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Volumn 39, Issue 3, 2015, Pages

Automatic Lung Segmentation Using Control Feedback System: Morphology and Texture Paradigm

Author keywords

High resolution computed tomography thorax (HRCT); Interstitial lung disease; Lung segmentation

Indexed keywords

ARTICLE; AUTOMATIC LUNG SEGMENTATION; CLASSIFICATION ALGORITHM; COMPARATIVE EFFECTIVENESS; COMPUTED TOMOGRAPHY SCANNER; COMPUTER ASSISTED DIAGNOSIS; CONTROL SYSTEM; CONTROLLED STUDY; COST BENEFIT ANALYSIS; DIAGNOSTIC ACCURACY; DIAGNOSTIC ERROR; DIAGNOSTIC RADIOLOGIST; DIAGNOSTIC TEST ACCURACY STUDY; FEMALE; HIGH RESOLUTION COMPUTER TOMOGRAPHY; HUMAN; IMAGING SOFTWARE; INTERSTITIAL LUNG DISEASE; LABORATORY AUTOMATION; LUNG FUNCTION; LUNG STRUCTURE; MAJOR CLINICAL STUDY; MALE; ONLINE SYSTEM; PILOT STUDY; RETROSPECTIVE STUDY; VALIDATION STUDY; ALGORITHM; AUTOMATED PATTERN RECOGNITION; DIAGNOSTIC IMAGING; LUNG DISEASES, INTERSTITIAL; PATHOLOGY; PROCEDURES; REPRODUCIBILITY; X-RAY COMPUTED TOMOGRAPHY;

EID: 84922469743     PISSN: 01485598     EISSN: 1573689X     Source Type: Journal    
DOI: 10.1007/s10916-015-0214-6     Document Type: Article
Times cited : (63)

