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Volumn 40, Issue 8, 2013, Pages

Contourlet-based active contour model for PET image segmentation

Author keywords

active contour; anisotropic diffusion filter; contourlet; PET; segmentation

Indexed keywords

BREEDER REACTORS; CURVE FITTING; DIAGNOSIS; ERRORS; IMAGE ENHANCEMENT; OPTICAL ANISOTROPY; POLYETHYLENE TEREPHTHALATES; TRACERS; TUMORS;

EID: 84881620008     PISSN: 00942405     EISSN: None     Source Type: Journal    
DOI: 10.1118/1.4816296     Document Type: Article
Times cited : (48)

References (42)
  • 2
    • 70349633882 scopus 로고    scopus 로고
    • 18F-FDG PET/CT for image-guided and intensity-modulated radiotherapy
    • 10.2967/jnumed.108.055780
    • E. C. Ford, J. Herman, E. Yorke, and R. L. Wahl, " 18F-FDG PET/CT for image-guided and intensity-modulated radiotherapy.," J. Nucl. Med. 50, 1655-1665 (2009). 10.2967/jnumed.108.055780
    • (2009) J. Nucl. Med. , vol.50 , pp. 1655-1665
    • Ford, E.C.1    Herman, J.2    Yorke, E.3    Wahl, R.L.4
  • 4
    • 77958456514 scopus 로고    scopus 로고
    • PET-guided delineation of radiation therapy treatment volumes: A survey of image segmentation techniques
    • 10.1007/s00259-010-1423-3
    • H. Zaidi and I. El Naqa, " PET-guided delineation of radiation therapy treatment volumes: A survey of image segmentation techniques.," Eur. J. Nucl. Med. Mol. Imaging 37, 2165-2187 (2010). 10.1007/s00259-010-1423-3
    • (2010) Eur. J. Nucl. Med. Mol. Imaging , vol.37 , pp. 2165-2187
    • Zaidi, H.1    El Naqa, I.2
  • 5
    • 84876180096 scopus 로고    scopus 로고
    • Combining multiple FDG-PET radiotherapy target segmentation methods to reduce the effect of variable performance of individual segmentation methods
    • (9p). 10.1118/1.4793721
    • R. J. McGurk, J. Bowsher, J. A. Lee, and S. K. Das, " Combining multiple FDG-PET radiotherapy target segmentation methods to reduce the effect of variable performance of individual segmentation methods.," Med. Phys. 40, 042501 (9pp.) (2013). 10.1118/1.4793721
    • (2013) Med. Phys. , vol.40 , pp. 042501
    • McGurk, R.J.1    Bowsher, J.2    Lee, J.A.3    Das, S.K.4
  • 6
    • 84862564409 scopus 로고    scopus 로고
    • Comparative methods for PET image segmentation in pharyngolaryngeal squamous cell carcinoma
    • 10.1007/s00259-011-2053-0
    • H. Zaidi, M. Abdoli, C. Fuentes, and I. El Naqa, " Comparative methods for PET image segmentation in pharyngolaryngeal squamous cell carcinoma.," Eur. J. Nucl. Med. Mol. Imaging 39, 881-891 (2012). 10.1007/s00259-011-2053-0
    • (2012) Eur. J. Nucl. Med. Mol. Imaging , vol.39 , pp. 881-891
    • Zaidi, H.1    Abdoli, M.2    Fuentes, C.3    El Naqa, I.4
  • 7
    • 0031457987 scopus 로고    scopus 로고
    • Segmentation of lung lesion volume by adaptive positron emission tomography image thresholding
    • 10.1002/(SICI)1097-0142(19971215)80:12+<2505::AID-CNCR24>3.0.CO;2-F
    • Y. E. Erdi, O. Mawlawi, S. M. Larson, M. Imbriaco, H. Yeung, R. Finn, and J. L. Humm, " Segmentation of lung lesion volume by adaptive positron emission tomography image thresholding.," Cancer 80, 2505-2509 (1997). 10.1002/(SICI)1097-0142(19971215)80:12+<2505::AID-CNCR24>3.0.CO;2-F
    • (1997) Cancer , vol.80 , pp. 2505-2509
    • Erdi, Y.E.1    Mawlawi, O.2    Larson, S.M.3    Imbriaco, M.4    Yeung, H.5    Finn, R.6    Humm, J.L.7
  • 8
    • 34447256267 scopus 로고    scopus 로고
    • 18F-FDG PET definition of gross tumor volume for radiotherapy of non-small cell lung cancer: Is a single standardized uptake value threshold approach appropriate
    • K. J. Biehl, F. M. Kong, F. Dehdashti, J. Y. Jin, S. Mutic, I. El Naqa, B. A. Siegel, and J. D. Bradley, " 18F-FDG PET definition of gross tumor volume for radiotherapy of non-small cell lung cancer: Is a single standardized uptake value threshold approach appropriate," J. Nucl. Med. 47, 1808-1812 (2006).
