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Automated iterative neutrosophic lung segmentation for image analysis in thoracic computed tomography

dc.contributor.authorGuo, Yanhui
dc.contributor.authorZhou, Chuan
dc.contributor.authorChan, Heang‐ping
dc.contributor.authorChughtai, Aamer
dc.contributor.authorWei, Jun
dc.contributor.authorHadjiiski, Lubomir M.
dc.contributor.authorKazerooni, Ella A.
dc.date.accessioned2017-01-06T20:49:04Z
dc.date.available2017-01-06T20:49:04Z
dc.date.issued2013-08
dc.identifier.citationGuo, Yanhui; Zhou, Chuan; Chan, Heang‐ping ; Chughtai, Aamer; Wei, Jun; Hadjiiski, Lubomir M.; Kazerooni, Ella A. (2013). "Automated iterative neutrosophic lung segmentation for image analysis in thoracic computed tomography." Medical Physics 40(8): n/a-n/a.
dc.identifier.issn0094-2405
dc.identifier.issn2473-4209
dc.identifier.urihttps://hdl.handle.net/2027.42/134994
dc.publisherAmerican Association of Physicists in Medicine
dc.publisherWiley Periodicals, Inc.
dc.subject.otherComputed tomography
dc.subject.otherSegmentation
dc.subject.othercomputerised tomography
dc.subject.otherHeart
dc.subject.otherSet theory
dc.subject.otherMedical image segmentation
dc.subject.otherVascular system
dc.subject.otherComputer aided diagnosis
dc.subject.otherMedical imaging
dc.subject.otherImage analysis
dc.subject.otherRadiologists
dc.subject.otherComputed tomography
dc.subject.otherLungs
dc.subject.otherImage data processing or generation, in general
dc.subject.otherDigital computing or data processing equipment or methods, specially adapted for specific applications
dc.subject.otherComputerised tomographs
dc.subject.otherneutrosophic operation
dc.subject.otherlung segmentation
dc.subject.otherpulmonary embolism detection
dc.subject.othermedical image processing
dc.subject.otherlung
dc.subject.otherdiseases
dc.subject.otherimage segmentation
dc.titleAutomated iterative neutrosophic lung segmentation for image analysis in thoracic computed tomography
dc.typeArticleen_US
dc.rights.robotsIndexNoFollow
dc.subject.hlbsecondlevelMedicine (General)
dc.subject.hlbtoplevelHealth Sciences
dc.description.peerreviewedPeer Reviewed
dc.contributor.affiliationumDepartment of Radiology, University of Michigan, Ann Arbor, Michigan 48109
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/134994/1/mp2679.pdf
dc.identifier.doi10.1118/1.4812679
dc.identifier.sourceMedical Physics
dc.identifier.citedreferenceS. Y. Hu, E. A. Hoffman, and J. M. Reinhardt, â Automatic lung segmentation for accurate quantitation of volumetric Xâ ray CT images,â IEEE Trans. Med. Imaging 20, 490 â 498 ( 2001 ). 10.1109/42.929615
dc.identifier.citedreferenceJ. Z. Shi, B. Sahiner, H. P. Chan, L. Hadjiiski, C. Zhou, P. N. Cascade, N. Bogot, E. A. Kazerooni, Y. T. Wu, and J. Wei, â Pulmonary nodule registration in serial CT scans based on rib anatomy and nodule template matching,â Med. Phys. 34, 1336 â 1347 ( 2007 ). 10.1118/1.2712575
dc.identifier.citedreferenceZ. V. Maizlin, P. M. Vos, M. C. Godoy, and P. L. Cooperberg, â Computerâ aided detection of pulmonary embolism on CT angiography: Initial experience,â J. Thorac. Imaging 22, 324 â 329 ( 2007 ). 10.1097/RTI.0b013e31815b89ca
