Manual refinement system for graph-based segmentation results in the medical domain

Journal of Medical Systems

Volumn 36, Issue 5, 2012, Pages 2829-2839

  Egger, Jan ^a,b   Colen, Rivka R ^a   Freisleben, Bernd ^b   Nimsky, Christopher ^b  

^a BRIGHAM AND WOMEN S HOSPITAL   (United States)

^b PHILIPPS UNIVERSITY MARBURG   (Germany)

Author keywords

2D; 3D; Graph based; Manual refinement; Segmentation

Indexed keywords

ABDOMINAL AORTA ANEURYSM; ALGORITHM; ARTICLE; BRAIN ARTERY ANEURYSM; COMPUTED TOMOGRAPHIC ANGIOGRAPHY; DIFFUSION TENSOR IMAGING; GLIOBLASTOMA; HUMAN; HYPOPHYSIS ADENOMA; IMAGE PROCESSING; NEUROIMAGING; NUCLEAR MAGNETIC RESONANCE IMAGING; PATIENT CODING; WORKFLOW; COMPUTER ASSISTED DIAGNOSIS; METHODOLOGY; THREE DIMENSIONAL IMAGING;

ALGORITHMS; IMAGE INTERPRETATION, COMPUTER-ASSISTED; IMAGING, THREE-DIMENSIONAL; MAGNETIC RESONANCE IMAGING;

EID: 84867324126     PISSN: 01485598     EISSN: 1573689X     Source Type: Journal    
DOI: 10.1007/s10916-011-9761-7     Document Type: Article

References (39)

