Geodesic information flows

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

Volumn 7511 LNCS, Issue , 2012, Pages 262-270

  Cardoso, M Jorge ^a   Wolz, Robin ^b   Modat, Marc ^a   Fox, Nick C ^a   Rueckert, Daniel ^b   Ourselin, Sebastien ^a  

^a UNIVERSITY COLLEGE LONDON   (United Kingdom)

^b IMPERIAL COLLEGE LONDON   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

MEDICAL COMPUTING;

BRAIN SEGMENTATION; DATA EMBEDDING; INFORMATION FLOWS; LARGE DATABASE; PROPAGATION METHOD; SIMILAR IMAGE; SOURCES OF INFORMATIONS; STATE OF THE ART;

MEDICAL IMAGING;

ALGORITHM; ARTICLE; BRAIN; COMPUTER ASSISTED DIAGNOSIS; DATA BASE; HISTOLOGY; HOSPITAL INFORMATION SYSTEM; HUMAN; INFORMATION RETRIEVAL; METHODOLOGY; NUCLEAR MAGNETIC RESONANCE IMAGING; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY;

ALGORITHMS; BRAIN; DATABASE MANAGEMENT SYSTEMS; HUMANS; IMAGE INTERPRETATION, COMPUTER-ASSISTED; INFORMATION STORAGE AND RETRIEVAL; MAGNETIC RESONANCE IMAGING; RADIOLOGY INFORMATION SYSTEMS; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY;

EID: 84872936110     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-33418-4_33     Document Type: Conference Paper

References (12)

1. Rohlfing, T., Russakoff, D.B., Maurer, C.R.: Performance-based classifier combination in atlas-based image segmentation using expectation-maximization parameter estimation. IEEE Transactions on Medical Imaging 23(8), 983–994 (2004)
2. Aljabar, P., Heckemann, R.A., Hammers, A., Hajnal, J.V., Rueckert, D.: Multi-atlas based segmentation of brain images: atlas selection and its effect on accuracy. NeuroImage 46(3), 726–738 (2009)
3. Hammers, A., Chen, C., Lemieux, L.: Statistical neuroanatomy of the human inferior frontal gyrus and probabilistic atlas in a stereotaxic space. HBM (2007)
4. Heckemann, R.A., Keihaninejad, S., Aljabar, P.: Improving intersubject image registration using tissue-class information benefits robustness and accuracy of multiatlas based anatomical segmentation. NeuroImage (51), 221–227 (2010)
5. Cardoso, M.J., Modat, M., Keihaninejad, S., Cash, D., Ourselin, S.: Multi-STEPS: Multi-label Similarity and Truth Estimation for Propagated Segmentations. In: MMBIA, pp. 153–158 (2012)
6. Wolz, R., Aljabar, P., Hajnal, J.V., Hammers, A., Rueckert, D.: Alzheimer’s Disease Neuroimaging Initiative: LEAP: learning embeddings for atlas propagation. NeuroImage 49(2), 1316–1325 (2010)
7. Hamm, J., Ye, D.H., Verma, R., Davatzikos, C.: GRAM: A framework for geodesic registration on anatomical manifolds. MedIA 14(5), 633–642 (2010)
8. Gerber, S., Tasdizen, T., Joshi, S., Whitaker, R.: On the Manifold Structure of the Space of Brain Images. In: Yang, G.-Z., Hawkes, D., Rueckert, D., Noble, A., Taylor, C. (eds.) MICCAI 2009, Part I. LNCS, vol. 5761, pp. 305–312. Springer, Heidelberg (2009)
9. Kondor, R.I., Lafferty, J.: Diffusion kernels on graphs and other discrete input spaces. In: ICML (January 2002)
10. Modat, M., Cardoso, M.J., Daga, P., Cash, D., Fox, N.C., Ourselin, S.: Inverse- Consistent Symmetric Free Form Deformation. In: Dawant, B.M., Christensen, G.E., Fitzpatrick, J.M., Rueckert, D. (eds.) WBIR 2012. LNCS, vol. 7359, pp. 79–88. Springer, Heidelberg (2012)
11. Souvenir, R., Pless, R.: Image distance functions for manifold learning. Image and Vision Computing 25(3), 365–373 (2007)
12. Yushkevich, P.A., Wang, H., Pluta, J., Das, S.R., Craige, C., Avants, B.B., Weiner, M.W., Mueller, S.: Nearly automatic segmentation of hippocampal subfields in in vivo focal T2-weighted MRI. NeuroImage 53(4), 1208–1224 (2010)