by geometrical model fitting. In: Proceedings of seventh international workshop on vision, modeling, and visualization, Germany, pp 27-34
33. Kiss G, Cleynenbreugel J, Thomeer M, Suetens P, Marchal G (2002) Computer-aided diagnosis in virtual colonography via combination of surface normal and sphere fitting methods. Eur Radiol 12(1):77-81
34. Wijk C, Truyen R, Gelder RE, Vliet LJ, Vos FM (2004) On normalized convolution to measure curvature features for automatic polyp detection. In: MICCAI, LNCS 3216, pp 200-208
35. Wang Z, Liang Z, Li X, Li L, Li B, Eremina D, Lu H (2006) An improved electronic colon cleansing method for detection of colonic polyps by virtual colonoscopy. IEEE Trans Biomed Eng 53(12):1635-1646
36. Eremina D, Li X, Zhu W, Wang J, Liang Z (2006) Investigation on an EM framework for partial volume image segmentation. In: Proceedings of SPIE medical imaging, vol 6144, pp D1-D9
37. Sethian JA (1999) Level set methods and fast marching methods evolving interfaces in computational geometry, fluid mechanics, computer vision, and materials science. Cambridge University Press, London
38. Liang Z, Wang S, Lu H, Wang J (2007) Model parameter estimation and tissue mixture segmentation by a MAP-EM algorithm. In: IEEE nuclear science symposium (NSS) and medical imaging conference (MIC), Hawaii
39. Wang S, Lu H, Liang Z (2008) A theoretical solution to partial volume MAP-EM tissue mixture segmentation for CT/MRI imaging modalities. In: International workshop on combinatorial image analysis, Buffalo
40. Wang Z, Liang Z, Li L, Li X, Anderson J, Harrington D (2005) Reduction of false positives by internal features for polyp detection in CT-based virtual colonoscopy. Med Phys 32(12):3602-3616
41. Gonzalez RC, Woods RE (2002) Digital image processing, 2nd edn, (Hardcover). Prentice Hall, Englewood Cliffs
42. Monga O, Benayoun S (1992) Using partial derivatives of 3D images to extract typical surface features. In: Proceedings of the third annual conference of AI, simulation and planning in high autonomy systems, integrating perception, planning and action, pp 225-236