Myocardium tracking via matching distributions

Springer Science and Business Media LLC - Tập 4 Số 1 - Trang 37-44 - 2009
Ismail Ben Ayed1, Shuo Li1, I. G. Ross2, Ali Islam3
1General Electric Canada (GE Healthcare), London, ON, Canada
2London Health Sciences Centre, London, ON, Canada
3St. Joseph’s Healthcare, London, ON, Canada

Tóm tắt

Từ khóa


Tài liệu tham khảo

Cerqueira MD, Weissman NJ, Dilsizian V, Jacobs AK, Kaul S, Laskey WK, Pennell DJ, Rumberger JA, Ryan T, Verani MS (2002) Standardized myocardial segmentation and nomenclature for tomographic imaging of the heart: a statement for healthcare professionals from cardiac imaging committee of the council on clinical cardiology of the American heart association. Circulation 105: 539–542

Lynch M, Ghita O, Whelan PF (2008) Segmentation of the left ventricle of the heart in 3-D+t MRI data using an optimized nonrigid temporal model. IEEE Trans Med Imaging 27(2): 195–203

Lynch M, Ghita O, Whelan PF (2006) Left-ventricle myocardium segmentation using a coupled level-set with a priori knowledge. Comput Med Imaging Graph 30: 255–262

Jolly M-P (2006) Automatic segmentation of the left ventricle in cardiac MR and CT images. Int J Comput Vision 70(2): 151–163

Kohlberger T, Cremers D, Rousson M, Ramaraj R, Funka-Lea G (2006) 4D Shape priors for a level set segmentation of the left myocardium in SPECT sequences. MICCAI, pp 92–100

Sun W, Çetin M, Chan R, Reddy V, Holmvang G, Chandar V, Willsky A (2005) Segmenting and tracking the left ventricle by learning the dynamics in cardiac images. Inform Process Med Imaging 553–565

Paragios N (2003) A level set approach for shape-driven segmentation and tracking of the left ventricle. IEEE Trans Med Imaging 22: 773–776

Paragios N (2002) A variational approach for the segmentation of the left ventricle in cardiac image analysis. Int J Comput Vision 50(3): 345–362

Fritscher KD, Pilgram R, Schubert R (2005) Automatic cardiac 4-D segmentation using level sets. In: Frangi A (eds) Proceedings of functional imaging and modelling of the heart. Springer, Heidelberg, pp 113–122

Rueckert D, Burger P (1997) Shape-based segmentation and tracking in 4-D cardiac MR images. In: Proceedings of the International Conference on computer vision, virtual reality robotics medicine, CVRMed., Grenoble, pp 43–52

Andreopoulos A, Tsotsos JK (2008) Efficient and generalizable statistical models of shape and appearance for analysis of cardiac MRI. Med Image Anal

Zambal S, Hladůvka J, Bühler K (2006) Improving segmentation of the left ventricle using a two-component statistical model. MICCAI, pp 151–158

Mitchell SC, Lelieveldt BPF, van der Geest RJ, Bosch HG, Reiber JHC, Sonka M (2001) Multistage hybrid active appearance model matching: segmentation of left and right ventricles in cardiac MR images. IEEE Trans Med Imaging 20(5): 415–423

Stegmann MB, Ólafsdóttir H, Larsson HBW (2005) Unsupervised motion-compensation of multi-slice cardiac perfusion MRI. Med Image Anal 9(4): 394–410

Freedman D, Radke RJ, Zhang T, Jeong Y, Lovelock DM, Chen GTY (2005) Model-based segmentation of medical imagery by matching distributions. IEEE Trans Med Imaging 24(3): 281–292

Cremers D, Rousson M, Deriche R (2007) A review of statistical approaches to level set segmentation: integrating color, texture, motion and shape. Int J Comput Vision 62: 249–265

Cootes T, Edwards G, Taylor C (2001) Active appearance models. IEEE Trans Pattern Anal Mach Intell 23(6): 681–685

Ben Ayed I, Hennane N, Mitiche A (2006) Unsupervised variational image segmentation/classification using a Weibull observation model. IEEE Trans Image Process 15(11): 3431–3439

Chan TF, Vese LA (2001) Active contours without edges. IEEE Trans Image Process 10(2): 266–277

Ben Ayed I, Mitiche A, Belhadj Z (2006) Polarimetric image segmentation via maximum-likelihood approximation and efficient multiphase level-sets. IEEE Trans Pattern Anal Mach Intell 28(9): 1493–1500

Michailovich OV, Rathi Y, Tannenbaum A (2007) Image segmentation using active contours driven by the Bhattacharyya gradient flow. IEEE Trans Image Process 16(11): 2787–2801

Zhang T, Freedman D (2005) Improving performance of distribution tracking through background mismatch. IEEE Trans Pattern Anal Mach Intell 27(2): 282–287

Freedman D, Zhang T (2004) Active contours for tracking distributions. IEEE Trans Image Process 13(4): 518–526

Sethian J (1999) Level set methods and fast marching methods. Cambridge University Press, London

Bland JM, Altman DG (1986) Statiscal methods for assessing agreement between two methods of clinical measurements. Lancet 8476: 307–310

Ben Ayed I, Mitiche A, Belhadj Z (2005) Multiregion level-set partitioning of synthetic aperture radar images. IEEE Trans Pattern Anal Mach Intell 27(5): 793–800