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Volumn 34, Issue 4, 2010, Pages 419-433

A segmentation method of lung cavities using region aided geometric snakes

Author keywords

Image segmentation; Lung cavities; Magnetic resonance images; Radiotherapy planning; Snakes

Indexed keywords

ARTICLE; COMPUTER ASSISTED TOMOGRAPHY; DATA BASE; GEOMETRY; HUMAN; IMAGE DISPLAY; LABORATORY AUTOMATION; LUNG CAVITY; MATHEMATICAL MODEL; NUCLEAR MAGNETIC RESONANCE IMAGING; ALGORITHM; ANATOMY AND HISTOLOGY; COMPUTER ASSISTED RADIOTHERAPY; COMPUTER SIMULATION; IMAGE PROCESSING; LUNG; PROCEDURES; SIGNAL PROCESSING;

EID: 77956056953     PISSN: 01485598     EISSN: None     Source Type: Journal    
DOI: 10.1007/s10916-009-9255-z     Document Type: Article
Times cited : (20)

References (33)
  • 1
    • 84921623038 scopus 로고    scopus 로고
    • Radiotherapy for early breast cancer
    • Early Breast Cancer Trialists' Collaborative Group
    • Early Breast Cancer Trialists' Collaborative Group., Radiotherapy for early breast cancer. Cochrane Database of Systematic Reviews 2002, Issue 2.
    • (2002) Cochrane Database of Systematic Reviews , Issue.2
  • 2
    • 0035576808 scopus 로고    scopus 로고
    • A new noninvasive approach in breast cancer therapy using magnetic resonance imaging-guided focused ultrasound surgery
    • P. Huber J. Jenne R. Rastert I. Simiantonakis 2001 A new noninvasive approach in breast cancer therapy using magnetic resonance imaging-guided focused ultrasound surgery Cancer Res 61 8441 8447
    • (2001) Cancer Res , vol.61 , pp. 8441-8447
    • Huber, P.1    Jenne, J.2    Rastert, R.3    Simiantonakis, I.4
  • 3
    • 0034307085 scopus 로고    scopus 로고
    • The delivery of intensity modulated radiotherapy to the breast using multiple static fields
    • 10.1016/S0167-8140(00)00263-2 doi:10.1016/S0167-8140(00)00263-2.
    • P. Evans E. Donovan M. Partridge 2000 The delivery of intensity modulated radiotherapy to the breast using multiple static fields Radiother. Oncol 57 79 89 10.1016/S0167-8140(00)00263-2 doi:10.1016/S0167-8140(00)00263-2.
    • (2000) Radiother. Oncol , vol.57 , pp. 79-89
    • Evans, P.1    Donovan, E.2    Partridge, M.3
  • 4
    • 0036219064 scopus 로고    scopus 로고
    • Intensity modulated versus non-intensity modulated radiotherapy in the treatment of left breast and upper internal mammary lympth node chauin: A comparative planning study
    • 10.1016/S0167-8140(01)00472-8 doi:10.1016/S0167-8140(01)00472-8
    • B. Cho C. Hurkmans E. Damen L. Zijp 2002 Intensity modulated versus non-intensity modulated radiotherapy in the treatment of left breast and upper internal mammary lympth node chauin: a comparative planning study Radiother. Oncol 62 127 136 10.1016/S0167-8140(01)00472-8 doi:10.1016/S0167-8140(01)00472-8
    • (2002) Radiother. Oncol , vol.62 , pp. 127-136
    • Cho, B.1    Hurkmans, C.2    Damen, E.3    Zijp, L.4
  • 5
    • 85026339536 scopus 로고    scopus 로고
    • HDR brachytherapy combined with 3D conformal versus IMRT in left-sided breast cancer patients including internal mammary chain: Comparative analysis of dosimetric and technical parameters
    • 10.1120/jacmp.2025.25344 doi:10.1120/jacmp.2025.25344
    • R. Kinhikar S. Deshpande U. Mahantshetty R. Sarin 2005 HDR brachytherapy combined with 3D conformal versus IMRT in left-sided breast cancer patients including internal mammary chain: comparative analysis of dosimetric and technical parameters J. Appl. Clin. Med. Phys 6 1 12 10.1120/jacmp.2025.25344 doi:10.1120/jacmp.2025.25344