    • (2006) J. Nucl. Med. , vol.47 , pp. 1808-1812
    • Biehl, K.J.1    Kong, F.M.2    Dehdashti, F.3    Jin, J.Y.4    Mutic, S.5    El Naqa, I.6    Siegel, B.A.7    Bradley, J.D.8
  • 10
    • 25444452894 scopus 로고    scopus 로고
    • Comparison of different methods for delineation of 18F-FDG PET-positive tissue for target volume definition in radiotherapy of patients with non-Small cell lung cancer
    • U. Nestle, S. Kremp, A. Schaefer-Schuler, C. Sebastian-Welsch, D. Hellwig, C. Rube, and C. M. Kirsch, " Comparison of different methods for delineation of 18F-FDG PET-positive tissue for target volume definition in radiotherapy of patients with non-Small cell lung cancer.," J. Nucl. Med. 46, 1342-1348 (2005).
    • (2005) J. Nucl. Med. , vol.46 , pp. 1342-1348
    • Nestle, U.1    Kremp, S.2    Schaefer-Schuler, A.3    Sebastian-Welsch, C.4    Hellwig, D.5    Rube, C.6    Kirsch, C.M.7
  • 11
    • 53649097668 scopus 로고    scopus 로고
    • A contrast-oriented algorithm for FDG-PET-based delineation of tumour volumes for the radiotherapy of lung cancer: Derivation from phantom measurements and validation in patient data
    • 10.1007/s00259-008-0875-1
    • A. Schaefer, S. Kremp, D. Hellwig, C. Rübe, C.-M. Kirsch, and U. Nestle, " A contrast-oriented algorithm for FDG-PET-based delineation of tumour volumes for the radiotherapy of lung cancer: Derivation from phantom measurements and validation in patient data.," Eur. J. Nucl. Med. Mol. Imaging 35, 1989-1999 (2008). 10.1007/s00259-008-0875-1
    • (2008) Eur. J. Nucl. Med. Mol. Imaging , vol.35 , pp. 1989-1999
    • Schaefer, A.1    Kremp, S.2    Hellwig, D.3    Rübe, C.4    Kirsch, C.-M.5    Nestle, U.6
  • 12
    • 44749084234 scopus 로고
    • Fronts propagating with curvature-dependent speed: Algorithms based on Hamilton-Jacobi formulations
    • 10.1016/0021-9991(88)90002-2
    • S. Osher and J. A. Sethian, " Fronts propagating with curvature-dependent speed: Algorithms based on Hamilton-Jacobi formulations.," J. Comput. Phys. 79, 12-49 (1988). 10.1016/0021-9991(88) 90002-2
    • (1988) J. Comput. Phys. , vol.79 , pp. 12-49
    • Osher, S.1    Sethian, J.A.2
  • 13
    • 0026925678 scopus 로고
    • A comparison of neural network and fuzzy clustering techniques in segmenting magnetic resonance images of the brain
    • 10.1109/72.159057
    • L. O. Hall, A. M. Bensaid, L. P. Clarke, R. P. Velthuizen, M. S. Silbiger, and J. C. Bezdek, " A comparison of neural network and fuzzy clustering techniques in segmenting magnetic resonance images of the brain.," IEEE Trans. Neural Netw. 3, 672-682 (1992). 10.1109/72.159057
    • (1992) IEEE Trans. Neural Netw. , vol.3 , pp. 672-682
    • Hall, L.O.1    Bensaid, A.M.2    Clarke, L.P.3    Velthuizen, R.P.4    Silbiger, M.S.5    Bezdek, J.C.6
  • 14
    • 0032843554 scopus 로고    scopus 로고
    • An adaptive fuzzy C-means algorithm for image segmentation in the presence of intensity inhomogeneities
    • 10.1016/S0167-8655(98)00121-4
