Abstract
This paper presents a level set segmentation of the myocardium, endocardium and epicardium surfaces of the heart from 2D SPECT rest and stress perfusion images of the same patient to compute a heterogeneity index. Cardiac SPECT images have low resolution, low signal to noise ratio and lack of anatomical information. So accurate segmentation is difficult. The proposed method adds joint constraints of shape, parallelism and intensity in a level-set framework to simultaneously extract myocardium from rest and stress images. Results are compared to classical level-set segmentation.
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References
Becker, M., Magnenat-Thalmann, N.: Deformable models in medical image segmentation. In: Magnenat-Thalmann, N., Ratib, O., Choi, H.F. (eds.) 3D Multiscale Physiological Human, pp. 81–106. Springer, London (2014)
Camici, P.G., d’Amati, G., Rimoldi, O.: Coronary microvascular dysfunction: mechanisms and functional assessment. Nat. Rev. Cardiol. 12(1), 48–62 (2015). http://dx.doi.org/10.1038/nrcardio.2014.160
Cremers, D., Osher, S.J., Soatto, S.: Kernel density estimation and intrinsic alignment for shape priors in level set segmentation. Int. J. Comput. Vis. 69(3), 335–351 (2006)
Grosgeorge, D., Petitjean, C., Dacher, J.N., Ruan, S.: Graph cut segmentation with a statistical shape model in cardiac MRI. Comput. Vis. Image Underst. 117(9), 1027–1035 (2013)
Kang, D., Woo, J., Slomka, P.J., Dey, D., Germano, G., Jay Kuo, C.C.: Heart chambers and whole heart segmentation techniques: review. J. Electron. Imaging 21(1), 010901-1–010901-16 (2012)
Khan, M.W.: A survey: image segmentation techniques. Int. J. Future Comput. Commun. 3(2), 89 (2014)
Kohlberger, T., Funka-Lea, G., Desh, V.: Soft level set coupling for LV segmentation in gated perfusion SPECT. In: Ayache, N., Ourselin, S., Maeder, A. (eds.) MICCAI 2007. LNCS, vol. 4791, pp. 327–334. Springer, Heidelberg (2007). doi:10.1007/978-3-540-75757-3_40
Li, C., Kao, C.Y., Gore, J., Ding, Z.: Implicit active contours driven by local binary fitting energy. In: IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2007, pp. 1–7, June 2007
Paragios, N.: A level set approach for shape-driven segmentation and tracking of the left ventricle. IEEE Trans. Med. Imaging 22(6), 773–776 (2003)
Paragios, N.: Curve propagation, level set methods and grouping. In: Paragios, N., Chen, Y., Faugeras, O. (eds.) Handbook of Mathematical Models in Computer Vision, pp. 145–159. Springer, New York (2006)
Pham, D.L., Xu, C., Prince, J.L.: Current methods in medical image segmentation 1. Ann. Rev. Biomed. Eng. 2(1), 315–337 (2000)
Poujol, J., Desvignes, M., Broisat, A., Barone-Rochette, G., Vanzetto, G., Fagret, D., Riou, L., Ghezzi, C.: Myocardium segmentation on 3d spect images. In: 2015 IEEE International Conference on Image Processing, ICIP 2015, pp. 4788–4792 (2015)
Riklin-Raviv, T., Sochen, N., Kiryati, N.: Shape-based mutual segmentation. Int. J. Comput. Vis. 79(3), 231–245 (2008)
Rousson, M., Paragios, N.: Shape priors for level set representations. In: Heyden, A., Sparr, G., Nielsen, M., Johansen, P. (eds.) ECCV 2002. LNCS, vol. 2351, pp. 78–92. Springer, Heidelberg (2002). doi:10.1007/3-540-47967-8_6
Soneson, H., Ubachs, J.F., Ugander, M., Arheden, H., Heiberg, E.: An improved method for automatic segmentation of the left ventricle in myocardial perfusion spect. J. Nucl. Med. 50(2), 205–213 (2009)
Woo, J., Slomka, P.J., Kuo, C.C.J., Hong, B.W.: Multiphase segmentation using an implicit dual shape prior: application to detection of left ventricle in cardiac mri. Comput. Vis. Image Underst. 117(9), 1084–1094 (2013)
Yang, R., Mirmehdi, M., Xie, X., Hall, D.J.: Shape and appearance based spatiotemporal constraint for LV segmentation in 4D cardiac SPECT. In: CI2BM09 - MICCAI Workshop on Cardiovascular Interventional Imaging and Biophysical Modelling, London, United Kingdom, p. 10, September 2009
Yu, Z.Q., Zhu, Y., Yang, J., Zhu, Y.M.: A hybrid region-boundary model for cerebral cortical segmentation in mri. Comput. Med. Imaging Graph. 30(3), 197–208 (2006). http://dx.doi.org/10.1016/j.compmedimag.2006.03.006
Zhao, Y.Q., Wang, X.F., Shih, F.Y., Yu, G.: A level-set method based on global and local regions for image segmentation. Int. J. Pattern Recogn. Artif. Intell. 26(01), 1255004 (2012)
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Filippi, M. et al. (2016). Joint Segmentation of Myocardium on Rest and Stress Spect Images. In: Blanc-Talon, J., Distante, C., Philips, W., Popescu, D., Scheunders, P. (eds) Advanced Concepts for Intelligent Vision Systems. ACIVS 2016. Lecture Notes in Computer Science(), vol 10016. Springer, Cham. https://doi.org/10.1007/978-3-319-48680-2_7
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