    • (2005) J. Appl. Clin. Med. Phys , vol.6 , pp. 1-12
    • Kinhikar, R.1    Deshpande, S.2    Mahantshetty, U.3    Sarin, R.4
  • 6
    • 0035354205 scopus 로고    scopus 로고
    • Automatic lung segmentation for accurate quantitation of volumetric X-ray CT images
    • 10.1109/42.929615 doi:10.1109/42.929615
    • S. Hu E. Hoffman J. Reinhardt 2001 Automatic lung segmentation for accurate quantitation of volumetric X-ray CT images IEEE Trans. Med. Imaging 20 490 498 10.1109/42.929615 doi:10.1109/42.929615
    • (2001) IEEE Trans. Med. Imaging , vol.20 , pp. 490-498
    • Hu, S.1    Hoffman, E.2    Reinhardt, J.3
  • 7
    • 0344009664 scopus 로고    scopus 로고
    • Segmentation of magnetic resonance images using a combination of neural networks and active contour models
    • 10.1016/S1350-4533(03)00137-1 doi:10.1016/S1350-4533(03)00137-1
    • I. Middleton R. Damper 2004 Segmentation of magnetic resonance images using a combination of neural networks and active contour models Med. Eng. Phys 26 71 86 10.1016/S1350-4533(03)00137-1 doi:10.1016/S1350-4533(03)00137-1
    • (2004) Med. Eng. Phys , vol.26 , pp. 71-86
    • Middleton, I.1    Damper, R.2
  • 8
    • 60849107512 scopus 로고    scopus 로고
    • A segmentation method of lung areas by using snakes and automatic detection of abnormal shadow on the areas. International Journal of Innovative Computing
    • Y. Itai H. Kim S. Ishikawa 2007 A segmentation method of lung areas by using snakes and automatic detection of abnormal shadow on the areas. International Journal of Innovative Computing Inf. Contr 3 277 284
    • (2007) Inf. Contr , vol.3 , pp. 277-284
    • Itai, Y.1    Kim, H.2    Ishikawa, S.3
  • 10
    • 0031283426 scopus 로고    scopus 로고
    • Method for segmenting chest CT image data using an anatomical model: Preliminary results
    • 10.1109/42.650879 doi:10.1109/42.650879
    • M. Brown M. McNitt-Gray N. Mankovich 1997 Method for segmenting chest CT image data using an anatomical model: preliminary results IEEE Trans. Med. Imaging 16 828 839 10.1109/42.650879 doi:10.1109/42.650879
    • (1997) IEEE Trans. Med. Imaging , vol.16 , pp. 828-839
    • Brown, M.1    McNitt-Gray, M.2    Mankovich, N.3
  • 11
    • 0028903345 scopus 로고
    • MRI segmentation: Methods and applications
    • 10.1016/0730-725X(94)00124-L doi:10.1016/0730-725X(94)00124-L
    • L. Clarke R. Velthuizen M. Camacho J. Heine 1995 MRI segmentation: methods and applications Magn. Reson. Imaging 13 343 368 10.1016/0730-725X(94) 00124-L doi:10.1016/0730-725X(94)00124-L
    • (1995) Magn. Reson. Imaging , vol.13 , pp. 343-368
    • Clarke, L.1    Velthuizen, R.2    Camacho, M.3    Heine, J.4
  • 12
    • 0037722707 scopus 로고    scopus 로고
    • Merging parametric active contours within homogeneous image regions for MRI-Based lung segmentation
    • 10.1109/TMI.2002.808354 doi:10.1109/TMI.2002.808354
    • N. Ray S. Acton T. Altes E. Lange J. Brookeman 2003 Merging parametric active contours within homogeneous image regions for MRI-Based lung segmentation IEEE Trans. Med. Imaging 22 189 199 10.1109/TMI.2002.808354 doi:10.1109/TMI.2002.808354
    • (2003) IEEE Trans. Med. Imaging , vol.22 , pp. 189-199
    • Ray, N.1    Acton, S.2    Altes, T.3    Lange, E.4    Brookeman, J.5
