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Bibliography

1
F.L. Bookstein,
The Measurement of Biological Shape and Shape Change, vol. 24,
Springer-Verlag: Lecture Notes in Biomathematics, New York, 1978.

2
F.L. Bookstein,
Morphometric Tools for Landmark Data,
Cambridge University Press, New York, 1991.

3
A.C. Evans, C. Beil, S. Marret, C.J. Thompson, and A. Hakim,
``Anatomical-functional correlation using an adjustable MRI-based region of interest atlas with positron emission tomography,''
Journal of Cerebral Blood Flow and Metabolism, vol. 8, pp. 513-530, 1988.

4
K. Rohr, M. Fornefett, and H.S. Stiehl,
``Approximating thin-plate splines for elastic registration: Integration of landmark errors and orientation attributes,''
in Information Processing in Medical Imaging, A. Kuba and M. Samal, Eds. June 1999, LCNS 1613, pp. 252-265, Springer-Verlag.

5
C.A. Davatzikos, J.L. Prince, and R.N. Bryan,
``Image registration based on boundary mapping,''
IEEE Trans. on Medical Imaging, vol. 15, no. 1, pp. 112-115, Feb 1996.

6
J.P. Thirion,
``Image matching as a diffusion process: an analogy with maxwell's demons,''
Medical Image Analysis, vol. 2, pp. 243-260, 1998.

7
G. Subsol,
``Crest lines for curve-based warping,''
In Toga [37], pp. 241-262.

8
C.A. Pelizzari, G.T.Y. Chen, D.R. Spelbring, R.R. Weichselbaum, and C.T. Chen,
``Accurate three-dimensional registration of CT, PET, and/or MR images of the brain,''
Journal of Computer Assisted Tomography, vol. 13(1), pp. 20-26, 1989.

9
P.M. Thompson and A.W. Toga,
``A surface-based technique for warping three-dimensional images of the brain,''
IEEE Transactions on Medical Imaging, vol. 15, no. 4, pp. 1-16, 1996.

10
N. Krahnstover and C. Lorenz,
``Development of a point based shape representation of arbitrary three-dimensional medical objects suitable for statistical shape modeling,''
in Medical Imaging 1999: Image Processing, K.M. Hanson, Ed., Feb. 1999, Proceedings of SPIE Vol. 3661, pp. 620-631.

11
J.H. Downs, J.L. Lancaster, and P.T. Fox,
``Surface-based spatial normalization using convex hulls,''
In Toga [37], pp. 263-282.

12
R. Bajcsy and S. Kovacic,
``Multiresolution Elastic Matching,''
Computer Vision, Graphics, and Image Processing, vol. 46, pp. 1-21, 1989.

13
R.P. Woods, J.C. Mazziotta, and S.R. Cherry,
``MRI-PET Registration with Automated Algorithm,''
Journal of Computer Assisted Tomography, vol. 17, no. 4, pp. 536-546, July/August 1993.

14
M.I. Miller, G.E. Christensen, Y. Amit, and U. Grenander,
``Mathematical textbook of deformable neuroanatomies,''
Proceedings of the National Academy of Sciences, vol. 90, no. 24, pp. 11944-48, Dec. 1993.

15
G.E. Christensen, R.D. Rabbitt, and M.I. Miller,
``Deformable templates using large deformation kinematics,''
IEEE Transactions on Image Processing, vol. 5, no. 10, pp. 1435-1447, Oct 1996.

16
D.L. Collins, P. Neelin, T.M. Peters, and A.C. Evans,
``Automatic 3D intersubject registration on MR volumetric data in standardized talairach space,''
Journal of Computer Assisted Tomography, vol. 18, no. 2, pp. 192-205, March/April 1994.

17
Y. Amit,
``A non-linear variational problem for image matching,''
SIAM Journal on Scientific Computation, vol. 15, no. 1, Jan. 1994.

18
J.C. Gee, L. Le Briquer, C. Barillot, and D.R. Haynor,
``Probabilistic matching of brain images,''
in Information Processing in Medical Imaging, Y. Bizais, C. Braillot, and R. Di Paola, Eds., vol. 3, pp. 113-125. Kluwer Academic Publishers, Boston, June 1995.

