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Volumn 43, Issue 6, 2010, Pages 2028-2042

Probability density difference-based active contour for ultrasound image segmentation

Author keywords

Active contour; Breast ultrasound (bus) imaging; Image segmentation; Level set; Probability difference

Indexed keywords

ACTIVE CONTOUR MODEL; ACTIVE CONTOURS; BACKGROUND KNOWLEDGE; BREAST ULTRASOUND; BREAST ULTRASOUND (BUS) IMAGING; CENTRAL DIFFERENCE; ENERGY FUNCTIONS; LEVEL SET; LEVEL SET APPROACH; LOW CONTRAST; NUMERICAL COMPUTATIONS; PROBABILITY DENSITIES; PROBABILITY DENSITY ESTIMATION; PROBABILITY DIFFERENCE; REINITIALIZATION; SIGNAL/NOISE RATIO; SYNTHETIC IMAGES; ULTRASOUND IMAGE SEGMENTATION; ULTRASOUND IMAGES;

EID: 76749089534     PISSN: 00313203     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.patcog.2010.01.002     Document Type: Article
Times cited : (144)

References (50)
  • 1
    • 33746885878 scopus 로고    scopus 로고
    • Ultrasound image segmentation: a survey
    • Noble J.A., and Boukerroui D. Ultrasound image segmentation: a survey. IEEE Trans. Med. Imag. 25 8 (2006) 987-1010
    • (2006) IEEE Trans. Med. Imag. , vol.25 , Issue.8 , pp. 987-1010
    • Noble, J.A.1    Boukerroui, D.2
  • 2
    • 84965761404 scopus 로고
    • Multiple resolution Bayesian segmentation of ultrasound images
    • Ashton E.A., and Parker K.J. Multiple resolution Bayesian segmentation of ultrasound images. Ultrason. Imag. 17 (1995) 291-304
    • (1995) Ultrason. Imag. , vol.17 , pp. 291-304
    • Ashton, E.A.1    Parker, K.J.2
  • 4
    • 0036007867 scopus 로고    scopus 로고
    • Segmentation of ultrasound B-mode images with intensity inhomogeneity correction
    • Xiao G., Brady M., Noble J.A., and Zhang Y. Segmentation of ultrasound B-mode images with intensity inhomogeneity correction. IEEE Trans. Med. Imag. 21 1 (2002) 48-57
    • (2002) IEEE Trans. Med. Imag. , vol.21 , Issue.1 , pp. 48-57
    • Xiao, G.1    Brady, M.2    Noble, J.A.3    Zhang, Y.4
  • 5
    • 0037290210 scopus 로고    scopus 로고
    • Segmentation of ultrasound images multiresolution 2D and 3D algorithm based on global and local statistics
    • Boukerroui D., Baskurt A., Noble J.A., and Basset O. Segmentation of ultrasound images multiresolution 2D and 3D algorithm based on global and local statistics. Pattern Recognition Lett. 24 (2003) 779-790
    • (2003) Pattern Recognition Lett. , vol.24 , pp. 779-790
    • Boukerroui, D.1    Baskurt, A.2    Noble, J.A.3    Basset, O.4
  • 6
    • 0035544607 scopus 로고    scopus 로고
    • Segmenting high-frequency intracardiac ultrasound images for myocardium into infarcted, ischemic and normal regions
    • Hao X., Bruce C.J., Pislaru C., and Greenleaf J.F. Segmenting high-frequency intracardiac ultrasound images for myocardium into infarcted, ischemic and normal regions. IEEE. Trans. Med. Imag. 20 12 (2001) 1373-1383
    • (2001) IEEE. Trans. Med. Imag. , vol.20 , Issue.12 , pp. 1373-1383
    • Hao, X.1    Bruce, C.J.2    Pislaru, C.3    Greenleaf, J.F.4
  • 7
    • 0038398643 scopus 로고    scopus 로고
    • Combining low-, high-level and empirical domain knowledge for automated segmentation of ultrasonic breast lesions
    • Madabhushi A., and Metaxas D.N. Combining low-, high-level and empirical domain knowledge for automated segmentation of ultrasonic breast lesions. IEEE Trans. Med. Imag. 22 2 (2003) 155-169
    • (2003) IEEE Trans. Med. Imag. , vol.22 , Issue.2 , pp. 155-169