  • 13
    • 34249767150 scopus 로고
    • A geometric model for active contours
    • 0804.68159 10.1007/BF01385685 1240700 doi:10.1007/BF01385685
    • V. Caselles F. Catte T. Coll F. Dibos 1993 A geometric model for active contours Numerische Math 66 1 31 0804.68159 10.1007/BF01385685 1240700 doi:10.1007/BF01385685
    • (1993) Numerische Math , vol.66 , pp. 1-31
    • Caselles, V.1    Catte, F.2    Coll, T.3    Dibos, F.4
  • 14
    • 34250090755 scopus 로고
    • Snakes: Active contour models
    • 10.1007/BF00133570 doi:10.1007/BF00133570
    • M. Kass A. Witkin D. Terzopoulos 1988 Snakes: Active contour models Int. J. Comput. Vis 1 321 331 10.1007/BF00133570 doi:10.1007/BF00133570
    • (1988) Int. J. Comput. Vis , vol.1 , pp. 321-331
    • Kass, M.1    Witkin, A.2    Terzopoulos, D.3
  • 15
    • 2442474070 scopus 로고    scopus 로고
    • RAGS: Region-aided geometric snake
    • 10.1109/TIP.2004.826124 2069294 doi:10.1109/TIP.2004.826124
    • X. Xie M. Mirmehdi 2004 RAGS: Region-aided geometric snake IEEE Trans. Image Process 13 640 652 10.1109/TIP.2004.826124 2069294 doi:10.1109/TIP.2004. 826124
    • (2004) IEEE Trans. Image Process , vol.13 , pp. 640-652
    • Xie, X.1    Mirmehdi, M.2
  • 16
    • 0036565814 scopus 로고    scopus 로고
    • Mean shift: A robust approach toward feature space analysis
    • 10.1109/34.1000236 doi:10.1109/34.1000236
    • D. Comaniciu P. Meer 2002 Mean shift: A robust approach toward feature space analysis IEEE Trans. Pattern Anal. Mach. Intell 24 603 619 10.1109/34.1000236 doi:10.1109/34.1000236
    • (2002) IEEE Trans. Pattern Anal. Mach. Intell , vol.24 , pp. 603-619
    • Comaniciu, D.1    Meer, P.2
  • 18
    • 84948178648 scopus 로고
    • Evolutionary fronts for topology independent shape modeling and recovery
    • Stockholm, Sweden
    • Malladi, R., Sethian, J., and Vemuri, B., Evolutionary fronts for topology independent shape modeling and recovery, in European Conference on Computer Vision (pp. 3-13). Stockholm, Sweden, 1994
    • (1994) European Conference on Computer Vision , pp. 3-13
    • Malladi, R.1    Sethian, J.2    Vemuri, B.3
  • 19
    • 0031071476 scopus 로고    scopus 로고
    • Geodesic active contour
    • 0894.68131 10.1023/A:1007979827043 doi:10.1023/A:1007979827043
    • V. Caselles R. Kimmel G. Sapiro 1997 Geodesic active contour Int. J. Comput. Vis 22 61 79 0894.68131 10.1023/A:1007979827043 doi:10.1023/A: 1007979827043
    • (1997) Int. J. Comput. Vis , vol.22 , pp. 61-79
    • Caselles, V.1    Kimmel, R.2    Sapiro, G.3
  • 21
    • 0031275498 scopus 로고    scopus 로고
    • Color snakes. Comput
    • 10.1006/cviu.1997.0562 doi:10.1006/cviu.1997.0562
    • G. Sapiro 1997 Color snakes. Comput Vis. Image Underst 68 247 253 10.1006/cviu.1997.0562 doi:10.1006/cviu.1997.0562
    • (1997) Vis. Image Underst , vol.68 , pp. 247-253
    • Sapiro, G.1
  • 22
    • 0032022522 scopus 로고    scopus 로고
    • Area and length minimizing flows for shape segmentation
    • 10.1109/83.661193 doi:10.1109/83.661193
    • K. Siddiqi Y. Lauziere A. Tannenbaum S. Zucker 1998 Area and length minimizing flows for shape segmentation IEEE Trans. Image Process 7 433 443 10.1109/83.661193 doi:10.1109/83.661193
    • (1998) IEEE Trans. Image Process , vol.7 , pp. 433-443
    • Siddiqi, K.1    Lauziere, Y.2    Tannenbaum, A.3    Zucker, S.4
  • 23
    • 0032291262 scopus 로고    scopus 로고
