Geodesic estimation for large deformation anatomical shape averaging and interpolation

[1]  Terry S. Yoo,et al.  Insight into Images: Principles and Practice for Segmentation, Registration, and Image Analysis , 2004 .

[2]  Brian B. Avants,et al.  Symmetric Geodesic Shape Averaging and Shape Interpolation , 2004, ECCV Workshops CVAMIA and MMBIA.

[3]  Brian B. Avants,et al.  Shape averaging with diffeomorphic flows for atlas creation , 2004, 2004 2nd IEEE International Symposium on Biomedical Imaging: Nano to Macro (IEEE Cat No. 04EX821).

[4]  Peter Lorenzen,et al.  Large deformation minimum mean squared error template estimation for computational anatomy , 2004, 2004 2nd IEEE International Symposium on Biomedical Imaging: Nano to Macro (IEEE Cat No. 04EX821).

[5]  Alain Pitiot,et al.  A multimodal, multidimensional atlas of the C57BL/6J mouse brain , 2004, Journal of anatomy.

[6]  Stefano Soatto,et al.  Deformotion: Deforming Motion, Shape Average and the Joint Registration and Approximation of Structures in Images , 2003, International Journal of Computer Vision.

[7]  Michael I. Miller,et al.  Group Actions, Homeomorphisms, and Matching: A General Framework , 2004, International Journal of Computer Vision.

[8]  P. Thomas Fletcher,et al.  Gaussian Distributions on Lie Groups and Their Application to Statistical Shape Analysis , 2003, IPMI.

[9]  Y. Agid,et al.  Localization of stimulating electrodes in patients with Parkinson disease by using a three-dimensional atlas-magnetic resonance imaging coregistration method. , 2003, Journal of neurosurgery.

[10]  Alain Pitiot,et al.  Atlas of the C57BL/6 mouse brain: A multimodal, multidimensional approach , 2002 .

[11]  L. Younes,et al.  On the metrics and euler-lagrange equations of computational anatomy. , 2002, Annual review of biomedical engineering.

[12]  Gary E. Christensen,et al.  Landmark and Intensity-Based, Consistent Thin-Plate Spline Image Registration , 2001, IPMI.

[13]  Pierre Hellier,et al.  Hierarchical estimation of a dense deformation field for 3-D robust registration , 2001, IEEE Transactions on Medical Imaging.

[14]  Jean Meunier,et al.  Average Brain Models: A Convergence Study , 2000, Comput. Vis. Image Underst..

[15]  Daniel Rueckert,et al.  Nonrigid registration using free-form deformations: application to breast MR images , 1999, IEEE Transactions on Medical Imaging.

[16]  U. Grenander,et al.  Computational anatomy: an emerging discipline , 1998 .

[17]  E H Herskovits,et al.  A brain image database for structure/function analysis. , 1998, AJNR. American journal of neuroradiology.

[18]  Paul Dupuis,et al.  Variational problems on ows of di eomorphisms for image matching , 1998 .

[19]  James C. Gee,et al.  Design of a Statistical Model of Brain Shape , 1997, IPMI.

[20]  David Metcalf,et al.  A Digital Brain Atlas for Surgical Planning, Model-Driven Segmentation, and Teaching , 1996, IEEE Trans. Vis. Comput. Graph..

[21]  James C. Gee,et al.  Rapid coarse-to-fine matching using scale-specific priors , 1996, Medical Imaging.

[22]  Timothy F. Cootes,et al.  Active Shape Models-Their Training and Application , 1995, Comput. Vis. Image Underst..

[23]  M I Miller,et al.  Mathematical textbook of deformable neuroanatomies. , 1993, Proceedings of the National Academy of Sciences of the United States of America.

[24]  A. N. Tikhonov,et al.  Solutions of ill-posed problems , 1977 .

[25]  O. Zienkiewicz.  The Finite Element Method In Engineering Science , 1971 .