Geodesic regression for image time-series

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

Volumn 6892 LNCS, Issue PART 2, 2011, Pages 655-662

  Niethammer, Marc ^a,b   Huang, Yang ^a   Vialard, François Xavier ^c  

^a UNIVERSITY OF NORTH CAROLINA   (United States)

^b BRIC ^*  (United Kingdom)

^c IMPERIAL COLLEGE LONDON   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

ADJOINT METHODS; COMPACT REPRESENTATION; GENERATIVE MODEL; GEODESIC PATHS; IMAGE PAIRS; IMAGE TIME-SERIES; IMAGE-BASED; INITIAL VALUES; JOINT ESTIMATION; JOINT ESTIMATION PROBLEMS; LEAST SQUARE; LOCAL AVERAGING; OPTIMIZATION PROBLEMS; PIECE-WISE; SECOND-ORDER DYNAMICS; SPATIO-TEMPORAL TRAJECTORIES;

APPROXIMATION ALGORITHMS; GEODESY; MEDICAL COMPUTING; TIME SERIES;

MEDICAL IMAGING;

ADULT; AGED; AGING; ALGORITHM; ARTICLE; BRAIN; BRAIN MAPPING; FACTUAL DATABASE; HUMAN; IMAGE PROCESSING; METHODOLOGY; MIDDLE AGED; PATHOLOGY; REGRESSION ANALYSIS; STATISTICAL MODEL; THEORETICAL MODEL; TIME;

ADULT; AGED; AGED, 80 AND OVER; AGING; ALGORITHMS; BRAIN; BRAIN MAPPING; DATABASES, FACTUAL; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; LEAST-SQUARES ANALYSIS; MIDDLE AGED; MODELS, STATISTICAL; MODELS, THEORETICAL; REGRESSION ANALYSIS; TIME FACTORS;

EID: 80053543534     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-23629-7_80     Document Type: Conference Paper

References (12)

1. Ashburner, J., Friston, K.J.: Diffeomorphic registration using geodesic shooting and Gauss-Newton optimisation. Neuroimage 55(3), 954-967 (2011)
2. Beg, M., Miller, M., Trouvé, A., Younes, L.: Computing large deformation metric mappings via geodesic flows of diffeomorphisms. IJCV 61(2), 139-157 (2005)
3. Davis, B., Fletcher, P., Bullitt, E., Joshi, S.: Population shape regression from random design data. In: ICCV, pp. 1-7 (2007)
4. Durrleman, S., Pennec, X., Trouvé, A., Gerig, G., Ayache, N.: Spatiotemporal atlas estimation for developmental delay detection in longitudinal datasets. In: Yang, G.Z., Hawkes, D., Rueckert, D., Noble, A., Taylor, C. (eds.) MICCAI 2009. LNCS, vol. 5761, pp. 297-304. Springer, Heidelberg (2009)
5. Fan, J.: Local linear regression smoothers and their minimax efficiencies. The Annals of Statistics 21(1), 196-216 (1993)
6. Joshi, S., Davis, B., Jomier, M., Gerig, G.: Unbiased diffeomorphic atlas construction for computational anatomy. Neuroimage 23, S151-S160 (2004)
7. Miller, M.I., Trouve, A., Younes, L.: Geodesic shooting for computational anatomy. Journal of Mathematical Imaging and Vision 24, 209-228 (2006)
8. Niethammer, M., Hart, G., Zach, C.: An optimal control approach for the registration of image time series. In: Conference on Decision and Control (CDC), pp. 2427-2434. IEEE, Los Alamitos (2009)
9. Qiu, A., Albert, M., Younes, L., Miller, M.I.: Time sequence diffeomorphic metric mapping and parallel transport track time-dependent shape changes. NeuroImage 45(1), S51-S60 (2009)
10. Vaillant, M., Miller, M.I., Younes, L., Trouvé, A.: Statistics on diffeomorphisms via tangent space representations. Neuroimage 23, S161-S169 (2004)
11. Vialard, F.X., Risser, L., Rueckert, D., Cotter, C.J.: Diffeomorphic 3D image registration via geodesic shooting using an efficient adjoint calculation (2011) (preprint)
12. Younes, L., Qiu, A., Winslow, R.L., Miller, M.I.: Transport of relational structures in groups of diffeomorphisms. Journal of Mathematical Imaging and Vision 32, 41-56 (2008)