    • Madabhushi, A.1    Metaxas, D.N.2
  • 8
    • 2942541400 scopus 로고    scopus 로고
    • An interacting multiple model probabilistic data association filter for cavity boundary extraction from ultrasound images
    • Abolmaesumi P., and Sirouspour M.R. An interacting multiple model probabilistic data association filter for cavity boundary extraction from ultrasound images. IEEE Trans. Med. Imag. 23 6 (2004) 772-784
    • (2004) IEEE Trans. Med. Imag. , vol.23 , Issue.6 , pp. 772-784
    • Abolmaesumi, P.1    Sirouspour, M.R.2
  • 9
    • 0037290179 scopus 로고    scopus 로고
    • Segmentation of ultrasonic images using support vector machines
    • Kotropoulos C., and Pitas I. Segmentation of ultrasonic images using support vector machines. Pattern Recognition Lett. 24 (2003) 715-727
    • (2003) Pattern Recognition Lett. , vol.24 , pp. 715-727
    • Kotropoulos, C.1    Pitas, I.2
  • 10
    • 33644636043 scopus 로고    scopus 로고
    • Deformable segmentation of 3-D ultrasound prostate images using statistical texture matching method
    • Zhan Y., and Shen D. Deformable segmentation of 3-D ultrasound prostate images using statistical texture matching method. IEEE Trans. Med. Imag. 25 3 (2006) 256-272
    • (2006) IEEE Trans. Med. Imag. , vol.25 , Issue.3 , pp. 256-272
    • Zhan, Y.1    Shen, D.2
  • 11
    • 34547673380 scopus 로고    scopus 로고
    • Iterative sliced inverse regression for segmentation of ultrasound and MR images
    • Wu H.M., and Lu H.H. Iterative sliced inverse regression for segmentation of ultrasound and MR images. Pattern Recognition 40 (2007) 3492-3502
    • (2007) Pattern Recognition , vol.40 , pp. 3492-3502
    • Wu, H.M.1    Lu, H.H.2
  • 12
    • 0034149719 scopus 로고    scopus 로고
    • 2D+T acoustic boundary detection in echocardiography
    • Mulet-Parada M., and Noble J.A. 2D+T acoustic boundary detection in echocardiography. Med. Image Anal. 4 1 (2000) 21-30
    • (2000) Med. Image Anal. , vol.4 , Issue.1 , pp. 21-30
    • Mulet-Parada, M.1    Noble, J.A.2
  • 13
    • 2942557015 scopus 로고    scopus 로고
    • Watershed segmentation for breast tumor in 2-D sonography
    • Huang Y.L., and Chen D.R. Watershed segmentation for breast tumor in 2-D sonography. Ultrasound Med. Biol. 30 5 (2004) 625-632
    • (2004) Ultrasound Med. Biol. , vol.30 , Issue.5 , pp. 625-632
    • Huang, Y.L.1    Chen, D.R.2
  • 14
    • 28844489860 scopus 로고    scopus 로고
    • Cell-competition: a new segmentation algorithm for multiple objects with irregular boundaries in ultrasound images
    • Chen C.M., Chou Y.H., Chen C.S.K., Cheng J.Z., Ou Y.F., Yeh F.C., and Chen K.W. Cell-competition: a new segmentation algorithm for multiple objects with irregular boundaries in ultrasound images. Ultrasound Med. Biol. 31 12 (2005) 1647-1664
    • (2005) Ultrasound Med. Biol. , vol.31 , Issue.12 , pp. 1647-1664
    • Chen, C.M.1    Chou, Y.H.2    Chen, C.S.K.3    Cheng, J.Z.4    Ou, Y.F.5    Yeh, F.C.6    Chen, K.W.7
  • 15
    • 33646399717 scopus 로고    scopus 로고
    • Intravascular ultrasound image segmentation: a three-dimensional fast marching method based on gray level distributions
    • Cardinal M.R., Meunier J., Soulez G., Maurice R., Therasse E., and Cloutier G. Intravascular ultrasound image segmentation: a three-dimensional fast marching method based on gray level distributions. IEEE Trans. Med. Imag. 25 5 (2006) 590-601
