Left ventricle tracking using overlap priors

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 5241 LNCS, Issue PART 1, 2008, Pages 1025-1033

  Ayed, Ismail Ben ^a   Lu, Yingli ^a   Li, Shuo ^a   Ross, Ian ^a  

^a NONE

Author keywords

[No Author keywords available]

Indexed keywords

BHATTACHARYYA COEFFICIENT; CARDIAC MAGNETIC RESONANCE; EXISTING METHOD; FUNCTIONALS; INTENSITY DISTRIBUTION; LAGRANGE; LEFT VENTRICLES; MANUAL SEGMENTATION; NON-PARAMETRIC; OVERLAP MEASURES; QUANTITATIVE EVALUATION; SHAPE PRIORS; TARGET REGIONS; TRAINING SETS;

COMPUTER SCIENCE;

MEDICAL COMPUTING;

EID: 58949089090     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-85988-8_122     Document Type: Conference Paper

References (15)

1. Cremers, D., Rousson, M., Deriche, R.: A Review of Statistical Approaches to Level Set Segmentation: Integrating Color, Texture, Motion and Shape. International Journal of Computer Vision 62, 249-265 (2007)
2. 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 Transactions on Medical Imaging 27(2), 195-203 (2008)
3. Lynch, M., Ghita, O., Whelan, P.F.: Left-ventricle myocardium segmentation using a coupled level-set with a priori knowledge. Computerized Medical Imaging and Graphics 30, 255-262 (2006)
4. Jolly, M.-P.: Automatic Segmentation of the Left Ventricle in Cardiac MR and CT Images. International Journal of Computer Vision 70(2), 151-163 (2006)
5. Kohlberger, T., Cremers, D., Rousson, M., Ramaraj, R., Funka-Lea, G.: 4D Shape Priors for a Level Set Segmentation of the Left Myocardium in SPECT Sequences. In: Larsen, R., Nielsen, M., Sporring, J. (eds.) MICCAI 2006. LNCS, vol. 4190, pp. 92-100. Springer, Heidelberg (2006)
6. Sun, W., Çetin, M., Chan, R., Reddy, V., Holmvang, G., Chandar, V., Willsky, A.: Segmenting and Tracking the Left Ventricle by Learning the Dynamics in Cardiac Images. Information Processing in Medical Imaging, 553-565 (2005)
7. Paragios, N.: A Variational Approach for the Segmentation of the Left Ventricle in Cardiac Image Analysis. IJCV 50(3), 345-362 (2002)
8. Cootes, T., Edwards, G., Taylor, C.: Active Appearance Models. IEEE Transactions on Pattern Analysis and Machine Intelligence 23(6), 681-685 (2001)
9. Andreopoulos, A., Tsotsos, J.K.: Efficient and Generalizable Statistical Models of Shape and Appearance for Analysis of Cardiac MRI. Medical Image Analysis (in press)
10. Zambal, S., Hladůvka, J., Bühler, K.: Improving Segmentation of the Left Ventricle Using a Two-Component Statistical Model. In: Larsen, R., Nielsen, M., Sporring, J. (eds.) MICCAI 2006. LNCS, vol. 4190, pp. 151-158. Springer, Heidelberg (2006)
11. Mitchell, S.C., Lelieveldt, B.P.F., van der Geest, R.J., Bosch, H.G., Reiber, J.H.C., Sonka, M.: Multistage Hybrid Active Appearance Model Matching: Segmentation of Left and Right Ventricles in Cardiac MR Images. IEEE Transactions on Medical Imaging 20(5), 415-423 (2001)
12. Michailovich, O.V., Rathi, Y., Tannenbaum, A.: Image Segmentation Using Active Contours Driven by the Bhattacharyya Gradient Flow. IEEE Transactions on Image Processing 16(11), 2787-2801 (2007)
13. Zhang, T., Freedman, D.: Improving performance of distribution tracking through background mismatch. IEEE Transactions on Pattern Analysis and Machine Intelligence 27(2), 282-287 (2005)
14. Ben Ayed, I., Li, S., Ross, I.: Tracking Distributions with an Overlap Prior. In: IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR, 2008), Anchorage, Alaska (2008)
15. Freedman, D., Radke, R.J., Zhang, T., Jeong, Y., Lovelock, D.M., Chen, G.T.Y.: Model-Based Segmentation of Medical Imagery by Matching Distributions. IEEE Transactions on Medical Imaging 24(3), 281-292 (2005)