Illustration of the obstacles in computerized lung segmentation using examples

Medical Physics

Volumn 39, Issue 8, 2012, Pages 4984-4991

  Meng, Xin ^a   Qiang, Yongqian ^b   Zhu, Shaocheng ^c   Fuhrman, Carl ^a   Siegfried, Jill M ^d   Pu, Jiantao ^e  

^a UNIVERSITY OF PITTSBURGH SCHOOL OF MEDICINE   (United States)

^b XI'AN JIAOTONG UNIVERSITY   (China)

^c HENAN PROVINCIAL PEOPLE'S HOSPITAL   (China)

^d UNIVERSITY OF PITTSBURGH CANCER INSTITUTE   (United States)

^e UNIVERSITY OF PITTSBURGH   (United States)

Author keywords

challenge; computed tomography (CT); computer aided diagnosis; lung segmentation

Indexed keywords

BIOLOGICAL ORGANS; COMPUTER AIDED DIAGNOSIS; IMAGE SEGMENTATION; LARGE DATASET; PULMONARY DISEASES; VIRUSES;

CHALLENGE; CHRONIC OBSTRUCTIVE PULMONARY DISEASE; HUMAN IMMUNODEFICIENCY VIRUS; INTERSTITIAL LUNG DISEASE; LUNG SEGMENTATION; PRE-PROCESSING STEP; PULMONARY EMBOLISM; RECONSTRUCTION KERNEL;

COMPUTERIZED TOMOGRAPHY;

HUMAN IMMUNODEFICIENCY VIRUS;

EID: 84864696126     PISSN: 00942405     EISSN: None     Source Type: Journal    
DOI: 10.1118/1.4737023     Document Type: Article

References (25)

