메뉴 건너뛰기




Volumn 18, Issue 2, 2008, Pages 351-358

Automatic computation of left ventricle ejection fraction from dynamic ultrasound images

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL METHODS; LAWS AND LEGISLATION; LEVEL MEASUREMENT; SET THEORY; ULTRASONIC IMAGING;

EID: 45149104772     PISSN: 10546618     EISSN: 15556212     Source Type: Journal    
DOI: 10.1134/S1054661808020247     Document Type: Article
Times cited : (24)

References (25)
  • 1
    • 26644440814 scopus 로고    scopus 로고
    • The task force for the diagnosis and treatment of CHF of the European society of cardiology, guidelines for the diagnosis and treatment of chronic heart failure: Full text (update 2005)
    • K. Swedberg et al., "The Task Force for the Diagnosis and Treatment of CHF of the European Society of Cardiology, Guidelines for the Diagnosis and Treatment of Chronic Heart Failure: Full Text (update 2005)," Eur. Heart J., 1-45 (2005).
    • (2005) Eur. Heart J. , pp. 1-45
    • Swedberg, K.1
  • 2
    • 45149110169 scopus 로고    scopus 로고
    • The American College of Cardiology/American Heart Association task force on practice guidelines (Writing Committee to Update the 2001 guidelines for the evaluation and management of heart failure)
    • ACC/AHA
    • S. A. Hunt et al., "The American College of Cardiology/American Heart Association Task Force on Practice Guidelines (Writing Committee to Update the 2001 Guidelines for the Evaluation and Management of Heart Failure)," ACC/AHA 2005 Guideline Update for the Diagnosis and Management of Chronic Heart Failure in the Adult (ACC/AHA, 2005).
    • (2005) ACC/AHA 2005 Guideline Update for the Diagnosis and Management of Chronic Heart Failure in the Adult
    • Hunt, S.A.1
  • 3
    • 29244432482 scopus 로고    scopus 로고
    • Recommendation for Chamber Quantification: A Report from the American Society of Echocardiography's Guidelines and Standards Committee and the Chamber Quantification Writing Group, developed in conjunction with the European Association of Echocardiography, a branch of the European Society of Cardiology
    • R. M. Lang et al., "Recommendation for Chamber Quantification: A Report from the American Society of Echocardiography's Guidelines and Standards Committee and the Chamber Quantification Writing Group, developed in conjunction with the European Association of Echocardiography, a branch of the European Society of Cardiology," J. Am. Soc. Echocardiogr. 18, 1440-1463 (2005).
    • (2005) J. Am. Soc. Echocardiogr. , vol.18 , pp. 1440-1463
    • Lang, R.M.1
  • 4
    • 34250090755 scopus 로고
    • Snakes: Active Contour Models
    • M. Kass, A. Witkin, and D. Terzopulos, "Snakes: Active Contour Models," IJCV 1, 321-331 (1988).
    • (1988) IJCV , vol.1 , pp. 321-331
    • Kass, M.1    Witkin, A.2    Terzopulos, D.3
  • 5
    • 0018306059 scopus 로고
    • A Threshold Selection Method from Gray-Level Histograms
    • N. Otsu, "A Threshold Selection Method from Gray-Level Histograms," IEEE Trans. on Systems, Man, and Cybernetics 9, 62-66 (1979).
    • (1979) IEEE Trans. on Systems, Man, and Cybernetics , vol.9 , pp. 62-66
    • Otsu, N.1
  • 7
    • 1842422015 scopus 로고    scopus 로고
    • Survey over Image Thresholding Techniques and Quantitative Performance Evaluation
    • M. Sezgin and B. Sankur, "Survey over Image Thresholding Techniques and Quantitative Performance Evaluation," J. of Electronic Imaging 13, 146-165 (2004).
    • (2004) J. of Electronic Imaging , vol.13 , pp. 146-165
    • Sezgin, M.1    Sankur, B.2
  • 8
    • 15944397615 scopus 로고    scopus 로고
    • Thresholding Technique with Adaptive Window Selection for Uneven Lighting Image
    • Q. Huang, W. Gao, and W. Cai, "Thresholding Technique with Adaptive Window Selection for Uneven Lighting Image," Pattern Recognition Lett. 26, 801-808 (2005).
    • (2005) Pattern Recognition Lett. , vol.26 , pp. 801-808
    • Huang, Q.1    Gao, W.2    Cai, W.3
  • 9