References (33)
  • 1
    • 0017281233 scopus 로고
    • Interstitial lung disease in polymyositis and dermatomyositis: analysis of six cases and review of the literature
    • Schwarz, M. I., Matthay, R. A., Sahn, S. A., Stanford, R. E., Marmorstein, B. L., and Scheinhorn, D. J., Interstitial lung disease in polymyositis and dermatomyositis: analysis of six cases and review of the literature. Medicine 55(1):89–104, 1976.
    • (1976) Medicine , vol.55 , Issue.1 , pp. 89-104
    • Schwarz, M.I.1    Matthay, R.A.2    Sahn, S.A.3    Stanford, R.E.4    Marmorstein, B.L.5    Scheinhorn, D.J.6
  • 3
    • 84883036372 scopus 로고    scopus 로고
    • Interstitial lung disease due to fumes from heat-cutting polymer rope
    • Sharman, P., and Wood-Baker, R., Interstitial lung disease due to fumes from heat-cutting polymer rope. Occup. Med. 63(6):451–453, 2013.
    • (2013) Occup. Med. , vol.63 , Issue.6 , pp. 451-453
    • Sharman, P.1    Wood-Baker, R.2
  • 6
    • 84860826604 scopus 로고    scopus 로고
    • Comparison of human lung tissue mass measurements from ex vivo lungs and high resolution CT software analysis
    • Henne, E., Anderson, J. C., Lowe, N., and Kesten, S., Comparison of human lung tissue mass measurements from ex vivo lungs and high resolution CT software analysis. BMC Pulm. Med. 12(1):18, 2012.
    • (2012) BMC Pulm. Med. , vol.12 , Issue.1 , pp. 18
    • Henne, E.1    Anderson, J.C.2    Lowe, N.3    Kesten, S.4
  • 7
    • 77954636483 scopus 로고    scopus 로고
    • Does reader visual fatigue impact interpretation accuracy? Proc. SPIE. Med. Imaging. 7627
    • Krupinski, E. A., Berbaum, K. S., Does reader visual fatigue impact interpretation accuracy? Proc. SPIE. Med. Imaging. 7627, 76270M-1-6, 2010.
    • (2010) 76270M-1-6
    • Krupinski, E.A.1    Berbaum, K.S.2
  • 9
    • 34247171748 scopus 로고    scopus 로고
    • Computer-aided diagnosis in medical imaging : Historical review, current status and future potential
    • Doi, K., Computer-aided diagnosis in medical imaging: Historical review, current status and future potential. Comput. Med. Imaging Graph. 31(4):198–211, 2007. doi:10.1016/j.compmedimag.2007.02.002.
    • (2007) Comput. Med. Imaging Graph. , vol.31 , Issue.4 , pp. 198-211
    • Doi, K.1
  • 10
    • 0029992390 scopus 로고    scopus 로고
    • Effect of a computer-aided diagnosis scheme on radiologists’ performance in detection of lung nodules on radiographs
    • Kobayashi, T., Xu, X. W., MacMahon, H., Metz, C. E., and Doi, K., Effect of a computer-aided diagnosis scheme on radiologists’ performance in detection of lung nodules on radiographs. Radiology 199(3):843–848, 1996.
    • (1996) Radiology , vol.199 , Issue.3 , pp. 843-848
    • Kobayashi, T.1    Xu, X.W.2    MacMahon, H.3    Metz, C.E.4    Doi, K.5
  • 11
    • 84880150593 scopus 로고    scopus 로고
    • The role of pattern recognition in computer-aided diagnosis and computer-aided detection in medical imaging: A clinical validation
    • Nagaraj, S., Rao, G. N., and Koteswararao, K., The role of pattern recognition in computer-aided diagnosis and computer-aided detection in medical imaging: A clinical validation. Int. J. Comput. Appl. 8(5):18–22, 2010.
    • (2010) Int. J. Comput. Appl. , vol.8 , Issue.5 , pp. 18-22
    • Nagaraj, S.1    Rao, G.N.2    Koteswararao, K.3
  • 12
    • 67649625670 scopus 로고    scopus 로고
    • Automatic lung segmentation from thoracic computed tomography scans using a hybrid approach with error detection
    • van Rikxoort, E. M., de Hoop, B., Viergever, M. A., Prokop, M., and van Ginneken, B., Automatic lung segmentation from thoracic computed tomography scans using a hybrid approach with error detection. Med. Phys. 36(7):2934–2947, 2009. doi:10.1118/1.3147146.