    • Generalized gradient vector flow external forces for active contours
    • 0908.68202 10.1016/S0165-1684(98)00140-6 doi:10.1016/S0165-1684(98)00140- 6
    • C. Xu J. Prince 1998 Generalized gradient vector flow external forces for active contours Signal Processing 71 131 139 0908.68202 10.1016/S0165-1684(98) 00140-6 doi:10.1016/S0165-1684(98)00140-6
    • (1998) Signal Processing , vol.71 , pp. 131-139
    • Xu, C.1    Prince, J.2
  • 24
    • 0035423154 scopus 로고    scopus 로고
    • Unsupervised segmentation of color-texture regions in images
    • 10.1109/34.946985 doi:10.1109/34.946985
    • Y. Deng B. Manjunath 2001 Unsupervised segmentation of color-texture regions in images IEEE Trans. Pattern Anal. Mach. Intell 23 800 810 10.1109/34.946985 doi:10.1109/34.946985
    • (2001) IEEE Trans. Pattern Anal. Mach. Intell , vol.23 , pp. 800-810
    • Deng, Y.1    Manjunath, B.2
  • 25
    • 0033181293 scopus 로고    scopus 로고
    • Adaptive fuzzy segmentation of magnetic resonance images
    • 10.1109/42.802752 doi:10.1109/42.802752
    • D. Pham J. Prince 1999 Adaptive fuzzy segmentation of magnetic resonance images IEEE Trans. Med. Imaging 18 737 752 10.1109/42.802752 doi:10.1109/42.802752
    • (1999) IEEE Trans. Med. Imaging , vol.18 , pp. 737-752
    • Pham, D.1    Prince, J.2
  • 26
    • 0032028944 scopus 로고    scopus 로고
    • Snakes, shapes, and gradient vector flow
    • 0973.94003 10.1109/83.661186 1669528 doi:10.1109/83.661186
    • C. Xu J. Prince 1998 Snakes, shapes, and gradient vector flow IEEE Trans. Image Process 7 359 369 0973.94003 10.1109/83.661186 1669528 doi:10.1109/83.661186
    • (1998) IEEE Trans. Image Process , vol.7 , pp. 359-369
    • Xu, C.1    Prince, J.2
  • 28
    • 0001143455 scopus 로고    scopus 로고
    • An automated technique for statistical characterization of brain tissues in magnetic resonance imaging
    • 10.1142/S021800149700055X doi:10.1142/S021800149700055X
    • D. Pham J. Prince A. Dagher C. Xu 1997 An automated technique for statistical characterization of brain tissues in magnetic resonance imaging Int. J. Pattern Recognit. Artif. Intell 11 1189 1211 10.1142/S021800149700055X doi:10.1142/S021800149700055X
    • (1997) Int. J. Pattern Recognit. Artif. Intell , vol.11 , pp. 1189-1211
    • Pham, D.1    Prince, J.2    Dagher, A.3    Xu, C.4
  • 29
    • 0026925678 scopus 로고
    • A comparison of neural networks and fuzzy clustering techniques in segmenting magnetic resonance images of the brain
    • 10.1109/72.159057 doi:10.1109/72.159057
    • L. Hall A. Bensaid L. Clarke P. Velthuizen M. Silbiger J. Bezdek 1992 A comparison of neural networks and fuzzy clustering techniques in segmenting magnetic resonance images of the brain IEEE Trans. Neural Netw 3 672 682 10.1109/72.159057 doi:10.1109/72.159057
    • (1992) IEEE Trans. Neural Netw , vol.3 , pp. 672-682
    • Hall, L.1    Bensaid, A.2    Clarke, L.3    Velthuizen, P.4    Silbiger, M.5    Bezdek, J.6
  • 30
    • 0018918224 scopus 로고
    • A convergence theorem for the fuzzy ISODATA clustering algorithms
    • 0441.62055 10.1109/TPAMI.1980.4766964
    • J. Bezdek 1980 A convergence theorem for the fuzzy ISODATA clustering algorithms IEEE Trans. Pattern Anal. Mach. Intell 2 1 8 0441.62055 10.1109/TPAMI.1980.4766964
    • (1980) IEEE Trans. Pattern Anal. Mach. Intell , vol.2 , pp. 1-8
    • Bezdek, J.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.