Segmentation of the right ventricle using diffusion maps and Markov random fields

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

Volumn 8673 LNCS, Issue PART 1, 2014, Pages 682-689

  Moolan Feroze, Oliver ^a   Mirmehdi, Majid ^a   Hamilton, Mark ^a   Bucciarelli Ducci, Chiara ^a  

^a UNIVERSITY OF BRISTOL   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

ITERATIVE METHODS; MARKOV PROCESSES; MEDICAL COMPUTING; MEDICAL IMAGING;

AUTOMATED SEGMENTATION; CURRENT ESTIMATES; IMAGE INFORMATION; ITERATIVE GENERATION; MANIFOLD LEARNING; MANIFOLD MODELING; MARKOV RANDOM FIELDS; STATE-OF-THE-ART METHODS;

IMAGE SEGMENTATION;

ALGORITHM; ARTICLE; AUTOMATED PATTERN RECOGNITION; BIOLOGICAL MODEL; COMPUTER ASSISTED DIAGNOSIS; COMPUTER SIMULATION; DIFFUSION WEIGHTED IMAGING; HEART RIGHT VENTRICLE FUNCTION; HEART VENTRICLE; HUMAN; IMAGE ENHANCEMENT; IMAGE SUBTRACTION; METHODOLOGY; NUCLEAR MAGNETIC RESONANCE IMAGING; PATHOLOGY; PROBABILITY; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; STATISTICAL MODEL;

ALGORITHMS; COMPUTER SIMULATION; DIFFUSION MAGNETIC RESONANCE IMAGING; HEART VENTRICLES; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; MAGNETIC RESONANCE IMAGING, CINE; MARKOV CHAINS; MODELS, CARDIOVASCULAR; MODELS, STATISTICAL; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; SUBTRACTION TECHNIQUE; VENTRICULAR DYSFUNCTION, RIGHT;

EID: 84909642162     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-319-10404-1_85     Document Type: Conference Paper

References (17)

1. Petitjean, C., Dacher, J.N.: A review of segmentation methods in short axis cardiac MR images. Medical Image Analysis 15(2), 169-184 (2011)
2. Caudron, J., Fares, J., Lefebvre, V., Vivier, P.H., Petitjean, C., Dacher, J.N.: Cardiac MRI assessment of right ventricular function in acquired heart disease: factors of variability. Academic Radiology 19(8), 991-1002 (2012)
3. Petitjean, C., Ruan, S., Grosgeorge, D.: Right Ventricle Segmentation in Cardiac MRI: a MICCAI 2012 Challenge (2012)
4. Warfield, S., Zou, K., Wells, W.: Simultaneous truth and performance level estimation (STAPLE): an algorithm for the validation of image segmentation. IEEE Trans. Medical Imaging 23(7), 903-921 (2004)
5. Zuluaga, M.A., Cardoso, M.J., Modat, M., Ourselin, S.: Multi-atlas propagation whole heart segmentation from MRI and CTA using a local normalised correlation coefficient criterion. In: Ourselin, S., Rueckert, D., Smith, N. (eds.) FIMH 2013. LNCS, vol. 7945, pp. 174-181. Springer, Heidelberg (2013)
6. Bai, W., Shi, W., O'Regan, D.P., Tong, T., Wang, H., Jamil-Copley, S., Peters, N.S., Rueckert, D.: A probabilistic patch-based label fusion model for multi-atlas segmentation with registration refinement: application to cardiac MR images. IEEE Trans. Medical Imaging 32(7), 1302-1315 (2013)
7. Mitchell, S.: Multistage hybrid active appearance model matching: segmentation of left and right ventricles in cardiac MR images. IEEE Trans. Medical Imaging 20, 415-423 (2001)
8. Ordas, S., Boisrobert, L., Huguet, M., Frangi, A.: Active shape models with invariant optimal features (IOF-ASM) application to cardiac MRI segmentation. Computers in Cardiology, 633-636 (2003)
9. Cootes, T., Taylor, C.: Active shape models-their training and application. CVIU 61, 38-59 (1995)
10. Grosgeorge, D., Petitjean, C., Dacher, J.N., Ruan, S.: Graph cut segmentation with a statistical shape model in cardiac MRI. CVIU 117(9), 1027-1035 (2013)
11. Zhu-Jacquot, J., Zabih, R.: Graph Cuts Segmentation with Statistical Shape Priors for Medical Images. In: Signal-Image Technologies and Internet-Based System, pp. 631-635 (2007)
12. Coifman, R.R., Lafon, S.: Diffusion maps. Applied and Computational Harmonic Analysis 21(1), 5-30 (2006)
13. Etyngier, P., Segonne, F., Keriven, R.: Shape Priors using Manifold Learning Techniques. In: IEEE ICCV, pp. 1-8 (2007)
14. Thorstensen, N., Étyngier, P., Ségonne, F., Keriven, R.: Diffusion maps as a framework for shape modeling. CVIU 115(4), 520-530 (2011)
15. Chan, T., Zhu, W.: Level Set Based Shape Prior Segmentation. IEEE CVPR 2, 1164-1170 (2005)
16. Boykov, Y., Veksler, O., Zabih, R.: Fast approximate energy minimization via graph cuts. IEEE PAMI 23(11), 1222-1239 (2001)
17. Powell, M.: Direct search algorithms for optimization calculations. Acta Numerica (1998)