    • (2009) Med. Phys. , vol.36 , Issue.7 , pp. 2934-2947
    • van Rikxoort, E.M.1    de Hoop, B.2    Viergever, M.A.3    Prokop, M.4    van Ginneken, B.5
  • 13
    • 84883170976 scopus 로고    scopus 로고
    • Automated segmentation of pulmonary structures in thoracic computed tomography scans : A review
    • van Rikxoort, E. M., and van Ginneken, B., Automated segmentation of pulmonary structures in thoracic computed tomography scans: A review. Phys. Med. Biol. 58(17):R187, 2013. doi:10.1088/0031-9155/58/17/R187.
    • (2013) Phys. Med. Biol. , vol.58 , Issue.17 , pp. R187
    • van Rikxoort, E.M.1    van Ginneken, B.2
  • 14
    • 23844550632 scopus 로고    scopus 로고
    • Toward automated segmentation of the pathological lung in CT
    • Sluimer, I., Prokop, M., and van Ginneken, B., Toward automated segmentation of the pathological lung in CT. IEEE Trans. Med. Imaging 24(8):1025–1038, 2005. doi:10.1109/TMI.2005.851757.
    • (2005) IEEE Trans. Med. Imaging , vol.24 , Issue.8 , pp. 1025-1038
    • Sluimer, I.1    Prokop, M.2    van Ginneken, B.3
  • 16
    • 84860005366 scopus 로고    scopus 로고
    • Interactive segmentation and tracking in optical microscopic images
    • Nandy, K., Interactive segmentation and tracking in optical microscopic images. Cytom. Part A 81(5):357–359, 2012.
    • (2012) Cytom. Part A , vol.81 , Issue.5 , pp. 357-359
    • Nandy, K.1
  • 17
    • 49349108623 scopus 로고
    • A threshold selection method from gray-level histograms
    • Otsu, N., A threshold selection method from gray-level histograms. Automatica 11:23–27, 1975.
    • (1975) Automatica , vol.11 , pp. 23-27
    • Otsu, N.1
  • 19
    • 84867297688 scopus 로고    scopus 로고
    • A computer aided diagnosis system for thyroid disease using extreme learning machine
    • Li, L.-N., Ouyang, J.-H., Chen, H.-L., and Liu, D.-Y., A computer aided diagnosis system for thyroid disease using extreme learning machine. J. Med. Syst. 36(5):3327–3337, 2012. doi:10.1007/s10916-012-9825-3.
    • (2012) J. Med. Syst. , vol.36 , Issue.5 , pp. 3327-3337
    • Li, L.-N.1    Ouyang, J.-H.2    Chen, H.-L.3    Liu, D.-Y.4
  • 20
    • 84904227975 scopus 로고    scopus 로고
    • Developing and using expert systems and neural networks in medicine: A review on benefits and challenges
    • Sheikhtaheri, A., Sadoughi, F., and Hashemi, D. Z., Developing and using expert systems and neural networks in medicine: A review on benefits and challenges. J. Med. Syst. 38(9):1–6, 2014. doi:10.1007/s10916-014-0110-5.
    • (2014) J. Med. Syst. , vol.38 , Issue.9 , pp. 1-6
    • Sheikhtaheri, A.1    Sadoughi, F.2    Hashemi, D.Z.3
  • 21
    • 84913582161 scopus 로고    scopus 로고
    • Three-Dimensional SVM with Latent Variable: Application for detection of lung lesions in CT images
    • Wang, Q., Zhu, W., and Wang, B., Three-Dimensional SVM with Latent Variable: Application for detection of lung lesions in CT images. J. Med. Syst. 39(1):171, 2015. doi:10.1007/s10916-014-0171-5.
    • (2015) J. Med. Syst. , vol.39 , Issue.1 , pp. 171
    • Wang, Q.1    Zhu, W.2    Wang, B.3
  • 22
    • 0035354205 scopus 로고    scopus 로고
    • Automatic lung segmentation for accurate quantitation of volumetric X-ray CT images
    • Hu, S., Hoffman, E. A., and Reinhardt, J. M., Automatic lung segmentation for accurate quantitation of volumetric X-ray CT images. IEEE Trans. Med. Imaging 20(6):490–498, 2001. doi:10.1109/42.929615.
    • (2001) IEEE Trans. Med. Imaging , vol.20 , Issue.6 , pp. 490-498
    • Hu, S.1    Hoffman, E.A.2    Reinhardt, J.M.3
  • 25
    • 77956056953 scopus 로고    scopus 로고
    • A segmentation method of lung cavities using region aided geometric snakes
    • Osareh, A., and Shadgar, B., A segmentation method of lung cavities using region aided geometric snakes. J. Med. Syst. 34(4):419–433, 2010.
