



@book {2396,
	title = {Lung parenchyma segmentation from CT images based on material decomposition},
	series = {Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)Lect. Notes Comput. Sci.},
	volume = {4142 LNCS},
	year = {2006},
	note = {Conference code: 68310Cited By (since 1996): 1Export Date: 21 November 2012Source: ScopusLanguage of Original Document: EnglishCorrespondence Address: Vinhais, C.; Instituto de Engenharia Biom{\'e}dica, Laborat{\'o}rio de Sinal e Imagem Biom{\'e}dica, Campus da FEUP, Rua Roberto Frias, s/n, 4200-465 Porto, Portugal; email: cav@isep.ipp.ptReferences: Armato, S.G., Giger, M.L., Moran, C.J., Doi, K., MacMahon, H., Computerized detection of lung nodules in computed tomography scans (1998) Proceedings of the 1st International Workshop on Computer-aided Diagnosis, pp. 119-124;Armato III, S.G., Giger, M.L., Morgan, C.J., Blackburn, J.T., Doi, K., MacMahon, H., Computerized detection of pulmonary nodules on CT scans (1999) RadioGraphics, 19 (5), pp. 1303-1311; 
Brown, M.S., McNitt-Gray, M.F., Goldin, J.G., Suh, R.D., Sayre, J.W., Aberle, D.R., Patient-specific models for lung nodule detection and surveillance in CT images (2001) IEEE Trans. on Medical Imaging, 20 (12), pp. 1242-1250; 
Gurcan, M.N., Sahiner, B., Petrick, N., Chan, H.-P., Kazerooni, E.A., Cascade, P.N., Hadjiiski, L., Lung nodule detection on thoracic computed tomography images: Preliminary evaluation of a computer-aided diagnosis system (2002) Medical Physics, 29 (11), pp. 2552-2558; 
Armato III, S.G., Sensakovic, W.F., Automated lung segmentation for thoracic CT: Impact on computer-aided diagnosis (2004) Academic Radiology, 11, pp. 1011-1021; 
Kemerink, G.J., Lamers, R.J.S., Pellis, B.J., Kruize, H.H., Van Engelshoven, J.M.A., On segmentation of lung parenchyma in quantitative computed tomography of the lung (1998) Medical Physics, 25 (12), pp. 2432-2439; 
Brown, M.S., McNitt-Gray, M.F., Goldin, J.G., Greaser, L.E., Aberle, D.R., Knowledge-based method for segmentation and quantitative analysis of lung function from CT (1998) Proceedings of the 1st International Workshop on Computer-aided Diagnosis, pp. 113-118; 
Leader, J.K., Zheng, B., Rogers, R.M., Sciurba, F.C., Perez, A., Chapman, B.E., Patel, S., Gur, D., Automated lung segmentation in X-ray computed tomography: Development and evaluation of a heuristic threshold-based scheme (2003) Academic Radiology, 10, pp. 1224-1236; 
Hu, S., Hoffman, E.A., Reinhardt, J.M., Automatic lung segmentation for accurate quantitation of volumetric X-ray CT images (2001) IEEE Trans. on Medical Imaging, 20 (6), pp. 490-498; 
Alvarez, R.E., Macovsky, A., Energy-selective reconstruction in X-ray computerized tomography (1976) Phys. Med. Biol., 21, pp. 733-744; 
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Rijsbergen, C.J.V., (1979) Information Retrieval, , London, Butterworths, 2nd ed
},
	month = {2006///},
	pages = {624 - 635},
	address = {Povoa de Varzim},
	abstract = {We present a fully automated method for extracting the lung region from volumetric X-ray CT images based on material decomposition. By modeling the human thorax as a composition of different materials, the proposed method follows a threshold-based, hierarchical voxel classification strategy. The segmentation procedure involves the automatic computation of threshold values and consists on three main steps: patient segmentation and decomposition, large airways extraction and lung parenchyma decomposition, and lung region of interest segmentation. Experimental results were performed on thoracic CT images acquired from 30 patients. The method provides a reproducible set of thresholds for accurate extraction of the lung parenchyma, needed for computer aided diagnosis systems. {\textcopyright} Springer-Verlag Berlin Heidelberg 2006.},
	keywords = {Biological organs, Classification (of information), Computer simulation, Computerized tomography, Image segmentation, Lung parenchyma, Medical imaging, Patient segmentation, Patient treatment, Volumetric X-ray CT images, Voxel classification strategy},
	isbn = {03029743 (ISSN); 3540448942 (ISBN); 9783540448945 (ISBN)},
	url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-33749660395\&partnerID=40\&md5=d07d50c5605d8c249a87771d3469fa78},
	author = {Vinhais, C. and Campilho, A.}
}