dc.identifier.citedreferenceF. A. Anderson, H. B. Wheeler, R. J. Goldberg, D. W. Hosmer, N. A. Patwardhan, B. Jovanovic, A. Forcier, and J. E. Dalen, â A populationâ based perspective of the hospital incidence and caseâ fatality rates of deepâ vein thrombosis and pulmonaryâ embolism â The Worcester Dvt study,â Arch. Intern Med. 151, 933 â 938 ( 1991 ). 10.1001/archinte.1991.00400050081016
dc.identifier.citedreferenceU. J. Schoepf and P. Costello, â CT angiography for diagnosis of pulmonary embolism: State of the art,â Radiology 230, 329 â 337 ( 2004 ). 10.1148/radiol.2302021489
dc.identifier.citedreferenceJ. E. Dalen, â Pulmonary embolism: What have we learned since Virchow? â Natural history, pathophysiology, and diagnosis,â Chest 122, 1440 â 1456 ( 2002 ). 10.1378/chest.122.4.1440
dc.identifier.citedreferenceM. Rodger and P. S. Wells, â Diagnosis of pulmonary embolism,â Thromb. Res. 103, V225 â V238 ( 2001 ). 10.1016/S0049â 3848(01)00326â 7
dc.identifier.citedreferenceF. Smarandache, A Unifying Field in Logics: Neutrsophic Logic. Neutrosophy, Neutrosophic Set, Neutrosophic Probability ( American Research Press, Rehoboth, MA, 2005 ).
dc.identifier.citedreferenceS. R. Sternberg, â Biological image processing,â Computer 16, 22 â 34 ( 1983 ). 10.1109/MC.1983.1654163
dc.identifier.citedreferenceC. Zhou, H. P. Chan, B. Sahiner, L. M. Hadjiiski, A. Chughtai, S. Patel, J. Wei, P. N. Cascade, and E. A. Kazerooni, â Computerâ aided detection of pulmonary embolism in computed tomographic pulmonary angiography (CTPA): Performance evaluation with independent data sets,â Med. Phys. 36, 3385 â 3396 ( 2009 ). 10.1118/1.3157102
dc.identifier.citedreferenceI. Sluimer, A. Schilham, M. Prokop, and B. van Ginneken, â Computer analysis of computed tomography scans of the lung: A survey,â IEEE Trans. Med. Imaging 25, 385 â 405 ( 2006 ). 10.1109/TMI.2005.862753
dc.identifier.citedreferenceM. N. Prasad, M. S. Brown, S. Ahmad, F. Abtin, J. Allen, I. da Costa, H. J. Kim, M. F. McNittâ Gray, and J. G. Goldin, â Automatic segmentation of lung parenchyma based on curvature of ribs using HRCT images in scleroderma studies,â Proc. SPIE 6915, 69152K ( 2008 ). 10.1117/12.769503
dc.identifier.citedreferenceE. M. van Rikxoort, B. de Hoop, M. A. Viergever, M. Prokop, and B. van Ginneken, â Automatic lung segmentation from thoracic computed tomography scans using a hybrid approach with error detection,â Med. Phys. 36, 2934 â 2947 ( 2009 ). 10.1118/1.3147146
dc.identifier.citedreferenceJ. K. Leader, B. Zheng, R. M. Rogers, F. C. Sciurba, A. Perez, B. E. Chapman, S. Patel, C. R. Fuhrman, and D. Gur, â Automated lung segmentation in Xâ ray computed tomography: Development and evaluation of a heuristic thresholdâ based scheme,â Acad. Radiol. 10, 1224 â 1236 ( 2003 ). 10.1016/S1076â 6332(03)00380â 5
dc.identifier.citedreferenceI. Sluimer, M. Prokop, and B. van Ginneken, â Toward automated segmentation of the pathological lung in CT,â IEEE Trans. Med. Imaging 24, 1025 â 1038 ( 2005 ). 10.1109/TMI.2005.851757