    • D. L. Pham and J. L. Prince, " An adaptive fuzzy C-means algorithm for image segmentation in the presence of intensity inhomogeneities.," Pattern Recog. Lett. 20, 57-68 (1999). 10.1016/S0167-8655(98)00121-4
    • (1999) Pattern Recog. Lett. , vol.20 , pp. 57-68
    • Pham, D.L.1    Prince, J.L.2
  • 15
    • 77749240320 scopus 로고    scopus 로고
    • A novel fuzzy C-means algorithm for unsupervised heterogeneous tumor quantification in PET
    • 10.1118/1.3301610
    • S. Belhassen and H. Zaidi, " A novel fuzzy C-means algorithm for unsupervised heterogeneous tumor quantification in PET.," Med. Phys. 37, 1309-1324 (2010). 10.1118/1.3301610
    • (2010) Med. Phys. , vol.37 , pp. 1309-1324
    • Belhassen, S.1    Zaidi, H.2
  • 16
    • 0033201366 scopus 로고    scopus 로고
    • Automated model-based tissue classification of MR images of the brain
    • 10.1109/42.811270
    • K. Van Leemput, F. Maes, D. Vandermeulen, and P. Suetens, " Automated model-based tissue classification of MR images of the brain.," IEEE Trans. Med. Imaging 18, 897-908 (1999). 10.1109/42.811270
    • (1999) IEEE Trans. Med. Imaging , vol.18 , pp. 897-908
    • Van Leemput, K.1    Maes, F.2    Vandermeulen, D.3    Suetens, P.4
  • 17
    • 20444501009 scopus 로고    scopus 로고
    • Unified segmentation
    • 10.1016/j.neuroimage.2005.02.018
    • J. Ashburner and K. J. Friston, " Unified segmentation.," Neuroimage 26, 839-851 (2005). 10.1016/j.neuroimage.2005.02.018
    • (2005) Neuroimage , vol.26 , pp. 839-851
    • Ashburner, J.1    Friston, K.J.2
  • 18
    • 34250090755 scopus 로고
    • Snakes: Active contour models
    • 10.1007/BF00133570
    • M. Kass, A. Witkin, and D. Terzopoulos, " Snakes: Active contour models.," Int. J. Comput. Vis. 1, 321-331 (1988). 10.1007/BF00133570
    • (1988) Int. J. Comput. Vis. , vol.1 , pp. 321-331
    • Kass, M.1    Witkin, A.2    Terzopoulos, D.3
  • 19
    • 34249767150 scopus 로고
    • A geometric model for active contours in image processing
    • 10.1007/BF01385685
    • V. Caselles, F. Catte, T. Coll, and F. Dibos, " A geometric model for active contours in image processing.," Numer. Math. 66, 1-31 (1993). 10.1007/BF01385685
    • (1993) Numer. Math. , vol.66 , pp. 1-31
    • Caselles, V.1    Catte, F.2    Coll, T.3    Dibos, F.4
  • 20
    • 84990602490 scopus 로고
    • Optimal approximations by piecewise smooth functions and associated variational problems
    • 10.1002/cpa.3160420503
    • D. Mumford and J. Shah, " Optimal approximations by piecewise smooth functions and associated variational problems.," Commun. Pure Appl. Math. 42, 577-685 (1989). 10.1002/cpa.3160420503
    • (1989) Commun. Pure Appl. Math. , vol.42 , pp. 577-685
    • Mumford, D.1    Shah, J.2
  • 21
    • 0035248865 scopus 로고    scopus 로고
    • Active contours without edges
    • 10.1109/83.902291
    • T. F. Chan and L. A. Vese, " Active contours without edges.," IEEE Trans. Image Process. 10, 266-277 (2001). 10.1109/83.902291
    • (2001) IEEE Trans. Image Process. , vol.10 , pp. 266-277
    • Chan, T.F.1    Vese, L.A.2
  • 22
