3D COLONIC POLYP DETECTION IN CT IMAGES USING TEMPLATE MATCHING

[1] Mayor S., “Single flexible sigmoidoscopy
screening to prevent colorectal cancer: baseline
findings of a UK multicentre randomised trial”,
The Lancet, Vol 359, April 13 2002, pp. 1291 –
1300
[2] Daniel C., Johnson and Abraham H.
Dachman, “CT Colonography: The Next Colon
Screening Examination?”, Radiology 2000 216:
331-341.
[3] Pickhardt P. J., Choi J. R., Hwang I., Butler
J. A., Puckett M. L., Hildebrandt H. A., Wong R.
K., Nugent P. A., Mysliwiec P. A., and Schindler
W. R., "Computed Tomographic Virtual
Colonoscopy to Screen for Colorectal Neoplasia
in Asymptomatic Adults," The New England
Journal of Medicine, vol. 349, pp. 2191, 2003.
[4] Yoshida H., Nppi J., “Three-Dimensional
Computer- Aided Diagnosis Scheme for
Detection of Colonic Polyps”, Trans. on Medical
Imaging, vol. 20, no. 12, 2001.
3D Colonic Polyp Detection In CT Images Using Template Matching
Serhat ÖZEKES
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[5] Vining D. J., Ge Y., Ahn D. K. , Stelts D.
R., “Virtual colonoscopy with computer-assisted
polyp detection”, Computer-Aided Diagnosis in
Medical Imaging. Address: Amsterdam,
Netherlands: Elsevier Science B.V., pp. 445-452
1999.
[6] Summers R.M., Johnson C.D., Pusanik
L.M., Malley J.D., Youssef A.M., Reed J.E.,
“Automated polyp detection at CT
colonography: Feasibility assessment in a human
population,” Radiology, vol. 219, pp. 51–59,
2001.
[7] Kiss G., Van J., Thomeer M., Suetens P.,
Marchal G., “Computer-aided diagnosis in
virtual colonography via combination of surface
normal and sphere fitting methods,” European
Radiology, vol. 12, pp. 77–81, 2002.
[8] Yoshida H., Masutani Y., MacEneaney P.,
Rubin D. T., Dachman A. H., “Computerized
detection of colonic polyps at CT colonography
on the basis of volumetric features: Pilot study”,
Radiology, vol. 222, pp. 327-336, 2002.
[9] Paik D.S., Beaulieu C.F., Rubin G.D., Acar
B., Jeffrey R.B., Yee J., Dey J., Napel S.,
“Surface normal overlap: a computeraided
detection algorithm with application to colonic
polyps and lung nodules in helical CT”, IEEE
Trans Med Imaging, 23(6) pp. 661-75, 2004.
[10] http://nova.nlm.nih.gov/WRAMC
[11]Hounsfield G.N., “Computed medical
imaging”, Med Phys., vol. 7, pp. 283-90, (1980).
[12]Wyatt C.L., Ge Y., Vining D.J., “Automatic
Segmentation of Colon for Virtual
Colonoscopy”, Computrized medical Imaging
and graphics,Vol. 24, 2000(1-9).
[13] Masutani Y., Yoshida H., MaacEnearney P.,
Dachman A. ,”Automated Segmentation of
Colonic Walls for Computerized detection of
Polypsin CT Colonography”, Journal of
Computer Assisted Tomography, Vol. 25(4),
july/Agust 2001, pp 629-638
[14] Perry J., et. al..“Computed Tomographic
Virtual Colonoscopy to Screen for Colorectal
Neoplasia in Asymptomatic Adults” , The new
England journal of medicine, vol. 349,
December 4, 2003
[15] Ronse C. and Devijver P. A., “Connected
components in binary images: the detection
problem”, Research Studies Press, NY: Wiley,
1984.
[16]Manohar M. and Ramapriyan H. K.,
“Connected Component Labeling of Binary
Images on a Mesh Connected Massively Parallel
Processor,” Computer Vision, Graphics, and
Image Processing, vol. 45, 1989, pp. 133-149.
[17] Stefano L. D. and Bulgarelli A., “A simple
and efficient connected components labeling
algorithm,” in Proceedings of International
Conference on Image Analysis and Processing,
1999, pp. 322-327.
Serhat Özekes was born in Washington D.C. in 1978. He received his B.Sc., M.Sc. and
Ph.D. degrees from the Marmara University, Department of Electronics and Computer
Education in 2000, 2002 and 2006 respectively. He has been working as lecturer in Istanbul
Commerce University since 2002. Recently he is studying on medical image processing.