    • (2010) J. Med. Syst. , vol.34 , Issue.4 , pp. 419-433
    • Osareh, A.1    Shadgar, B.2
  • 26
    • 56749159136 scopus 로고    scopus 로고
    • Texture classification-based segmentation of lung affected by interstitial pneumonia in high-resolution CT
    • Korfiatis, P., Kalogeropoulou, C., Karahaliou, A., Kazantzi, A., Skiadopoulos, S., and Costaridou, L., Texture classification-based segmentation of lung affected by interstitial pneumonia in high-resolution CT. Med. Phys. 35(12):5290–5302, 2008.
    • (2008) Med. Phys. , vol.35 , Issue.12 , pp. 5290-5302
    • Korfiatis, P.1    Kalogeropoulou, C.2    Karahaliou, A.3    Kazantzi, A.4    Skiadopoulos, S.5    Costaridou, L.6
  • 28
    • 57449115730 scopus 로고    scopus 로고
    • Automatic segmentation and recognition of lungs and lesion from CT scans of thorax
    • Kakar, M., and Olsen, D. R., Automatic segmentation and recognition of lungs and lesion from CT scans of thorax. Comput. Med. Imaging Graph. 33(1):72–82, 2009. doi:10.1016/j.compmedimag.2008.10.009.
    • (2009) Comput. Med. Imaging Graph. , vol.33 , Issue.1 , pp. 72-82
    • Kakar, M.1    Olsen, D.R.2
  • 29
    • 33748621736 scopus 로고    scopus 로고
    • Automatic segmentation and recognition of anatomical lung structures from high-resolution chest CT images
    • Zhou, X., Hayashi, T., Hara, T., Fujita, H., Yokoyama, R., Kiryu, T., and Hoshi, H., Automatic segmentation and recognition of anatomical lung structures from high-resolution chest CT images. Comput. Med. Imaging Graph. 30(5):299–313, 2006. doi:10.1016/j.compmedimag.2006.06.002.
    • (2006) Comput. Med. Imaging Graph. , vol.30 , Issue.5 , pp. 299-313
    • Zhou, X.1    Hayashi, T.2    Hara, T.3    Fujita, H.4    Yokoyama, R.5    Kiryu, T.6    Hoshi, H.7
  • 30
    • 70349664188 scopus 로고    scopus 로고
    • Automated segmentation of lungs with severe interstitial lung disease in CT
    • Wang, J., Li, F., and Li, Q., Automated segmentation of lungs with severe interstitial lung disease in CT. Med. Phys. 36(10):4592–9, 2009. doi:10.1118/1.3222872.
    • (2009) Med. Phys. , vol.36 , Issue.10 , pp. 4592-4599
    • Wang, J.1    Li, F.2    Li, Q.3
  • 31
    • 77951182414 scopus 로고    scopus 로고
    • Automatic lung segmentation in HRCT images with diffuse parenchymal lung disease using graph-cut. 24th Inter Conf In Image and Vision Computing New Zealand, 2009
    • Massoptier, L., Misra, A., Sowmya, A., Automatic lung segmentation in HRCT images with diffuse parenchymal lung disease using graph-cut. 24th Inter Conf In Image and Vision Computing New Zealand, 2009. IVCNZ’09. 266–270, 2009.
    • (2009) IVCNZ’09 , pp. 266-270
    • Massoptier, L.1    Misra, A.2    Sowmya, A.3
  • 32
    • 84877800049 scopus 로고    scopus 로고
    • Segmentation of lungs in HRCT scan images using particle swarm optimization
    • Abbas, Q., Khan, M. T. A., Farooq, A., and Celebi, M. E., Segmentation of lungs in HRCT scan images using particle swarm optimization. Int. J. Innov. Comput. Inf. Control 9(5):2155–2165, 2013.
    • (2013) Int. J. Innov. Comput. Inf. Control , vol.9 , Issue.5 , pp. 2155-2165
    • Abbas, Q.1    Khan, M.T.A.2    Farooq, A.3    Celebi, M.E.4
  • 33
    • 4344598245 scopus 로고    scopus 로고
    • An experimental comparison of min-cut/max-flow algorithms for energy minimization in vision
    • Boykov, Y., and Kolmogorov, V., An experimental comparison of min-cut/max-flow algorithms for energy minimization in vision. IEEE Trans. Pattern Anal. Mach. Intell. 26(9):1124–1137, 2004. doi:10.1109/TPAMI.2004.60.
    • (2004) IEEE Trans. Pattern Anal. Mach. Intell. , vol.26 , Issue.9 , pp. 1124-1137
    • Boykov, Y.1    Kolmogorov, V.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.