    • (2006) IEEE Trans. Med. Imag. , vol.25 , Issue.5 , pp. 590-601
    • Cardinal, M.R.1    Meunier, J.2    Soulez, G.3    Maurice, R.4    Therasse, E.5    Cloutier, G.6
  • 17
    • 0034059644 scopus 로고    scopus 로고
    • An early vision-based snake model for ultrasound image segmentation
    • Chen C.M., Lu H.H.S., and Lin Y.C. An early vision-based snake model for ultrasound image segmentation. Ultrasound Med. Biol. 26 2 (2000) 273-285
    • (2000) Ultrasound Med. Biol. , vol.26 , Issue.2 , pp. 273-285
    • Chen, C.M.1    Lu, H.H.S.2    Lin, Y.C.3
  • 18
    • 0038104383 scopus 로고    scopus 로고
    • 3-D Breast ultrasound segmentation using active contour model
    • Chen D.R., Chang R.F., Wu W.J., Moon W.K., and Wu W.L. 3-D Breast ultrasound segmentation using active contour model. Ultrasound Med. Biol. 29 7 (2003) 1017-1026
    • (2003) Ultrasound Med. Biol. , vol.29 , Issue.7 , pp. 1017-1026
    • Chen, D.R.1    Chang, R.F.2    Wu, W.J.3    Moon, W.K.4    Wu, W.L.5
  • 24
    • 0036870577 scopus 로고    scopus 로고
    • Speckle reducing anisotropic diffusion
    • Yu Y.J., and Acton S.T. Speckle reducing anisotropic diffusion. IEEE Trans. Image Process. 11 11 (2002) 1260-1270
    • (2002) IEEE Trans. Image Process. , vol.11 , Issue.11 , pp. 1260-1270
    • Yu, Y.J.1    Acton, S.T.2
  • 25
    • 0037290218 scopus 로고    scopus 로고
    • Aggressive region growing for speckle reduction in ultrasound images
    • Chen Y., Yin R.M., Flynn R., and Broschat S. Aggressive region growing for speckle reduction in ultrasound images. Pattern Recognition Lett. 24 (2003) 677-691
    • (2003) Pattern Recognition Lett. , vol.24 , pp. 677-691
    • Chen, Y.1    Yin, R.M.2    Flynn, R.3    Broschat, S.4
  • 27
    • 44749084234 scopus 로고
    • Front propagating with curvature dependent speed: algorithms based on Hamilton Jacobi formulation
    • Osher S., and Sethian J.A. Front propagating with curvature dependent speed: algorithms based on Hamilton Jacobi formulation. J. Comput. Phys. 79 (1988) 12-49
    • (1988) J. Comput. Phys. , vol.79 , pp. 12-49
    • Osher, S.1    Sethian, J.A.2
  • 29
    • 0142210308 scopus 로고    scopus 로고
    • Combinative multi-scale level set framework for echocardiographic image segmentation
    • Lin N., Yu W., and Duncan J.S. Combinative multi-scale level set framework for echocardiographic image segmentation. Med. Image Anal. 7 4 (2003) 529-537
    • (2003) Med. Image Anal. , vol.7 , Issue.4 , pp. 529-537
    • Lin, N.1    Yu, W.2    Duncan, J.S.3
  • 30
    • 13844267711 scopus 로고    scopus 로고
    • Automatic ultrasound segmentation and morphology based diagnosis of solid breast tumors
    • Chang R.F., Wu W.J., Moon W.K., and Chen D.R. Automatic ultrasound segmentation and morphology based diagnosis of solid breast tumors. Breast Cancer Res. Treat. 89 2 (2005) 179-185
    • (2005) Breast Cancer Res. Treat. , vol.89 , Issue.2 , pp. 179-185
    • Chang, R.F.1    Wu, W.J.2    Moon, W.K.3    Chen, D.R.4
  • 33
  • 34
    • 52649131914 scopus 로고    scopus 로고
    • Minimization of region-scalable fitting energy for image segmentation
    • Li C., Kao C.Y., Gore J.C., and Ding Z.H. Minimization of region-scalable fitting energy for image segmentation. IEEE Trans. Image Process. 17 10 (2008)
    • (2008) IEEE Trans. Image Process. , vol.17 , Issue.10
    • Li, C.1    Kao, C.Y.2    Gore, J.C.3    Ding, Z.H.4
  • 36
    • 33846221503 scopus 로고    scopus 로고
