Robust non-local multi-atlas segmentation of the optic nerve

Progress in Biomedical Optics and Imaging - Proceedings of SPIE

Volumn 8669, Issue , 2013, Pages

  Asman, Andrew J ^a,b   Delisi, Michael P ^b   Mawn, Louise A ^a   Galloway, Robert L ^b   Landman, Bennett A ^b  

^a VANDERBILT UNIVERSITY   (United States)

^b VANDERBILT UNIVERSITY   (United States)

Author keywords

Computed tomography; Multi atlas segmentation; Non local staple; Optic nerve

Indexed keywords

COMPUTED TOMOGRAPHY; MANUAL INTERVENTION; NONLOCAL; OPTIC NERVE; PATHOLOGICAL CONDITIONS; PATHOLOGICAL DISORDERS; ROBUST SEGMENTATION; SEGMENTATION PROCEDURE;

ALGORITHMS; COMPUTERIZED TOMOGRAPHY; EYE PROTECTION; MEDICAL IMAGING; OPTICAL DATA PROCESSING;

IMAGE SEGMENTATION;

EID: 84878337454     PISSN: 16057422     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1117/12.2007015     Document Type: Conference Paper

References (15)

1. J. H. Noble, and B. M. Dawant, "An atlas-navigated optimal medial axis and deformable model algorithm (NOMAD) for the segmentation of the optic nerves and chiasm in MR and CT images, " Medical Image Analysis, 15(6), 877-884 (2011).
2. J. C. Gee, M. Reivich, and R. Bajcsy, "Elastically deforming a three-dimensional atlas to match anatomical brain images, " Journal of Computer Assisted Tomography, 17(2), 225-236 (1993).
3. R. A. Heckemann, J. V. Hajnal, P. Aljabar, D. Rueckert, and A. Hammers, "Automatic anatomical brain MRI segmentation combining label propagation and decision fusion, " NeuroImage, 33(1), 115-126 (2006).
4. T. Rohlfing, D. B. Russakoff, and C. R. Maurer, "Performance-based classifier combination in atlas-based image segmentation using expectation-maximization parameter estimation, " IEEE Transactions on Medical Imaging, 23(8), 983-994 (2004).
5. A. J. Asman, and B. A. Landman, "Formulating Spatially Varying Performance in the Statistical Fusion Framework, " IEEE Transactions on Medical Imaging, 31(6), 1326 - 1336 (2012).
6. S. K. Warfield, K. H. Zou, and W. M. Wells, "Simultaneous truth and performance level estimation (STAPLE): an algorithm for the validation of image segmentation, " IEEE Transactions on Medical Imaging, 23(7), 903-921 (2004).
7. M. R. Sabuncu, B. T. T. Yeo, K. Van Leemput, B. Fischl, and P. Golland, "A generative model for image segmentation based on label fusion, " IEEE Transactions on Medical Imaging, 29(10), 1714-1729 (2010).
8. A. Isambert, F. Dhermain, F. Bidault, O. Commowick, P. Y. Bondiau, G. Malandain, and D. Lefkopoulos, "Evaluation of an atlas-based automatic segmentation software for the delineation of brain organs at risk in a radiation therapy clinical context, " Radiotherapy and Oncology, 87(1), 93-99 (2008).
9. M. Gensheimer, A. Cmelak, K. Niermann, and B. M. Dawant, "Automatic delineation of the optic nerves and chiasm on CT images, " SPIE Medical Imaging. 6512, 651216.(2007).
10. A. J. Asman, and B. A. Landman, "Non-Local STAPLE: An Intensity-Driven Multi-Atlas Rater Model, " Medical Image Computing and Computer-Assisted Intervention (MICCAI). 7512, 417-424.(2012).
11. A. Buades, B. Coll, and J. M. Morel, "A non-local algorithm for image denoising, " Computer Vision and Pattern Recognition (CVPR). 2, 60-65.(2005).
12. M. Jenkinson, and S. Smith, "A global optimisation method for robust affine registration of brain images, " Medical Image Analysis, 5(2), 143-156 (2001).
13. B. A. Ardekani, M. Braun, B. F. Hutton, I. Kanno, and H. Iida, "A fully automatic multimodality image registration algorithm, " Journal of Computer Assisted Tomography, 19(4), 615 (1995).
14. J. M. P. Lotjonen, R. Wolz, J. R. Koikkalainen, L. Thurfjell, G. Waldemar, H. Soininen, and D. Rueckert, "Fast and robust multi-atlas segmentation of brain magnetic resonance images, " NeuroImage, 49(3), 2352-2365 (2010).
15. H. Wang, S. R. Das, J. W. Suh, M. Altinay, J. Pluta, C. Craige, B. Avants, and P. A. Yushkevich, "A learningbased wrapper method to correct systematic errors in automatic image segmentation: consistently improved performance in hippocampus, cortex and brain segmentation, " NeuroImage, 55(3), 968-985 (2011).