19
R.P. Woods, S.T Grafton, C.J. Holmes, S.R. Cherry, and J.C. Mazziotta,
``Automated Image Registration: I. General Methods and Intrasubject, Intramodality Validation,''
Journal of Computer Assisted Tomography, vol. 22, no. 1, pp. 139-152, 1998.

20
J. Ashburner and K.J. Friston,
``Spatial normalization,''
In Toga [37], pp. 27-44.

21
J. Ashburner, J.L.R. Andersson, and K.J. Friston,
``High-dimensional image registration using symmetric priors,''
NeuroImage, vol. 9, pp. 619-628, 1999.

22
I.L. Dryden and K.V. Mardia,
Statistical Shape Analysis,
Wiley, 1998.

23
F.L. Bookstein,
``Linear methods for nonlinear maps: Procrustes fits, thin-plate splines, and the biometric analysis of shape variability,''
In Toga [37], pp. 157-181.

24
J.T. Kent and K.V. Mardia,
``The link between kriging and thin-plate splines,''
in Probability, Statistics and Optimisation, F.P. Kelly, Ed. 1994, John Wiley and Sons.

25
S.C. Joshi, M.I. Miller, G.E. Christensen, A. Banerjee, T.A. Coogan, and U. Grenander,
``Hierarchical brain mapping via a generalized Dirichlet solution for mapping brain manifolds,''
in Vision Geometry IV, R.A. Melter, A.Y. Wu, F.L. Bookstein, and W.D. Green, Eds., 1995, Proceedings of SPIE Vol. 2573, pp. 278-289.

26
F.L. Bookstein and W.D.K. Green,
``Edge information at landmarks in medical images,''
in Visualization in Biomedical Computing 1992, Richard A. Robb, Ed. 1992, pp. 242-258, SPIE 1808.

27
S.C. Joshi,
Large deformation diffeomorphisms and Gaussian random fields for statistical characterization of brain sub-manifolds,
D.Sc. Dissertation, Department of Electrical Engineering, Sever Institute of Technology, Washington University, St. Louis, MO. 63130, Dec 1997.

28
M.I. Miller, S.C. Joshi, and G.E. Christensen,
``Large deformation fluid diffeomorphisms for landmark and image matching,''
In Toga [37], pp. 115-132.

29
S.C. Joshi and M. I. Miller,
``Landmark matching via large deformation diffeomorphisms,''
IEEE Transactions on Image Processing, vol. 9, no. 8, pp. 1357-1370, August 2000.

30
G.E. Christensen, S.C. Joshi, and M.I. Miller,
``Volumetric transformation of brain anatomy,''
IEEE Trans. on Med. Imaging, vol. 16, no. 6, pp. 864-877, December 1997.

31
J. Kybic,
Elastic Image Registration Using Parametric Deformation Models,
Ph.D. thesis, Swiss Federal Institute of Technology Lausanne, EPFL, Lausanne, Switzerland, 2001.

32
G.E. Christensen,
``Consistent linear-elastic transformations for image matching,''
in Information Processing in Medical Imaging, A. Kuba and M. Samal, Eds. June 1999, LCNS 1613, pp. 224-237, Springer-Verlag.

33
Hans J. Johnson,
``Method for consistent linear-elastic medical image registration,''
M.S. thesis, Department of Electrical and Computer Engineering, The University of Iowa, Iowa City, IA 52242, May 2000.

34
G.E. Christensen and H.J. Johnson,
``Consistent image registration,''
IEEE Transactions on Medical Imaging, vol. 20, no. 7, pp. 568-582, July 2001.

35
J. Talairach and P. Tournoux,
Co-Planar Stereotactic Atlas of the Human Brain,
Beorg Thieme Verlag, Stuttgart, 1988.

36
U. Grenander and M. I. Miller,
``Computational anatomy: An emerging discipline,''
Quarterly of Applied Mathematics, vol. LVI, no. 4, pp. 617-694, December 1998.

37
A. Toga, Ed.,
Brain Warping,
Academic Press, San Diego, 1999.



Xiujuan Geng 2002-07-04

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