    • 84866452627 scopus 로고    scopus 로고
    • Automated tumour boundary delineation on (18)F-FDG PET images using active contour coupled with shifted-optimal thresholding method
    • 10.1088/0031-9155/57/19/5995
    • K. Khamwan, A. Krisanachinda, and C. Pluempitiwiriyawej, " Automated tumour boundary delineation on (18)F-FDG PET images using active contour coupled with shifted-optimal thresholding method.," Phys. Med. Biol. 57, 5995-6005 (2012). 10.1088/0031-9155/57/19/5995
    • (2012) Phys. Med. Biol. , vol.57 , pp. 5995-6005
    • Khamwan, K.1    Krisanachinda, A.2    Pluempitiwiriyawej, C.3
  • 26
    • 0025465145 scopus 로고
    • Scale-space and edge detection using anisotropic diffusion
    • 10.1109/34.56205
    • P. Perona and J. Malik, " Scale-space and edge detection using anisotropic diffusion.," IEEE Trans. Pattern Anal. Mach. Intell. 12, 629-639 (1990). 10.1109/34.56205
    • (1990) IEEE Trans. Pattern Anal. Mach. Intell. , vol.12 , pp. 629-639
    • Perona, P.1    Malik, J.2
  • 27
    • 0022808786 scopus 로고
    • A computational approach to edge detection
    • 10.1109/TPAMI.1986.4767851
    • J. F. Canny, " A computational approach to edge detection.," IEEE Trans. Pattern Anal. Mach. Intell. 8, 679-698 (1986). 10.1109/TPAMI.1986. 4767851
    • (1986) IEEE Trans. Pattern Anal. Mach. Intell. , vol.8 , pp. 679-698
    • Canny, J.F.1
  • 28
    • 28944432472 scopus 로고    scopus 로고
    • The contourlet transform: An efficient directional multiresolution image representation
    • 10.1109/TIP.2005.859376
    • M. N. Do and M. Vetterli, " The contourlet transform: an efficient directional multiresolution image representation.," IEEE Trans. Image Process. 14, 2091-2106 (2005). 10.1109/TIP.2005.859376
    • (2005) IEEE Trans. Image Process. , vol.14 , pp. 2091-2106
    • Do, M.N.1    Vetterli, M.2
  • 31
    • 0020737631 scopus 로고
    • The Laplacian pyramid as a compact image code
    • 10.1109/TCOM.1983.1095851
    • P. J. Burt and E. H. Adelson, " The Laplacian pyramid as a compact image code.," IEEE Trans. Commun. 31, 532-540 (1983). 10.1109/TCOM.1983. 1095851
    • (1983) IEEE Trans. Commun. , vol.31 , pp. 532-540
    • Burt, P.J.1    Adelson, E.H.2
  • 32
    • 0026847407 scopus 로고
    • A filter bank for the directional decomposition of images: Theory and design
    • 10.1109/78.127960
    • R. H. Bamberger and M. J. T. Smith, " A filter bank for the directional decomposition of images: theory and design.," IEEE Trans. Image Process. 40, 882-893 (1992). 10.1109/78.127960
    • (1992) IEEE Trans. Image Process. , vol.40 , pp. 882-893
    • Bamberger, R.H.1    Smith, M.J.T.2
  • 33
    • 0030210970 scopus 로고    scopus 로고
    • A variational level set approach to multiphase motion
    • 10.1006/jcph.1996.0167
    • Z. Hong-Kai, T. Chan, B. Merriman, and S. Osher, " A variational level set approach to multiphase motion.," J. Comput. Phys. 127, 179-195 (1996). 10.1006/jcph.1996.0167
    • (1996) J. Comput. Phys. , vol.127 , pp. 179-195
    • Hong-Kai, Z.1    Chan, T.2    Merriman, B.3    Osher, S.4
