A Curvature Sensitive Demon ' s Algorithm for Surface Registration

[1]  Jean-Philippe Thirion,et al.  Image matching as a diffusion process: an analogy with Maxwell's demons , 1998, Medical Image Anal..

[2]  Nicholas Ayache,et al.  Three-dimensional multimodal brain warping using the Demons algorithm and adaptive intensity corrections , 2001, IEEE Transactions on Medical Imaging.

[3]  M. Droske,et al.  An adaptive level set method for interactive segmentation of intracranial tumors , 2005, Neurological Research.

[4]  Nicholas Ayache,et al.  Understanding the "Demon's Algorithm": 3D Non-rigid Registration by Gradient Descent , 1999, MICCAI.

[5]  Larry L. Schumaker,et al.  Finite Elements: Theory, Fast Solvers, and Applications in Elasticity Theory , 2007 .

[6]  E. Haber,et al.  Intensity Gradient Based Registration and Fusion of Multi-modal Images , 2007, Methods of Information in Medicine.

[7]  D. Louis Collins,et al.  Retrospective evaluation of intersubject brain registration , 2003, IEEE Transactions on Medical Imaging.

[8]  D. Hill,et al.  Medical image registration , 2001, Physics in medicine and biology.

[9]  Nikos Paragios,et al.  Non-rigid registration using distance functions , 2003, Comput. Vis. Image Underst..

[10]  N. Ayache,et al.  Fast Non Rigid Matching by Gradient Descent: Study and Improvements of the "Demons" Algorithm , 1999 .

[11]  Bernhard Schölkopf,et al.  Object correspondence as a machine learning problem , 2005, ICML.

[12]  Baba C. Vemuri,et al.  Shape Modeling with Front Propagation: A Level Set Approach , 1995, IEEE Trans. Pattern Anal. Mach. Intell..

[13]  Jan Modersitzki,et al.  Numerical Methods for Image Registration , 2004 .

[14]  Tony F. Chan,et al.  Active contours without edges , 2001, IEEE Trans. Image Process..

[15]  Stefan Hildebrandt,et al.  The Lagrangian formalism , 1996 .

[16]  Nikos Paragios,et al.  Matching Distance Functions: A Shape-to-Area Variational Approach for Global-to-Local Registration , 2002, ECCV.

[17]  S. Osher,et al.  Level set methods: an overview and some recent results , 2001 .

[18]  Joe Y. Chang,et al.  Validation of an accelerated ‘demons’ algorithm for deformable image registration in radiation therapy , 2005, Physics in medicine and biology.

[19]  Nikos Paragios,et al.  Shape registration in implicit spaces using information theory and free form deformations , 2006, IEEE Transactions on Pattern Analysis and Machine Intelligence.

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

[21]  James C. Gee,et al.  Two algorithms for non-rigid image registration and their evaluation , 2003, SPIE Medical Imaging.

[22]  Rachid Deriche,et al.  Implicit Active Shape Models for 3D Segmentation in MR Imaging , 2004, MICCAI.

[23]  Bernhard Schölkopf,et al.  Support Vector Machines for 3D Shape Processing , 2005, Comput. Graph. Forum.

[24]  Olivier D. Faugeras,et al.  Reconciling Landmarks and Level Sets , 2006, 18th International Conference on Pattern Recognition (ICPR'06).

[25]  Kunibert G. Siebert,et al.  Design of Adaptive Finite Element Software - The Finite Element Toolbox ALBERTA , 2005, Lecture Notes in Computational Science and Engineering.

[26]  Y. Chen,et al.  Image registration via level-set motion: Applications to atlas-based segmentation , 2003, Medical Image Anal..

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