The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences. Vol. XXXVII. Part B5. Beijing 2008 
Acar B, Napel S, Paik D, Gokturk SB, Tomasi C, Beaulieu CF., 
2001. Using optical flow fields for polyp detection in virtual 
colonoscopy. Medical Image Computing and Computer- 
Assisted Intervention, Utrecht, the Netherlands. 
Gokturk S. B., C. Tomasi, 2000. A graph method for the 
conservative detection of polyps in the colon. Second 
International Symposium on Virtual Colonoscopy, Boston, MA. 
Gokturk S. B., Carlo Tomasi, Bernd Girod, Chris Beaulieu, 
2001 .medical image compression based on region of interest, 
with application to colon CT images. 
Gokturk S. B., Tomasi C, Acar B, Beaulieu CF, Paik DS, Jerrey 
RBJ, Yee J, Napel S., 2001. A statistical 3D pattern processing 
method for computer aided detection of polyps in CT 
colonography. IEEE Transactions on Medical Imaging; 20(12): 
1251-1260. 
Gonzalez RC, Woods RE., 1993. Digital image processing. 
Reading MA: Addison-Wesley. 
Jemal, A., R.C. Tiwari, T. Murray, A. Ghafoor, A. Samuels, E. 
Ward, E.J. Feuer, M.J. Thun, 2004. Cancer statistics. CA 
Cancer J Clinic, 54:8-29. 
Jerebko AK, Malley JD, Franaszek M, Summers RM., 2003. 
Multi neural network classification scheme for detection of 
colonic polyps in CT colonography data sets, Academic 
Radiology; 10(2): 154-160. 
Jerebko R. M., 2003. Computer-assisted detection of colonic 
polyps with CT colonography using neural networks 
classification trees. Med. Phys. 30, 52-60. 
Kiraly AP, Laks S, Macari M, Geiger B, Bogoni L, Novak CL., 
2004. A fast method for colon polyp detection in high- 
resolution CT data. International Congress Series; 1268:983- 
988. 
Kiss G, Cleynenbreugel J, Suetens P, Marchai G., 2003. 
Computer aided diagnosis for CT colonography via slope 
density functions. Medical Image Computing and Computer- 
Assisted Intervention (1) ;746-753. 
Kiss G, Cleynenbreugel J, Thomeer M, Suetens P, Marchai G., 
2002. Computer-aided diagnosis in virtual colonography via 
combination of surface normal and sphere fitting methods. 
European Radiology; 12(1):77-81. 
Marr D., Hildreth E. C., 1980. Theory of edge detection. 
Proceedings of the Royal Society, London B, 207:187-217. 
Otsu N., 1979. A Threshold Selection Method from Gray-Level 
Histograms. IEEE Transactions on Systems, Man, and 
Cybernetics, Vol. 9, No. 1, pp. 62-66. 
Paik D. S., 2001. Computer aided interpretation of medical 
images. Ph.D. Thesis, Stanford University. 
Paik DS, Beaulieu CF, Jerrey RBJ, 2000. Computer aided 
detection of polyps in CT colonography: Method and free- 
response ROC evaluation of performance. Radiology; 
217(P):370. 
Paik DS, Beaulieu CF, Rubin GD, Acar B, Jerrey RBJ, Yee J, 
Dey J, Napel S., 2004. Surface normal overlap: A computer- 
aided detection algorithm with application to colonic polyps 
and lung nodules in helical CT. IEEE Transactions on Medical 
Imaging; 23(6):661-75. 
Pratt William K., 1991. Digital Image Processing. New York, 
John Wiley & Sons, p. 634. 
Richard Alan Peters II, 1995. A New Algorithm for Image 
Noise Reduction using Mathematical Morphology. IEEE 
Transactions on Image Processing Volume 4, Number 3, pp. 
554-568. 
Robert Van Uiterta, Ingmar Bittera, Ronald M. Summersa, J. 
Richard Choi, Perry J. Pickhardt, 2006. Quantitative 
Assessment of Colon Distension for Polyp Detection in CT 
Virtual Colonoscopy. Medical Imaging: Physiology, Function, 
and Structure from Medical Images- 
Sadleir RJT, Whelan PF., 2002. Colon centreline calculation for 
CT colonography using optimised 3D topological thinning. The 
International Symposium on 3D Data Processing Visualization 
and Transmission, Pad ova, Italy. 
Summers R. M., C. F. Beaulieu, L. M. Pusanik, J. D. Malley, R. 
B. Jeffrey, Jr., D. I. Glazer, and S. Napel, 2000. Automated 
polyp detector for CT colonography: feasibility study. 
Radiology 216, 284-290. 
Summers RM, Johnson CD, Pusanik LM, Malley JD, Youssef 
AM, Reed JE, 2001. Automated polyp detection at CT 
colonography: Feasibility assessment in a human population. 
Radiology ;219:51 -59. 
Tarik A. Chowdhury, Paul F. Whelan and Ovidiu Ghita, 2006. 
The use of 3D surface fitting for robust polyp detection and 
classification in CT colonography. Vision Systems Group, 
School of Electronic Engineering, Dublin City University, 
Dublin 9, Ireland. 
Vining DJ, Hunt GW, Ahn DK, Stelts DR, Helmer PF., 1997. 
Computer-assisted detection of colon polyps and masses. 
Radiology; 205:705. 
Wang Z, Li L, Anderson J, Harrington D, Liang Z., 2004. 
Colonic polyp characterization and detection based on both 
morphological and texture features. International Congress 
Series; 1268:1004-1009. 
Yoshida H, Masutani Y, MacEneaney P, Rubin DT, Dachman 
AH., 2002. Computerized detection of colonic polyps at CT 
colonography on the basis of volumetric features: Pilot study. 
Radiology; 222:327-336. 
Yoshida H, Nappi J., 2001. Three-Dimensional computer-aided 
diagnosis scheme for detection of colonic polyps. IEEE 
Transactions on Medical Imaging; 20(12): 1261-1274. 
ACKNOWLEDGEMENTS 
We would like to acknowledge that data sets we used have been 
provided courtesy of Dr. Richard Choi, Virtual Colonoscopy 
Centre, and Walter Reed Army Medical Centre in collaboration 
with National Cancer Institute. 
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