Metamorphic geodesic regression

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

Volumn 7512 LNCS, Issue , 2012, Pages 197-205

  Hong, Yi ^a   Joshi, Sarang ^c   Sanchez, Mar ^d   Styner, Martin ^a   Niethammer, Marc ^a,b  

^a UNIVERSITY OF NORTH CAROLINA   (United States)

^b UNIVERSITY OF NORTH CAROLINA SCHOOL OF MEDICINE   (United States)

^c UNIVERSITY OF UTAH   (United States)

^d EMORY UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

GEODESY; MEDICAL COMPUTING; MEDICAL IMAGING; REGRESSION ANALYSIS;

APPROXIMATED SOLUTIONS; IMAGE METAMORPHOSIS; IMAGE TIME-SERIES; INTENSITY CHANGE; MYELINATION; SHOOTING METHODS; SPATIAL TRANSFORMATION; WEIGHTED AVERAGES;

MAGNETIC RESONANCE IMAGING;

AGING; ALGORITHM; ANIMAL; ARTICLE; BRAIN; COMPUTER ASSISTED DIAGNOSIS; DIFFUSION TENSOR IMAGING; GROWTH, DEVELOPMENT AND AGING; HISTOLOGY; MACACA; METHODOLOGY; MORPHOGENESIS; PATHOLOGY; PHYSIOLOGY; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY;

AGING; ALGORITHMS; ANIMALS; BRAIN; DIFFUSION TENSOR IMAGING; IMAGE INTERPRETATION, COMPUTER-ASSISTED; MACACA; MORPHOGENESIS; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY;

MLCS; MLOWN;

EID: 84872932362     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-33454-2_25     Document Type: Conference Paper

References (19)

1. Fletcher, T.: Geodesic regression on Riemannian manifolds. In: MICCAI Workshop on Mathematical Foundations of Computational Anatomy, pp. 75–86 (2011)
2. Trouvé, A., Vialard, F.: A second-order model for time-dependent data interpolation: Splines on shape spaces. In: Workshop STIA-MICCAI (2010)
3. Niethammer, M., Huang, Y., Vialard, F.-X.: Geodesic Regression for Image Time-Series. In: Fichtinger, G., Martel, A., Peters, T. (eds.) MICCAI 2011, Part II. LNCS, vol. 6892, pp. 655–662. Springer, Heidelberg (2011)
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, Part I. LNCS, vol. 5761, pp. 297–304. Springer, Heidelberg (2009)
5. Fishbaugh, J., Durrleman, S., Gerig, G.: Estimation of Smooth Growth Trajectories with Controlled Acceleration from Time Series Shape Data. In: Fichtinger, G., Martel, A., Peters, T. (eds.) MICCAI 2011, Part II. LNCS, vol. 6892, pp. 401–408. Springer, Heidelberg (2011)
6. Rohlfing, T., Sullivan, E.V., Pfefferbaum, A.: Regression Models of Atlas Appearance. In: Prince, J.L., Pham, D.L., Myers, K.J. (eds.) IPMI 2009. LNCS, vol. 5636, pp. 151–162. Springer, Heidelberg (2009)
7. Holm, D.D., Trouvé, A., Younes, L.: The Euler-Poincaré theory of metamorphosis. Quarterly of Applied Mathematics 67, 661–685 (2009)
8. Miller, M.I., Younes, L.: Group actions, homeomorphisms, and matching: A general framework. International Journal of Computer Vision 41, 61–84 (2001)
9. Hong, Y., Shi, Y., Styner, M., Sanchez, M., Niethammer, M.:Simple Geodesic Regression for Image Time-Series. In: Dawant, B.M., Christensen, G.E., Fitzpatrick, J.M., Rueckert, D. (eds.) WBIR 2012. LNCS, vol. 7359, pp. 11–20. Springer, Heidelberg (2012)
10. Gupta, S.N., Prince, J.L.: On variable brightness optical flow for tagged MRI. In: IPMI, pp. 323–334 (1995)
11. Friston, K., Ashburner, J., Frith, C., Poline, J., Heather, J., Frackowiak, R.: Spatial registration and normalization of images. Hum. Brain Mapp. 3(3), 165–189 (1995)
12. Periaswamy, S., Farid, H.: Elastic registration in the presence of intensity variations. IEEE Trans. Med. Imaging 22(7), 865–874 (2003)
13. Nocedal, J., Wright, S.: Numerical optimization. Springer (1999)
14. Garcin, L., Younes, L.: Geodesic Image Matching: A Wavelet Based Energy Minimization Scheme. In: Rangarajan, A., Vemuri, B.C., Yuille, A.L. (eds.) EMMCVPR 2005. LNCS, vol. 3757, pp. 349–364. Springer, Heidelberg (2005)
15. Vialard, F., Risser, L., Rueckert, D., Cotter, C.: Diffeomorphic 3D image registration via geodesic shooting using an efficient adjoint calculation. International Journal of Computer Vision 97(2), 229–241 (2012)
16. Ashburner, J., Friston, K.: Diffeomorphic registration using geodesic shooting and Gauss-Newton optimization. Neuroimage 55(3), 954–967 (2011)
17. Beg, M., Miller, M., Trouvé, A., Younes, L.: Computing large deformation metric mappings via geodesic flows of diffeomorphisms. IJCV 61(2), 139–157 (2005)
18. Hart, G.L., Zach, C., Niethammer, M.: An optimal control approach for deformable registration. In: MMBIA, pp. 9–16 (2009)
19. Risser, L., Vialard, F., Wolz, R., Murgasova, M., Holm, D., Rueckert, D.: Simultaneous multiscale registration using large deformation diffeomorphic metric mapping. IEEE Transactions on Medical Imaging 30(10), 1746–1759 (2011)