1. I. Sluimer, A. Schilham, M. Prokop, and B. van Ginneken, Computer analysis of computed tomography scans of the lung: A survey., IEEE Trans. Med. Imaging 25 (4), 385-405 (2006). 10.1109/TMI.2005.862753
2. J. Pu, S. Gu, S. Liu, S. Zhu, D. Wilson, J. M. Siegfried, and D. Gur, CT based computerized identification and analysis of human airways: A review., Med. Phys. 39 (5), 2603-2616 (2012). 10.1118/1.4703901
3. E. Ochsmann, T. Carl, P. Brand, H. J. Raithel, and T. Kraus, Inter-reader variability in chest radiography and HRCT for the early detection of asbestos-related lung and pleural abnormalities in a cohort of 636 asbestos-exposed subjects., Int. Arch. Occup. Environ. Health 83 (1), 39-46 (2010). 10.1007/s00420-009-0443-4
4. J. Tan, J. Pu, B. Zheng, X. Wang, and J. K. Leader, Computerized comprehensive data analysis of lung imaging database consortium (LIDC)., Med. Phys. 37 (7), 3802-3808 (2010). 10.1118/1.3455701
5. N. Lee, A. F. Laine, G. Márquez, J. M. Levsky, and J. K. Gohagan, Potential of computer-aided diagnosis to improve CT lung cancer screening., IEEE Rev. Biomed. Eng. 2, 136-146 (2009). 10.1109/RBME.2009.2034022
6. S. G. Armato III, M. I. Giger, C. J. Moran, J. T. Blackburn, K. Doi, and H. MacMabon, Computerized detection of pulmonary nodules on CT scans., Radiographics 19, 1303-1311 (1999).
7. D. Bartz, D. Mayer, J. Fischer, S. Ley, A. del Rio, S. Thust, C. Heussel, H. Kauczor, and W. Straer, Hybrid segmentation and exploration of the human lungs., in Proceedings of the IEEE Visualization Conference (IEEE Computer Society, Seattle, Washington, 2003), pp. 177-184.
8. M. N. Prasad, M. S. Brown, S. Ahmad, F. Abtin, J. Allen, I. da Costa, H. J. Kim, M. F. McNitt-Gray, J. G. Goldin, and S. K. Warfield, Automatic segmentation of lung parenchyma in the presence of diseases based on curvature of ribs., Acad. Radiol. 15 (9), 1173-1180 (2008). 10.1016/j.acra.2008.02.004
9. S. Hu, E. A. Hoffman, and J. M. Reinhardt, Automatic lung segmentation for accurate quantitation of volumetric x-ray CT images., IEEE Trans. Med. Imaging 20 (6), 490-498 (2001). 10.1109/42.929615 (Pubitemid 32657853)
10. J. Wang, F. Li, and Q. Li, Automated segmentation of lungs with severe interstitial lung disease in CT., Med. Phys. 36 (10), 4952-4599 (2009). 10.1118/1.3222872
11. M. Sofka, J. Wetzl, N. Birkbeck, J. Zhang, T. Kohlberger, J. Kaftan, J. Declerck, and S. K. Zhou, Multi-stage learning for robust lung segmentation in challenging CT volumes., Med. Image Comput. Comput. Assist. Interv. 14 (3), 667-674 (2011). 10.1007/978-3-642-23626-6-82
12. G. De Nunzio, E. Tommasi, A. Agrusti, R. Cataldo, I. De Mitri, M. Favetta, S. Maglio, A. Massafra, M. Quarta, M. Torsello, I. Zecca, R. Bellotti, S. Tangaro, P. Calvini, N. Camarlinghi, F. Falaschi, P. Cerello, and P. Oliva, Automatic lung segmentation in CT images with accurate handling of the hilar region., J. Digit Imaging 24 (1), 11-27 (2011). 10.1007/s10278-009-9229-1
13. S. Sun, C. Bauer, and R. Beichel, Automated 3-D segmentation of lungs with lung cancer in CT data using a novel robust active shape model approach., IEEE Trans. Med. Imaging 31 (2), 449-460 (2012). 10.1109/TMI.2011.2171357
14. J. Pu, J. Roos, C. A. Yi, S. Napel, G. D. Rubin, and D. S. Paik, Adaptive border marching algorithm: automatic lung segmentation on chest CT images., Comput. Med. Imaging Graph. 32 (6), 452-462 (2008). 10.1016/j.compmedimag.2008. 04.005
15. J. Pu, B. Zheng, J. K. Leader, and D. Gur, An automated CT based lung nodule detection scheme using geometric analysis of signed distance field., Med. Phys. 35 (8), 3451-3461 (2008). 10.1118/1.298349
16. J. Pu, C. Fuhrman, W. F. Good, F. C. Sciurba, and D. Gur, A differential geometric approach to automated segmentation of human airway tree., IEEE Trans. Med. Imaging 30 (2), 266-278 (2011). 10.1109/TMI.2010.2076300
17. E. M. van Rikxoort, M. Prokop, B. de Hoop, M. A. Viergever, J. P. Pluim, and B. van Ginneken, Automatic segmentation of pulmonary lobes robust against incomplete fissures., IEEE Trans. Med. Imaging 29 (6), 1286-1296 (2010). 10.1109/TMI.2010.2044799
18. J. Pu, B. Zheng, J. K. Leader, C. Fuhrman, F. Knollmann, A. Klym, and D. Gur, Pulmonary lobe segmentation in CT examinations using implicit surface fitting., IEEE Trans. Med. Imaging 28 (12), 1986-1996 (2009). 10.1109/TMI.2009.2027117
19. S. C. Park, J. K. Leader, J. Tan, G. S. Lee, S. H. Kim, I. S. Na, and B. Zheng, Separation of left and right lungs using 3-dimensional information of sequential computed tomography images and a guided dynamic programming algorithm., J. Comput. Assist. Tomogr. 35 (2), 280-289 (2011). 10.1097/RCT.0b013e31820e4389
20. E. M. van Rikxoort, B. de Hoop, M. A. Viergever, M. Prokop, and B. van Ginneken, Automatic lung segmentation from thoracic computed tomography scans using a hybrid approach with error detection., Med. Phys. 36 (7), 2934-2947 (2009). 10.1118/1.3147146
21. National Cancer Institute, LIDC, http://imaging.cancer.gov/.
22. S. G. Armato III, M. F. McNitt-Gray, A. P. Reeves, C. R. Meyer, G. McLennan, D. R. Aberle, E. A. Kazerooni, H. MacMahon, E. J. van Beek, D. Yankelevitz, E. A. Hoffman, C. I. Henschke, R. Y. Roberts, M. S. Brown, R. M. Engelmann, R. C. Pais, C. W. Piker, D. Qing, M. Kocherginsky, B. Y. Croft, and L. P. Clarke, The Lung Image Database Consortium (LIDC): An evaluation of radiologist variability in the identification of lung nodules on CT scans., Acad Radiol. 14 (11), 1409-1421 (2007). 10.1016/j.acra.2007.07.008 (Pubitemid 47615519)
23. J. K. Leader, B. Zheng, R. M. Rogers, F. C. Sciurba, A. Perez, B. E. Chapman, S. Patel, C. R. Fuhrman, and D. Gur, Automated lung segmentation in x-ray computed tomography: Development and evaluation of a heuristic threshold-based scheme., Acad Radiol. 10 (11), 1224-1236 (2003). 10.1016/S1076-6332(03)00380-5 (Pubitemid 37351895)
24. M. S. Brown, M. F. McNitt-Gray, N. J. Mankovich, J. G. Goldin, J. Hiller, L. S. Wilson, and D. R. Aberle, Method for segmenting chest CT image data using an anatomical model: Preliminary results., IEEE Trans. Med. Imaging 16 (6), 828-839 (1997). 10.1109/42.650879 (Pubitemid 127770442)
25. J. Pu, D. S. Paik, X. Meng, J. E. Roos, and G. D. Rubin, Shape break-and-repair strategy and its application to automated medical image segmentation., IEEE Trans. Vis. Comput. Graph. 17 (1), 115-124 (2011). 10.1109/TVCG.2010.56