dc.identifier.citedreferenceS. G. Armato, M. L. Giger, and H. MacMahon, â Automated lung segmentation in digitized posteroanterior chest radiographs,â Acad. Radiol. 5, 245 â 255 ( 1998 ). 10.1016/S1076â 6332(98)80223â 7
dc.identifier.citedreferenceS. G. Armato and H. MacMahon, â Automated lung segmentation and computerâ aided diagnosis for thoracic CT scans,â Comput. Assist. Radiol. Surg. 1256, 977 â 982 ( 2003 ). 10.1016/S0531â 5131(03)00388â 1
dc.identifier.citedreferenceW. F. Sensakovic, S. G. Armato, C. Straus, R. Y. Roberts, P. Caligiuri, A. Starkey, and H. L. Kindler, â Computerized segmentation and measurement of malignant pleural mesothelioma,â Med. Phys. 38, 238 â 244 ( 2011 ). 10.1118/1.3525836
dc.identifier.citedreferenceB. J. Li and J. M. Reinhardt, â Automatic generation of object shape models and their application to tomographic image segmentation,â Proc. SPIE 4322, 311 â 322 ( 2001 ). 10.1117/12.431101
dc.identifier.citedreferenceY. Arzhaeva, M. Prokop, K. Murphy, E. M. van Rikxoort, P. A. de Jong, H. A. Gietema, M. A. Viergever, and B. van Ginneken, â Automated estimation of progression of interstitial lung disease in CT images,â Med. Phys. 37, 63 â 73 ( 2010 ). 10.1118/1.3264662
dc.identifier.citedreferenceI. C. Sluimer, M. Niemeijer, and B. van Ginneken, â Lung field segmentation from thinâ slice CT scans in presence of severe pathology,â Proc. SPIE 5370, 1447 â 1455 ( 2004 ). 10.1117/12.535312
dc.identifier.citedreferenceP. Korfiatis, C. Kalogeropoulou, A. Karahaliou, A. Kazantzi, S. Skiadopoulos, and L. Costaridou, â Texture classificationâ based segmentation of lung affected by interstitial pneumonia in highâ resolution CT,â Med. Phys. 35, 5290 â 5302 ( 2008 ). 10.1118/1.3003066
dc.identifier.citedreferenceJ. Wang, F. Li, K. Doi, and Q. Li, â A novel scheme for detection of diffuse lung disease in MDCT by use of statistical texture features,â Proc. SPIE 7260, 726039 ( 2009 ). 10.1117/12.811635
dc.identifier.citedreferenceJ. H. Wang, F. Li, and Q. Li, â Automated segmentation of lungs with severe interstitial lung disease in CT,â Med. Phys. 36, 4592 â 4599 ( 2009 ). 10.1118/1.3222872
dc.identifier.citedreferenceY. Masutani, H. MacMahon, and K. Doi, â Computerized detection of pulmonary embolism in spiral CT angiography based on volumetric image analysis,â IEEE Trans. Med. Imaging 21, 1517 â 1523 ( 2002 ). 10.1109/TMI.2002.806586
dc.identifier.citedreferenceY. Masutani, H. MacMahon, and K. Doi, â Automated segmentation and visualization of the pulmonary vascular tree in spiral CT angiography: An anatomyâ oriented approach based on threeâ dimensional image analysis,â J. Comput. Assist. Tomogr. 25, 587 â 597 ( 2001 ). 10.1097/00004728â 200107000â 00014
dc.identifier.citedreferenceY. Masutani, H. MacMahon, and K. Doi, â Computerâ assisted detection of pulmonary embolism,â Proc. SPIE 3979, 944 â 950 ( 2000 ). 10.1117/12.387760
dc.identifier.citedreferenceS. G. Armato and W. F. Sensakovic, â Automated lung segmentation for thoracic CT: Impact on computerâ aided diagnosis,â Acad. Radiol. 11, 1011 â 1021 ( 2004 ). 10.1016/j.acra.2004.06.005
dc.owningcollnameInterdisciplinary and Peer-Reviewed


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