Propagating interactive segmentation of a single 3D example to similar images: An evaluation study using MR images of the prostate

Proceedings - International Symposium on Biomedical Imaging

Volumn , Issue , 2011, Pages 1472-1475

  Moschidis, Emmanouil ^a   Graham, Jim ^a  

^a UNIVERSITY OF MANCHESTER   (United Kingdom)

Author keywords

3 D Medical Images; Graph Cuts; Image Registration; Image Segmentation; Performance Evaluation; Prostate Segmentation

Indexed keywords

BOUNDARY DELINEATION; DATA SETS; DEFORMABLE REGISTRATION; EVALUATION STUDY; GRAPH-CUTS; INTERACTIVE SEGMENTATION; MEDICAL IMAGES; MR IMAGES; PERFORMANCE EVALUATION; PRIOR KNOWLEDGE; PROSTATE SEGMENTATION; SEGMENTATION PROPAGATION; SIMILAR IMAGE; TWO STAGE; TWO-STAGE PROCESSING;

GRAPHIC METHODS; KNOWLEDGE MANAGEMENT; MAGNETIC RESONANCE; MEDICAL IMAGING; THREE DIMENSIONAL; USER INTERFACES;

IMAGE SEGMENTATION;

EID: 80055048498     PISSN: 19457928     EISSN: 19458452     Source Type: Conference Proceeding    
DOI: 10.1109/ISBI.2011.5872678     Document Type: Conference Paper

References (17)

1. J.K. Udupa et al. "A framework for evaluating image segmentation algorithms", Computerized Medical Imaging and Graphics, vol.30, no.2, pp. 75-87, 2006.
2. G. Gerig, M. Jomier and M. Chakos, "Valmet: A New Validation Tool for Assessing and Improving 3D Object Segmentation," InProc. MICCAI, pp. 516-523, 2001.
3. J.-P. Thirion, "Image Matching as a Diffusion Process", MedIA, vol 2, no. 3, pp. 243-260, 1998.
4. D. Rueckert et al "Nonrigid Registration Using Free-Form Deformations: Application to Breast Images", IEEE T-MI, vol. 18, no. 8, pp. 712-721, 1999.
5. D.-J. Kroon and C. H. Slump, "MRI Modality Transformation in Demon Registration", In Proc. ISBI, pp. 963-966, 2009.
6. B. Glocker, N. Komodakis, G. Tziritas, N. Navab and N. Paragios, "Dense Image Registration Through MRFs and Efficient Linear Programming", Med IA., vol. 12, no. 6, pp. 731-741, 2008.
7. N. Komodakis, G. Tziritas and N. Paragios, "Fast Approximately Optimal Solutions for Single and Dynamic MRFs", InProc. CVPR, pp. 1-8, 2007.
8. T.F Cootes, C.J. Twining, V.S. Petrovic, K.O. Babalola and C.J. Taylor, "Computing Accurate Correspondences across Groups of Images", IEEE T-PAMI, vol. 32, no. 11, pp. 1994-2005, 2010.
9. O. Juan and Y. Boykov, "Active Graph Cuts", In Proc. CVPR, vol. 1, pp. 1023-1029, 2006
10. E. Moschidis and J. Graham, "A Systematic Performance Evaluation of Interactive Image Segmentation Methods based on Simulated User Interaction", In Proc. ISBI, pp. 928-931, 2010.
11. Y. Boykov and M.-P. Jolly, "Interactive graph cuts for optimal boundary and region segmentation of objects in N-D images," InProc. ICCV, vol. 1, pp. 105-112, 2001.
12. Y. Boykov and V. Kolmogorov, "An experimental comparison of min-cut/max-flow algorithms for energy minimization in vision", IEEE T-PAMI, vol. 26, no. 9, pp. 1124-1137, 2004.
13. E. Moschidis and J. Graham, "Interactive Differential Segmentation of the Prostate using Graph-Cuts with a Feature Detector-based Boundary Term", In Proc. MIUA, pp. 191-195, 2010.
14. J. Canny, "A Computational Approach to Edge Detection", IEEE T-PAMI, vol. 8, no. 6, pp. 679-698, 1986.
15. P. Kovesi, "Image Features from Phase Congruency", Videre, vol. 1, no. 3, pp. 1-27, 1999.
16. S.M. Smith and M.J. Brady, "SUSAN-A New approach to low level image processing", IJCV, vol. 23, no. 1, pp. 45-78, 1997.
17. S. Klein et al. "Segmentation of the Prostate by Atlas Matching", In Proc. ISBI, pp. 1300-1303, 2007.