Groupwise segmentation with multi-atlas joint label fusion

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

Volumn 8149 LNCS, Issue PART 1, 2013, Pages 711-718

  Wang, Hongzhi ^a   Yushkevich, Paul A ^a  

^a UNIVERSITY OF PENNSYLVANIA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BETTER PERFORMANCE; HIPPOCAMPUS SEGMENTATION; LABEL FUSIONS; LABEL PROPAGATION; SEGMENTATION TECHNIQUES; STATISTICAL MODELING;

MAGNETIC RESONANCE IMAGING;

IMAGE SEGMENTATION;

ALGORITHM; ARTICLE; AUTOMATED PATTERN RECOGNITION; BIOLOGICAL MODEL; COMPUTER ASSISTED DIAGNOSIS; COMPUTER SIMULATION; HIPPOCAMPUS; HISTOLOGY; HUMAN; IMAGE ENHANCEMENT; IMAGE SUBTRACTION; METHODOLOGY; NUCLEAR MAGNETIC RESONANCE IMAGING; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; STATISTICAL ANALYSIS; STATISTICAL MODEL; THREE DIMENSIONAL IMAGING;

ALGORITHMS; COMPUTER SIMULATION; DATA INTERPRETATION, STATISTICAL; HIPPOCAMPUS; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; IMAGING, THREE-DIMENSIONAL; MAGNETIC RESONANCE IMAGING; MODELS, NEUROLOGICAL; MODELS, STATISTICAL; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; SUBTRACTION TECHNIQUE;

EID: 84894620675     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-40811-3_89     Document Type: Conference Paper

References (15)

1. Artaechevarria, X., Munoz-Barrutia, A., de Solorzano, C.O.: Combination strategies in multi-atlas image segmentation: Application to brain MR data. IEEE TMI 28(8), 1266-1277 (2009)
2. Bansal, R., Staib, L.H., Chen, Z., Rangarajan, A., Knisely, J.P.S., Nath, R., Duncan, J.S.: Entropy-based, multiple-portal-to-3D CT registration for prostate radiotherapy using iteratively estimated segmentation. In: Taylor, C., Colchester, A. (eds.) MICCAI 1999. LNCS, vol. 1679, pp. 567-578. Springer, Heidelberg (1999)
3. Besag, J.: Statistical analysis of non-lattice data. J. R. Statist. Soc. B 24(3), 179-195 (1975)
4. Collins, D., Pruessner, J.: Towards accurate, automatic segmentation of the hippocampus and amygdala from MRI by augmenting ANIMAL with a template library and label fusion. Neuroimage 52(4), 1355-1366 (2010)
5. Heckemann, R., Hajnal, J., Aljabar, P., Rueckert, D., Hammers, A.: Automatic anatomical brain MRI segmentation combining label propagation and decision fusion. Neuroimage 33, 115-126 (2006)
6. Jia, H., Yap, P., Shen, D.: Iterative multi-atlas-based multi-image segmentation with tree-based registration. Neuroimage 59(1), 422-430 (2012)
7. Kapur, T., Yezzi, L., Zollei, L.: A variational framework for joint segmentation and registration. In: IEEE CVPR - MMBIA, pp. 44-51 (2001)
8. Leung, K., Barnes, J., Ridgway, G., Bartlett, J., Clarkson, M., Macdonald, K., Schuff, N., Fox, N., Ourselin, S.: Automated cross-sectional and longitudinal hippocampal volume measurement in mild cognitive impairment and Alzheimer's Disease. Neuroimage 51, 1345-1359 (2010)
9. van der Lijn, F., de Bruijne, M., Klein, S., den Heijer, T., Hoogendam, Y.Y., van der Lugt, A., Breteler, M.M., Niessen, W.J.: Automated brain structure segmentation based on atlas registration and appearance models. IEEE Transactions on Medical Imaging 31(2), 276-286 (2012)
10. Lord, N.A., Ho, J., Vemuri, B.C.: Ussr: A unified framework for simultaneous smoothing, segmentation, and registration of multiple images. In: ICCV (2007)
11. Lotjonen, J., Wolz, R., Koikkalainen, J., Thurfjell, L., Waldemar, G., Soininen, H., Rueckert, D.: Fast and robust multi-atlas segmentation of brain magnetic resonance images. Neuroimage 49(3), 2352-2365 (2010)
12. Raviv, T.R., Leemput, K.V., Menze, B., Wells, W.M., Golland, P.: Joint segmentation of image ensembles via latent atlases. MedIA 14, 654-665 (2010)
13. Sabuncu, M., Yeo, B., Leemput, K.V., Fischl, B., Golland, P.: A generative model for image segmentation based on label fusion. IEEE TMI 29(10), 1714-1720 (2010)
14. Wang, H., Suh, J.W., Das, S., Pluta, J., Craige, C., Yushkevich, P.: Multi-atlas segmentation with joint label fusion. IEEE Trans. on PAMI 35(3), 611-623 (2013)
15. Wolz, R., Aljabar, P., Hajnal, J., Hammers, A., Rueckert, D.: Leap: Learning embeddings for atlas propagation. Neuroimage 49(2), 1316-1325 (2010)