Advanced SearchSearch Tips
3D mechanical model based pulmonary nodule segmentation in CT images
facebook(new window)  Pirnt(new window) E-mail(new window) Excel Download
 Title & Authors
3D mechanical model based pulmonary nodule segmentation in CT images
Yoon, Ji-Seok; Choi, Tae-Sun;
  PDF(new window)
In this paper, a 3D mechanical model based on pulmonary nodule segmentation method is proposed. The proposed method has three main parts. First, an initial 3D mechanical model is generated. The model is made up of many triangle elements resulting in forming whole shape of the model as sphere. Second, points of the model are deformed, and finally internal and external energies according to each deformation are calculated. The internal energy is determined by the model shape, and the external energy is determined by intensity. After the model is deformed, the process of searching the minimum energy generated by the deformation is executed repetitively. If the model energy converges, the nodule is segmented by using the proposed model. The proposed method greatly improves the result compared with conventional methods.
3D mechanical model;external energy;internal energy;nodule segmentation;
 Cited by
CT Angiography 영상에서 대동맥 추출을 위한 혈관 분할 알고리즘 성능 평가,김태형;황영상;신기영;

한국정보전자통신기술학회논문지, 2016. vol.9. 2, pp.196-204 crossref(new window)
Cancer research UK, "Cancer survival statistics for common cancers",

W.J. Kostis, A.P. Reeves, D.F. Yankelevitz, and C.I. Henschke, "Threedimensional segmentation and growth-rate estimation of small pulmonary nodules in helical ct images," Medical Imaging, IEEE Transactions on, vol. 22, no. 10, pp.1259-1274, 2003. crossref(new window)

Rafael Wiemker and Andre Zwartkruis, "Optimal thresholding for 3D segmentation of pulmonary nodules in high resolution CT," International Congress Series, vol. 1230, pp. 653-658, 2001.

J Dehmeshki, H Amin, M Valdivieso, and X Ye, "Segmentation of pulmonary nodules in thoracic CT scans: a region growing approach," IEEE transactions on medical imaging, vol. 27, no. 4, pp. 467-80, 2008. crossref(new window)

Riccardo Boscolo, Matthew S. Brown, and Michael F. McNitt-Gray, "Medical image segmentation with knowledge-guided robust active contours," RadioGraphics, vol. 22, no. 2, pp. 437-448, 2002. crossref(new window)

Ted W. Way, Lubomir M. Hadjiiski, Berkman Sahiner, Heang-Ping Chan, Philip N. Cascade, Ella A. Kazerooni, Naama Bogot, and Chuan Zhou, "Computer-aided diagnosis of pulmonary nodules on ct scans: Segmentation and classication using 3d active contours," Medical Physics, vol. 33, no. 7, pp. 2323-2337, 2006. crossref(new window)

Ning Xu, Narendra Ahuja, and Ravi Bansal, "Object segmentation using graph cuts based active contours," Computer Vision and Image Understanding, vol. 107, no. 3, pp. 210-224, 2007. crossref(new window)

D.T. Lee and B.J. Schachter, "Two algorithms for constructing a delaunay triangulation," International Journal of Computer & Information Sciences, vol. 9, no.3, pp. 219-242, 1980. crossref(new window)

P. Persson and G. Strang, "A simple mesh generator in matlab," SIAM Review, vol. 46, no. 2, pp. 329-345, 2004. crossref(new window)

Samuel G. Armato, III, Geoffrey McLennan, Luc Bidaut, Michael F. McNitt-Gray, Charles R. Meyer, Anthony P. Reeves, Binsheng Zhao, Denise R. Aberle, Claudia I. Henschke, Eric A. Hoffman, Ella A. Kazerooni, Heber MacMahon1, Edwin J. R. van Beek, David Yankelevitz, Alberto M. Biancardi, Peyton H. Bland, Matthew S. Brown, Roger M. Engelmann, Gary E. Laderach, Daniel Max, Richard C. Pais, David P.-Y. Qing, Rachael Y. Roberts1, Amanda R. Smith9, Adam Starkey, Poonam Batra, Philip Caligiuri, Ali Farooqi, Gregory W. Gladish, C. Matilda Jude, Reginald F. Munden, Iva Petkovska, Leslie E. Quint, Lawrence H. Schwartz, Baskaran Sundaram, Lori E. Dodd, Charles Fenimore, David Gur, Nicholas Petrick, John Freymann, Justin Kirby, Brian Hughes, Alessi Vande Casteele, Sangeeta Gupte, Maha Sallam, Michael D. Heath, Michael H. Kuhn, Ekta Dharaiya, Richard Burns, David S. Fryd, Marcos Salganicoff, Vikram Anand, Uri Shreter, Stephen Vastagh, Barbara Y. Croft, and Laurence P. Clarke, "The Lung Image Database Consortium (LIDC) and Image Database Resource Initiative (IDRI): A Completed Reference Database of Lung Nodules on CT Scans", Medical Physics, Volume 38, Issue 2, pp. 915-931, 2011. crossref(new window)

D. Cascio, R.Magro, F.Fauci, M.Iacomi, G.Raso, "Automatic detection of lung nodules in CT datasets based on stable 3D mass-spring models " Computers in Biology and Medicine 42, pp, 1098-1109, 2012. crossref(new window)

Jia-Yin Zhou, Damon W. K. Wong, Feng Ding, Sudhakar K. Venkatesh, Qi Tian, Ying-Yi Qi, Wei Xiong, Jimmy J. Liu, Wee-Kheng Leow, "Liver tumour segmentation using contrast-enhanced multi-detector CT data: performance benchmarking of three semiautomated methods", European Radiology, Volume 20, Issue 7, pp 1738-1748, 2010 crossref(new window)