    • A review of statistical approaches to level set segmentation: integrating colors, texture, motion and shape
    • Cremers D. A review of statistical approaches to level set segmentation: integrating colors, texture, motion and shape. Int. J. Comput. Vision 72 2 (2007) 192-215
    • (2007) Int. J. Comput. Vision , vol.72 , Issue.2 , pp. 192-215
    • Cremers, D.1
  • 41
    • 0035413315 scopus 로고    scopus 로고
    • Novel Bayesian multiscale method for speckle removal in medical ultrasound images
    • Achim A., Bezerianos A., and Tsakalides P. Novel Bayesian multiscale method for speckle removal in medical ultrasound images. IEEE Trans. Med. Imag. 20 8 (2001) 772-783
    • (2001) IEEE Trans. Med. Imag. , vol.20 , Issue.8 , pp. 772-783
    • Achim, A.1    Bezerianos, A.2    Tsakalides, P.3
  • 42
    • 0033709161 scopus 로고    scopus 로고
    • Geodesic active contours and level sets for the detection and tracking of moving objects
    • Paragios N., and Deriche R. Geodesic active contours and level sets for the detection and tracking of moving objects. IEEE Trans. Pattern Anal. Mach. Intell. 22 3 (2000) 266-280
    • (2000) IEEE Trans. Pattern Anal. Mach. Intell. , vol.22 , Issue.3 , pp. 266-280
    • Paragios, N.1    Deriche, R.2
  • 43
    • 0031240184 scopus 로고    scopus 로고
    • A methodology for evaluation of boundary detection algorithms on medical images
    • Chalana V., and Kim Y. A methodology for evaluation of boundary detection algorithms on medical images. IEEE Trans. Med. Imag. 16 5 (1997) 642-652
    • (1997) IEEE Trans. Med. Imag. , vol.16 , Issue.5 , pp. 642-652
    • Chalana, V.1    Kim, Y.2
  • 45
    • 0025465145 scopus 로고
    • Scale-scape and edge-detection using anisotropic diffusion
    • Perona J., and Malik J. Scale-scape and edge-detection using anisotropic diffusion. IEEE Trans. Pattern Anal. Mach. Intell. 12 7 (1990) 629-639
    • (1990) IEEE Trans. Pattern Anal. Mach. Intell. , vol.12 , Issue.7 , pp. 629-639
    • Perona, J.1    Malik, J.2
  • 46
    • 0032587463 scopus 로고    scopus 로고
    • Detection of lines and boundaries in speckle images-application to medical ultrasound
    • Czerwinski R.N., Jones D.L., and O' Brien W.D. Detection of lines and boundaries in speckle images-application to medical ultrasound. IEEE Trans. Med. Imag. 18 2 (1999) 126-136
    • (1999) IEEE Trans. Med. Imag. , vol.18 , Issue.2 , pp. 126-136
    • Czerwinski, R.N.1    Jones, D.L.2    O' Brien, W.D.3
  • 47
    • 0018306059 scopus 로고
    • A threshold selection method form gray-level histograms
    • Otsu N. A threshold selection method form gray-level histograms. IEEE Trans. Syst. Man Cybern. 9 1 (1979) 62-66
    • (1979) IEEE Trans. Syst. Man Cybern. , vol.9 , Issue.1 , pp. 62-66
    • Otsu, N.1
  • 49
    • 0017163375 scopus 로고
    • Comparing the joint agreement of several raters with another rater
    • Williams G.W. Comparing the joint agreement of several raters with another rater. Biometrics 32 (1976) 619-627
    • (1976) Biometrics , vol.32 , pp. 619-627
    • Williams, G.W.1
  • 50
    • 84952503562 scopus 로고
    • Thirteen ways to look at the correlation coefficient
    • Rogers J.L., and Nicewander W.A. Thirteen ways to look at the correlation coefficient. Am. Stat. 42 (1988) 59-66
    • (1988) Am. Stat. , vol.42 , pp. 59-66
    • Rogers, J.L.1    Nicewander, W.A.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.