    • 17644427708 scopus 로고    scopus 로고
    • A Multistage Adaptive Thresholding Method
    • F. Yan, H. Zhang, and C. R. Kube, "A Multistage Adaptive Thresholding Method," Pattern Recognition Lett. 26, 1183-1191 (2005).
    • (2005) Pattern Recognition Lett. , vol.26 , pp. 1183-1191
    • Yan, F.1    Zhang, H.2    Kube, C.R.3
  • 11
    • 84923379702 scopus 로고    scopus 로고
    • Unifying boundary and region-based information for geodesic active tracking
    • N. Paragios and R. Deriche, "Unifying Boundary and Region-Based Information for Geodesic Active Tracking," in CVPR (1999), pp. 2300-2305.
    • (1999) CVPR , pp. 2300-2305
    • Paragios, N.1    Deriche, R.2
  • 13
    • 0037235942 scopus 로고    scopus 로고
    • Strategies for Image Segmentation Combining Region and Boundary Information
    • X. Muñoz, J. Freixenet, X. Cufí, and J. Martí, "Strategies for Image Segmentation Combining Region and Boundary Information," Pattern Recognition Lett. 24, 375-392 (2003).
    • (2003) Pattern Recognition Lett. , vol.24 , pp. 375-392
    • Muñoz, X.1    Freixenet, J.2    Cufí, X.3    Martí, J.4
  • 14
    • 0035815868 scopus 로고    scopus 로고
    • A Multiscale Optimization Approach for the Dynamic Contour-Based Boundary Detection Issue
    • M. Mignotte and J. Meunier, "A Multiscale Optimization Approach for the Dynamic Contour-Based Boundary Detection Issue," Comput. Med. Imag. Graph. 25, 265-275 (2001).
    • (2001) Comput. Med. Imag. Graph. , vol.25 , pp. 265-275
    • Mignotte, M.1    Meunier, J.2
  • 15
    • 0344552291 scopus 로고    scopus 로고
    • Using prior shape and intensity profile in medical image segmentation
    • Y. Chen, F. Huang, H. Tagare, M. Rao, D. C. Wilson, and E. A. Geiser, "Using Prior Shape and Intensity Profile in Medical Image Segmentation," in ICCV (2003), pp. 1117-1125.
    • (2003) ICCV , pp. 1117-1125
    • Chen, Y.1    Huang, F.2    Tagare, H.3    Rao, M.4    Wilson, D.C.5    Geiser, E.A.6
  • 16
    • 0344980101 scopus 로고    scopus 로고
    • Artificial Neural Networks and Spatial Temporal Contour Linking for Automated Endocardial Contour Detection on Echocardiograms: A Novel Approach to Determine Left Ventricular Contractile Function
    • T. Binder, M. Sussner, D. Moertl, H. Strohmer, T. Baumgarten, G. Maurer, and G. Porenta, "Artificial Neural Networks and Spatial Temporal Contour Linking for Automated Endocardial Contour Detection on Echocardiograms: A Novel Approach to Determine Left Ventricular Contractile Function," Ultrasound Med. Biol. 25, 1069-1076 (1999).
    • (1999) Ultrasound Med. Biol. , vol.25 , pp. 1069-1076
    • Binder, T.1    Sussner, M.2    Moertl, D.3    Strohmer, H.4    Baumgarten, T.5    Maurer, G.6    Porenta, G.7
  • 17
    • 0030164344 scopus 로고    scopus 로고
    • A Multiple Active Contour Model for Cardiac Boundary Detection on Echocardiographic Sequences
    • V. Chalana, D. Linker, D. Haynor, and Y. Kim, "A Multiple Active Contour Model for Cardiac Boundary Detection on Echocardiographic Sequences," IEEE Trans. Med. Imag. 15, 290-298 (1996).
    • (1996) IEEE Trans. Med. Imag. , vol.15 , pp. 290-298
    • Chalana, V.1    Linker, D.2    Haynor, D.3    Kim, Y.4
  • 19
    • 33746885878 scopus 로고    scopus 로고
    • Ultrasound Image Segmentation: A Survey
    • J. Noble and D. Boukerroui, "Ultrasound Image Segmentation: a Survey," IEEE Trans. Med. Imag. 25, 987-1010 (2006).
    • (2006) IEEE Trans. Med. Imag. , vol.25 , pp. 987-1010
    • Noble, J.1    Boukerroui, D.2
  • 20
    • 44749084234 scopus 로고
    • Fronts Propagating with Curvature Dependent Speed: Algorithms Based on Hamilton-Jacobi Formulations
    • S. Osher and J. Sethian, "Fronts Propagating with Curvature Dependent Speed: Algorithms Based on Hamilton-Jacobi Formulations," J. Computational Phys. 79, 12-49 (1988).
    • (1988) J. Computational Phys. , vol.79 , pp. 12-49
    • Osher, S.1    Sethian, J.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.