Full text loading...
No data available.
Please log in to see this content.
You have no subscription access to this content.
No metrics data to plot.
The attempt to load metrics for this article has failed.
The attempt to plot a graph for these metrics has failed.
Selective enhancement filters for nodules, vessels, and airway walls in two- and three-dimensional CT scans
1.R. T. Greenlee, T. Murray, S. Bolden, and P. A. Wingo, “Cancer statistics 2000,” CA-Cancer J. Clin.50, 7–33 (2000).
2.Cancer facts and figures 2001, American Cancer Society, http://www.cancer.org.
3.SEER cancer statistics review 1973–1999, National Cancer Institute, http://seer.cancer.gov/csr/1973-1999.
4.S. Sone, S. Takashima, F. Li, Z. Yang, T. Honda, Y. Maruyama, M. Hasegawa, T. Yamanda, K. Kubo, K. Hanamura, and K. Asakura, “Mass screening for lung cancer with mobile spiral computed tomography scanner,” Lancet 351, 242–245 (1998).
5.M. Takizawa, S. Sone, S. Takashima, F. Li, Y. Maruyama, M. Hasegawa, K. Hanamura, and K. Asakura, “The mobile hospital—An experimental telemedicine system for the early detection of disease,” J. Telemed Telecare 4, 146–151 (1998).
6.S. Kawakami and T. Honda, “Characteristics of small lung cancers invisible on conventional chest radiography: Analysis of 44 lung cancers detected by population-based screening using low-dose spiral CT,” Br. J. Radiol. 73, 137–145 (2000).
7.S. Sone, F. Li, Z. Yang, T. Honda, Y. Maruyama, S. Takashima, M. Hasegawa, S. Kawakami, K. Kubo, M. Haniuda, and T. Yamada, “Results of three-year mass screening programme for lung cancer using mobile low-dose spiral computed tomography scanner,” Br. J. Cancer 74, 25–32 (2001).
8.C. I. Henschke, D. I. McCauley, D. F. Yankelovitz, 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, 99–105 (1999).
9.M. L. Giger, K. Doi, and H. MacMahon, “Image feature analysis and computer-aided diagnosis in digital radiography. 3. Automated detection of nodules in peripheral lung fields,” Med. Phys. 15, 158–166 (1988).
10.M. L. Giger, K. Doi, H. MacMahon, C. Metz, and F. F. Yin, “Pulmonary nodules: Computer-aided detection in digital chest images,” Radiographics 10, 41–51 (1990).
11.X. Xu, K. Doi, T. Kobayashi, H. MacMahon, and M. L. Giger, “Development of an improved CAD scheme for automated detection of lung nodules in digital chest images,” Med. Phys. 24, 1395–1403 (1997).
12.A. Shimizu, J. Hasegawa, and J. Toriwaki, “Minimum directional difference filter, a digital filter developed for the extraction of circumscribed shadows, and its characteristics,” IEICE Trans. J-76D-II, 241–249 (1993).
13.T. Okumura, T. Miwa, J. Kako, S. Yamamoto, M. Matsumoto, Y. Tateno, T. Iinuma, and T. Matsumoto, “Variable N-Quoit filter applied for automatic detection of lung cancer by X-ray CT,” in Computer-Assisted Radiology, edited by H. U. Lemke, M. V. Vannier, K. Inamura, and A. Farman (Elsevier Science, Amsterdam, 1998), pp. 242–247.
14.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 Trans. Med. Imaging 20, 595–604 (2001).
15.A. G. Armato, M. L. Giger, C. Moran, J. T. Blackburn, K. Doi, and H. MacMahon, “Computerized detection of pulmonary nodules on CT scans,” Radiographics 19, 1303–1311 (1999).
16.K. Kanazawa, Y. Kawata, N. Niki, H. Satoh, H. Ohmatsu, R. Kakinuma, M. Kaneko, K. Eguchi, and N. Moriyama, “Computer aided diagnostic system for pulmonary nodules based on helical CT images,” in Computer-Aided Diagnosis in Medical Imaging, edited by K. Doi, H. MacMahon, M. L. Giger, and K. R. Hoffmann (Elsevier Science, Amsterdam, 1999), pp. 131–136.
17.M. S. Brown, M. F. McNitt-Gary, J. G. Goldin, R. D. Suh, J. W. Sayre, and D. R. Aberle, “Patient-specific models for lung nodule detection and surveillance in CT images,” IEEE Trans. Med. Imaging 20, 1242–1250 (2001).
18.L. Fan, C. L. Novak, J. Qian, G. Kohl, and D. P. Naidich, “Automatic detection of lung nodules from multi-slice low-dose CT images,” Proc. SPIE 4322, 1828–1935 (2001).
19.M. N. Gurcan, B. Sahiner, N. Petrick, H.-P. Chan, E. A. Kazerooni, P. N. Cascade, and L. Hadjiiski, “Lung nodule detection on thoracic computed tomography images: Preliminary evaluation of a computer-aided diagnosis system,” Med. Phys. 29, 2552–2558 (2002).
20.T. M. Koller, G. Gerig, G. Szekely, and D. Dettwiler, “Multiscale detection of curvilinear structures in 2-D and 3-D image data,” in International Conference on Computer Vision (IEEE Computer Society Press, Los Alamitos, 1995), pp. 864–869.
21.C. Lorenz, I.-C. Carlson, T. M. Buzug, C. Fassnacht, and J. Weese, “Multi-scale line segmentation with automatic estimation of width, contrast and tangential direction in 2D and 3D medical images,” First Joint Conference on Computer Vision, Virtual Reality and Robotics in Medicine, and Medical Robotics and Computer-Assisted Surgery (Springer, New York, 1997), pp. 233–242.
22.A. F. Frangi, W. J. Niessen, R. M. Hoogeveen, T. van Walsum, and M. A. Viergever, “Model-based quantitation of 3-D magnetic resonance angiographic images,” IEEE Trans. Med. Imaging 18, 946–956 (1999).
23.Y. Sato, S. Nakajima, N. Shiraga, H. Atsumi, S. Yoshida, T. Koller, G. Gerig, and R. Kikinis, “3D multi-scale line filter for segmentation and visualization of curvilinear structure in medical images,” Med. Image Anal 2, 143–168 (1998).
24.Y. Sato, C. Westin, A. Bhalerao, S. Nakajima, N. Shiraga, S. Tamura, and R. Kikinis, “Tissue classification based on 3D local intensity structure for volume rendering,” IEEE Trans. Vis. Comput. Graph. 6, 160–180 (2000).
25.W. H. Press, B. P. Flannery, S. A. Teukolsky, and W. T. Vetterling, Numerical Recipes: The Art of Scientific Computing (Cambridge University Press, Cambridge, 1986), pp. 498–546.
26.J. Koenderink, “The structure of images,” Biol. Cybern. 50, 363–370 (1984).
27.T. Lindeberg, Scale-space Theory in Computer Vision (Kluwer Academic, Dordrecht, 1994).
28.T. Lindeberg, “On scale detection for differential operators,” Proceedings of the Eighth Scandinavian Conference On Image Analysis, 1993, pp. 857–866.
Article metrics loading...