Automated detection of pulmonary nodules from whole lung helical CT scans: Performance comparison for isolated and attached nodules

Proceedings of SPIE - The International Society for Optical Engineering

Volumn 5370 II, Issue , 2004, Pages 791-800

  Enquobahrie, Andinet A ^a,b   Reeves, Anthony P ^a   Yankelevitz, David F ^b   Henschke, Claudia I ^b  

^a Cornell University   (United States)

^b WEILL CORNELL MEDICAL COLLEGE   (United States)

Author keywords

Computer aided detection; FROC; Hypothesis generation; Pulmonary nodules; Segmentation

Indexed keywords

COMPUTER AIDED DETECTION; FROC; HYPOTHESIS GENERATION; PULMONARY NODULES;

ALGORITHMS; BIFURCATION (MATHEMATICS); COMPUTER AIDED DIAGNOSIS; IMAGE SEGMENTATION; MATHEMATICAL MODELS; ONCOLOGY; PULMONARY DISEASES; RADIOLOGY; SCREENING; TUMORS;

COMPUTERIZED TOMOGRAPHY;

EID: 5644226200     PISSN: 0277786X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1117/12.536096     Document Type: Conference Paper

References (14)

1. A. C. Society, Cancer Facts and Figures 2003, Atlanta, 2003.
2. C. I. Henschke, D. I. McCauley, D. F. Yankelevitz, D. P. Naidich, G. McGuinness, O. S.Miettinen, D. M. Libby, M. W. Pasmantier, J. Koizumi, N. K. Altorki, and J. P. Smith, "Early lung cancer action project: Overall design and findings from baseline screening," Lancet 354, pp. 99-105, 1999.
3. C. I. Henschke, D. P. Naidich, D. F. Yankelevitz, G. McGuinness, D. I. McCauley, J. P. Smith, D. M. Libby, and M. W. Pasmantier, "Early lung cancer action project: Initial findings on repeat screening," Cancer 92, pp. 153-159, 2001.
4. L. Fan, C. Novak, G. K. J. Qian, and D. Naidich, "Automatic detection of lung nodules from multi-slice low-dose CT images," Proc. SPIE 4322, pp. 1828-1835, 2001.
5. H.Taguchi, Y.Kawata, N. Niki, H.Satoh, H.Ohmatsu, K.Eguchi, M.Kaneko, and N. Moriyama, "Lung cancer detection based on helical CT images using curved surface morphology analysis," Proc. SPIE 3661, pp. 1307-1313, 1999.
6. M.G.Penedo, M.J.Carreira, A.Mosquera, and D. Cabello, "Computer-aided diagnosis: a neural-network based approach to lung nodule detection," IEEE Transactions on Medical Imaging 17(6), pp. 872-879, 1998.
7. S-CB.Lo, S.-L. A. Lou, J.-S. Lin, M. Freedman, M. V. Chien, and S. K. Mun, "Artifical convolution neural network techniques and applications for lung nodule detection," IEEE Transactions on Medical Imaging 14(4), pp. 711-718, 1995.
8. S. Lou, C. Chang, K. Lin, and T. Chen, "Object based deformation technique for 3-d CT lung nodule detection," Proc. SPIE 3661, pp. 1544-1552, 1999.
9. S. Erberich, K. Song, H.Arakawa, H. K. Huang, R. Webb, K. S. Hoo, and B. Loo, "knowledge-based lung nodule detection from helical CT," RSNA 1997 Annual Meeting, 1997.
10. M. Brown and M. F. McNitt-Gray, "Method for segmenting chest CT image data using an anatomical model: preliminary results," Proc. SPIE 16, pp. 828-839, 1997.
11. S. Armato, M. L. Giger, C. J. Moran, J. Blackburn, K. Doi, and H. MacMahon, "Computerized detection of pulmonary nodules on CT scans," RadioGraphics 19, pp. 1303-1311, 1999.
12. Y.Lee, T. Hara, H. Fujita, S. Itoh, and T. Ishigaki, "Automated detection of pulmonary nodules in helical CT images based on an improved template-matching technique," IEEE Transactions on Medical Imaging 20, pp. 595-604, 2001.
13. M. N. Gurcan, B. Sahiner, N. Petrick, and H.-P. Chan, "Lung nodule detection on thoracic computed tomography images: Preliminary evaluation of a computer-aided diagnosis system," Medical Physics 29, pp. 2552-2558, November 2002.
14. K.Kanazawa, M.kubo, N.Niki, H.Satoh, H.Ohmatsu, K.Eguchi, and N.Moriyama, "Computer assisted diagnosis of lung cancer using helical x-ray CT," Proc. SPIE, pp. 381-385, 1996.