  • 34
    • 77956299682 scopus 로고    scopus 로고
    • 4D XCAT phantom for multimodality imaging research
    • 10.1118/1.3480985
    • W. P. Segars, G. Sturgeon, S. Mendonca, J. Grimes, and B. M. Tsui, " 4D XCAT phantom for multimodality imaging research.," Med. Phys. 37, 4902-4915 (2010). 10.1118/1.3480985
    • (2010) Med. Phys. , vol.37 , pp. 4902-4915
    • Segars, W.P.1    Sturgeon, G.2    Mendonca, S.3    Grimes, J.4    Tsui, B.M.5
  • 35
    • 70450174223 scopus 로고    scopus 로고
    • Incorporating patient specific variability in the simulation of realistic whole body 18F-FDG distributions for oncology applications
    • 10.1109/JPROC.2009.2027925
    • A. Le Maitre, W. P. Segars, S. Marache, A. Reilhac, M. Hatt, S. Tomei, C. Lartizien, and D. Visvikis, " Incorporating patient specific variability in the simulation of realistic whole body 18F-FDG distributions for oncology applications.," Proc. IEEE 97, 2026-2038 (2009). 10.1109/JPROC.2009.2027925
    • (2009) Proc. IEEE , vol.97 , pp. 2026-2038
    • Le Maitre, A.1    Segars, W.P.2    Marache, S.3    Reilhac, A.4    Hatt, M.5    Tomei, S.6    Lartizien, C.7    Visvikis, D.8
  • 37
    • 34548163115 scopus 로고    scopus 로고
    • A gradient-based method for segmenting FDG-PET images: Methodology and validation
    • 10.1007/s00259-006-0363-4
    • X. Geets, J. Lee, A. Bol, M. Lonneux, and V. Gregoire, " A gradient-based method for segmenting FDG-PET images: Methodology and validation.," Eur. J. Nucl. Med. Mol. Imaging 34, 1427-1438 (2007). 10.1007/s00259-006-0363-4
    • (2007) Eur. J. Nucl. Med. Mol. Imaging , vol.34 , pp. 1427-1438
    • Geets, X.1    Lee, J.2    Bol, A.3    Lonneux, M.4    Gregoire, V.5
  • 38
    • 78651357430 scopus 로고    scopus 로고
    • Gradient-based delineation of the primary GTV on FDG-PET in non-small cell lung cancer: A comparison with threshold-based approaches, CT and surgical specimens
    • 10.1016/j.radonc.2010.10.006
    • M. Wanet, J. A. Lee, B. Weynand, M. De Bast, A. Poncelet, V. Lacroix, E. Coche, V. Gregoire, and X. Geets, " Gradient-based delineation of the primary GTV on FDG-PET in non-small cell lung cancer: A comparison with threshold-based approaches, CT and surgical specimens.," Radiother. Oncol. 98, 117-125 (2011). 10.1016/j.radonc.2010.10.006
    • (2011) Radiother. Oncol. , vol.98 , pp. 117-125
    • Wanet, M.1    Lee, J.A.2    Weynand, B.3    De Bast, M.4    Poncelet, A.5    Lacroix, V.6    Coche, E.7    Gregoire, V.8    Geets, X.9
  • 41
    • 0023561847 scopus 로고
    • Convergence theory for fuzzy c-means: Counterexamples and repairs
    • 10.1109/TSMC.1987.6499296
    • J. Bezdek, R. Hathaway, M. Sobin, and W. Tucker, " Convergence theory for fuzzy c-means: Counterexamples and repairs.," IEEE Trans. Syst. Man Cybern. 17, 873-877 (1987). 10.1109/TSMC.1987.6499296
    • (1987) IEEE Trans. Syst. Man Cybern. , vol.17 , pp. 873-877
    • Bezdek, J.1    Hathaway, R.2    Sobin, M.3    Tucker, W.4


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