1. Shapiro, L. G.; Stockman, G. C.; Computer vision. Prentice Hall, ISBN 0-13-030796-3, 608 pages, 2001.
2. Pham, D. L.; Xu, C.; Prince, J. L.; Current methods in medical image segmentation. Annu. Rev. Biomed. Eng. 02:315-37, 2000.
3. Cufí, X.; Muñoz, X.; Freixenet, J.; Martí, J.; A review on image segmentation techniques integrating region and boundary information. Adv. Imag. Electron. Phys. 120:1-39, 2003.
4. Kass, M.; Witkin, A.; Terzopolous, D.; Snakes: Active contour models. International Journal of Computer Vision (IJCV) 1(4):321-331, 1988.
5. Kass, M.; Witkin, A.; Terzopoulos, D.; Constraints on deformable models: Recovering 3D shape and nongrid motion. Artif. Intell. 36:91-123, 1988.
6. Cootes, T. F.; Edwards, G. J.; Taylor, C. J.; Active appearance models. Proceedings of the European Conference on Computer Vision 2:484-498, 1998.
7. Cootes, T. F.; Taylor, C. J.; Statistical models of appearance for computer vision, Technical report, University of Manchester, 2004.
8. Cootes, T. F.; Taylor, C. J.; Active shape models - 'smart snakes. Proceedings of the British Machine Vision Conference 266-275, 1992.
9. Sclaroff, S.; Isidoro, J.; Active blobs. Proceedings of the Sixth International Conference on Computer Vision, IEEE Computer Society, pp. 1146-1153, Washington, DC, USA, 1998.
10. Li, K.; Wu, X.; Chen, D. Z.; Sonka, M.; Efficient optimal surface detection: Theory, implementation and experimental validation. Proceedings of SPIE Int'l Symp. Medical Imaging: Image Processing 5370:620-627, 2004.
11. Li, K.; Wu, X.; Chen, D. Z.; Sonka, M.; Globally optimal segmentation of interacting surfaces with geometric constraints. Proc. IEEE CS Conf. Computer Vision and Pattern Recognition (CVPR) 1:394-399, 2004.
12. Li, K.; Wu, X.; Chen, D. Z.; Sonka, M.; Optimal surface segmentation in volumetric images-a graph-theoretic approach. IEEE Trans. Pattern Anal. Mach. Intell. 28(1):119-134, 2006.
13. Boykov, Y.; Kolmogorov, V.; An experimental comparison of min-cut/max-flow algorithms for energy minimization in vision. IEEE Trans. Pattern Anal. Mach. Intell. 26(9):1124-1137, 2004.
14. Vezhnevets, V.; Konouchine, V.; GrowCut - interactive multi-label N-D image segmentation. Proc. Graphicon, 150-156, 2005.
15. Slicer - GrowCutSegmentation http://www.slicer.org/slicerWiki/index.php/ Modules:GrowCutSegmentation-Documentation-3.6, Last access: 4-13-2011.
16. Reese, L.; Intelligent paint: region-based interactive image segmentation. Master's thesis. Department of Computer Science, Brigham Young University, Provo, UT, 1999.
17. Mortensen, E. N.; Barrett, W. A.; Interactive segmentation with intelligent scissors. Graph. Model Image Process 60(5):349-384, 1998.
18. Mortensen, E. N.; Barrett, W. A.; Toboggan-based intelligent scissors with a four-parameter edge model. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2452-2458, 1999.
19. Boykov, Y.; Jolly, M.-P.; Interactive graph cuts for optimal boundary and region segmentation of objects in n-d images. Proceedings of the International Conference on Computer Vision (ICCV) 1:105-112, 2001.
20. Rother, C.; Kolmogorov, V.; Blake, A.; Grabcut - interactive foreground extraction using iterated graph cuts. Proceedings of ACM Siggraph, 2004.
21. Moga, A.; Gabbouj, M.; A parallel marker based watershed transformation. IEEE International Conference on Image Processing (ICIP), II: 137-140, 1996.
22. Grady, L.; Fumka-Lea, G.; Multi-label image segmentation for medical applications based on graph-theoretic electrical potentials. ECCV Workshops CVAMIA and MMBIA, 230-245, 2004.
23. Heimann, T.; Thorn, M.; Kunert, T.; Meinzer, H.-P.; New methods for leak detection and contour correction in seeded region growing segmentation. In 20th ISPRS Congress, Istanbul 2004. Int. Arch. Photogram. Rem. Sens. XXXV:317-322, 2004.
24. Egger, J.; Bauer, M. H. A.; Kuhnt, D.; Freisleben, B.; Nimsky, Ch.; Pituitary adenoma segmentation. Proceedings of International Biosignal Processing Conference, Charité, Berlin, Germany, July 2010.
25. Zukic, Dz.; Egger, J.; Bauer, M. H. A.; Kuhnt, D.; Carl, B.; Freisleben, B.; Kolb, A.; Nimsky, Ch.; Preoperative volume determination for pituitary adenoma. Proceedings of SPIE Medical Imaging Conference, Orlando, Florida, USA, Feb. 2011.
26. Bauer, M. H. A.; et al.; A fast and robust graph-based approach for boundary estimation of fiber bundles relying on fractional anisotropy maps, 20th International Conference on Pattern Recognition (ICPR), Istanbul, Turkey, IEEE Computer Society, Aug. 2010.
27. Bauer, M. H. A. Egger, J.; Kuhnt, D.; Barbieri, S.; Klein, J.; Hahn, H. K.; Freisleben, B.; Nimsky, Ch.; A semi-automatic graph-based approach for determining the boundary of eloquent fiber bundles in the human brain, Proceedings of 44. Jahrestagung der DGBMT, Rostock, Germany, Oct. 2010.
28. Bauer,M. H. A.; Egger, J.; Kuhnt, D.; Barbieri, S.; Klein, J.; Hahn, H. K.; Freisleben, B.; Nimsky, Ch.; Ray-based and graph-based methods for fiber bundle boundary estimation. Proceedings of International Biosignal Processing Conference, Charité, Berlin, Germany, July 2010.
29. Egger, J.; Freisleben, B.; Setser, R.; Renapuraar, R.; Biermann, C.; O'Donnell, T.; Aorta segmentation for stent simulation, 12th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), Cardiovascular Interventional Imaging and Biophysical Modelling Workshop, 10 pages, London, UK, Sep. 2009.
30. Egger, J.; O'Donnell, T.; Hopfgartner, C.; Freisleben, B.; Graph-based tracking method for aortic thrombus segmentation. Proceedings of 4th European Congress for Medical and Biomedical Engineering, Engineering for Health, Antwerp, Belgium, Springer, pp. 584-587, 2008.
31. Renapurkar, R. D.; Setser, R. M.; O'Donnell, T. P.; Egger, J.; Lieber, M. L.; Desai, M. Y.; Stillman, A. E.; Schoenhagen, P.; Flamm, S. D.; Aortic volume as an indicator of disease progression in patients with untreated infrarenal abdominal aneurysm. Eur. J. Radiol.; 7 pages, Feb. 2011.
32. Egger, J.; Bauer, M. H. A.; Kuhnt, D.; Carl, B.; Kappus, C.; Freisleben, B.; Nimsky, Ch.; Nugget-cut: A segmentation scheme for spherically- and elliptically-shaped 3D objects, 32nd Annual Symposium of the German Association for Pattern Recognition (DAGM), LNCS 6376, pp. 383-392, Springer Press, Darmstadt, Germany, 2010.
33. Egger, J.; Bauer, M. H. A.; Kuhnt, D.; Kappus, C.; Carl, B.; Freisleben, B.; Nimsky, Ch.; A flexible semi-automatic approach for glioblastoma multiforme segmentation, Proceedings of International Biosignal Processing Conference, Charité, Berlin, Germany, 4 pages, July 2010.
34. Egger, J.; Zukic, Dz.; Bauer,M. H. A.; Kuhnt, D.; Carl, B.; Freisleben, B.; Kolb, A.; Nimsky, Ch.; A comparison of two human brain tumor segmentation methods for MRI data, Proceedings of 6th Russian-Bavarian Conference on Bio-Medical Engineering, State Technical University, Moscow, Russia, Nov. 2010.
35. Egger, J.; Kappus, C.; Freisleben, B.; Nimsky, Ch.; A medical software system for volumetric analysis of cerebral pathologies in magnetic resonance imaging (MRI) data. J. Med. Syst.; Springer, 13 pages, Mar. 2011.
36. Egger, J.; Mostarkic, Z.; Großkopf, S.; Freisleben, B.; A fast vessel centerline extraction algorithm for catheter simulation, 20th IEEE international symposium on computer- based medical systems, Maribor, Slovenia, pp. 177-182, IEEE Press, 2007.
37. Zou, K. H.; Warfield, S. K.; Bharatha, A.; Tempany, C. M. C.; Kaus, M. R.; Haker, S. J.; Wells, W. M.; Jolesz, F. A.; Kikinis, R.; Statistical validation of image segmentation quality based on a spatial overlap index: Scientific reports. Acad. Radiol. 11(2):178-189, 2004.
38. Sampat, M. P.; Wang, Z.; Markey, M. K.; Whitman, G. J.; Stephens, T. W.; Bovik, A. C.; Measuring intra- and inter-observer agreement in identifying and localizing structures in medical images. IEEE Inter. Conf. Image Processing, 2006.
39. Greiner, K.; et al.; Segmentation of aortic aneurysms in CTA-images with the statistic method of the active appearance models (in German), Bildverarbeitung für die Medizin (BVM), Berlin, Germany, Springer Press, pp. 51-55, 2008.