Automatic left ventricle segmentation in cardiac MRI using topological stable-state thresholding and region restricted dynamic programming

Academic Radiology

Volumn 19, Issue 6, 2012, Pages 723-731

  Liu, Hong ^a   Hu, Huaifei ^a   Xu, Xiangyang ^a   Song, Enmin ^a  

^a HUAZHONG UNIVERSITY OF SCIENCE AND TECHNOLOGY   (China)

Author keywords

Cardiac MRI; Left ventricle segmentation; Non maxima gradient suppression; Region restricted dynamic programming; Topological stable state thresholding

Indexed keywords

ARTICLE; CARDIOVASCULAR MAGNETIC RESONANCE; CONTROLLED STUDY; DATA BASE; EPICARDIUM; HEART EJECTION FRACTION; HEART FAILURE; HEART LEFT VENTRICLE; HEART LEFT VENTRICLE HYPERTROPHY; HEART LEFT VENTRICLE MASS; HUMAN; PRIORITY JOURNAL; VALIDATION PROCESS;

ADULT; AGED; ALGORITHMS; FEMALE; HEART VENTRICLES; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; MAGNETIC RESONANCE IMAGING, CINE; MALE; MIDDLE AGED; PATTERN RECOGNITION, AUTOMATED; PROGRAMMING, LINEAR; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; VENTRICULAR DYSFUNCTION, LEFT;

EID: 84860613919     PISSN: 10766332     EISSN: 18784046     Source Type: Journal    
DOI: 10.1016/j.acra.2012.02.011     Document Type: Article

References (21)

1. Allender S., Scarborough P., Peto V., et al. European cardiovascular disease statistics 2008, European Heart Network, Brussels.
2. Lloyd-Jones D., Adams R.J., Brown T.M., et al. Heart disease and stroke statistics-2010 update. Circulation 2010, 121:e46-e215.
3. Petitjean C., Dacher J.N. A review of segmentation methods in short axis cardiac MR images. Med Image Anal 2011, 15:169-184.
4. Kaus M.R., Berg J., Weese J., et al. Automated segmentation of the left ventricle in cardiac MRI. Med Image Anal 2004, 8:245-254.
5. Pednekar A., Kurkure U., Muthupillai R., et al. Automated left ventricular segmentation in cardiac MRI. IEEE Trans Biomed Engineering 2006, 53:1425-1428.
6. Chen T., Babb J., Kellman P., et al. Semiautomated segmentation of myocardial contours for fast strain analysis in cine displacement-encoded MRI. IEEE Trans Med Imaging 2008, 27:1084-1094.
7. Lee H.Y., Codella N.C.F., Cham M.D., et al. Automatic left ventricle segmentation using iterative thresholding and an active contour model with adaptation on short-axis cardiac MRI. IEEE Trans Biomed Engineering 2010, 57:905-913.
8. Pluempitiwiriyawej C., Moura J.M.F., Wu Y.J.L., et al. STACS: new active contour scheme for cardiac MR image segmentation. IEEE Trans Med Imaging 2005, 24:593-603.
9. Lu Y., Radau P., Connelly K., et al. Segmentation of left ventricle in cardiac cine MRI: An automatic image-driven method. Functional Imaging and Modeling of the Heart 2009, 5528:339-347.
10. Huang S., Liu J., Lee L.C., et al. An image-based comprehensive approach for automatic segmentation of left ventricle from cardiac short axis cine mr images. J Digit Imaging 2011, 24:598-608.
11. Otsu N. A threshold selection method from gray-level histograms. Automatica 1975, 11:285-296.
12. Xu X., Xu S., Jin L., et al. Characteristic analysis of Otsu threshold and its applications. Pattern Recognition Lett 2011, 32:956-961.
13. Yeh J., Fu J., Wu C., et al. Myocardial border detection by branch-and-bound dynamic programming in magnetic resonance images. Computer Meth Prog Biomed 2005, 79:19-29.
14. üzümcü M., van der Geest R.J., Swingen C., et al. Time continuous tracking and segmentation of cardiovascular magnetic resonance images using multidimensional dynamic programming. Investig Radiol 2006, 41:52.
15. Mainali P., Yang Q., Lafruit G., et al. Robust low complexity corner detector. Circuits and Systems for Video Technology, IEEE Transactions on 2011, 21:435-445.
16. Xu XY, Xu SZ, Jin LH, et al. Using PSO to improve dynamic programming based algorithm for breast mass segmentation. In: Kenli L, ed. Proceedings 2010 IEEE Fifth International Conference on Bio-Inspired Computing: Theories and Applications. Institute of Electrical and Electronics Engineerings, Inc; 2010. p. 485-488.
17. Lynch M., Ghita O., Whelan P.F. Automatic segmentation of the left ventricle cavity and myocardium in MRI data. Comput Biol Med 2006, 36:389-407.
18. Pikaz A., Averbuch A. Digital image thresholding, based on topological stable-state. Pattern Recognition 1996, 29:829-843.
19. The data source and evaluation software. Available at:. Accessed July 18, 2011. http://sourceforge.net/projects/cardiac-mr/files/.
20. Chuang M.L., Gona P., Hautvast G.L.T.F., et al. Impact of left ventricular trabeculations and papillary muscles on measures of cavity volume and ejection fraction. Journal of Cardiovascular Magnetic Resonance 2011, 13:1-2.
21. Lynch M., Ghita O., Whelan P.F. Segmentation of the left ventricle of the heart in 3-D+ t MRI data using an optimized nonrigid temporal model. IEEE Trans Med Imaging 2008, 27:195-203.