Fast Musculoskeletal Registration Based on Shape Matching

This paper presents a new method for computing elastic and plastic deformations in the context of discrete deformable model-based registration. Internal forces are estimated by averaging local transforms between reference and current particle positions. Our technique can accommodate large non-linear deformations, and is unconditionally stable. Moreover, it is simple to implement and versatile. We show how to tune model stiffness and computational cost, which is important for efficient registration, and demonstrate our technique in the complex problem of inter-patient musculoskeletal registration.

[1]  S. Delp,et al.  Image‐based musculoskeletal modeling: Applications, advances, and future opportunities , 2007, Journal of magnetic resonance imaging : JMRI.

[2]  Mathieu Desbrun,et al.  Generalized Surface Flows for Deformable Registration and Cortical Matching , 2007, MICCAI.

[3]  Nicholas Ayache,et al.  A Log-Euclidean Polyaffine Framework for Locally Rigid or Affine Registration , 2006, WBIR.

[4]  Nadia Magnenat-Thalmann,et al.  Anatomical Modelling of the Musculoskeletal System from MRI , 2006, MICCAI.

[5]  Robert B. Fisher,et al.  A Comparison of Four Algorithms for Estimating 3-D Rigid Transformations , 1995, BMVC.

[6]  Johan Montagnat,et al.  4D deformable models with temporal constraints: application to 4D cardiac image segmentation , 2005, Medical Image Anal..

[7]  Olga Sorkine-Hornung,et al.  On Linear Variational Surface Deformation Methods , 2008, IEEE Transactions on Visualization and Computer Graphics.

[8]  Lawrence H. Staib,et al.  Articulated Rigid Registration for Serial Lower-Limb Mouse Imaging , 2005, MICCAI.

[9]  Nicholas Ayache,et al.  Medical Image Computing and Computer-Assisted Intervention - MICCAI 2007, 10th International Conference, Brisbane, Australia, October 29 - November 2, 2007, Proceedings, Part I , 2007, MICCAI.

[10]  Johan Montagnat,et al.  A review of deformable surfaces: topology, geometry and deformation , 2001, Image Vis. Comput..

[11]  Markus H. Gross,et al.  Meshless deformations based on shape matching , 2005, ACM Trans. Graph..

[12]  Doug L. James,et al.  FastLSM: fast lattice shape matching for robust real-time deformation , 2007, ACM Trans. Graph..

[13]  Guido Gerig,et al.  Medical Image Computing and Computer-Assisted Intervention - MICCAI 2005, 8th International Conference, Palm Springs, CA, USA, October 26-29, 2005, Proceedings, Part II , 2005, MICCAI.

[14]  Jean-Philippe Pons,et al.  Generalized Gradients: Priors on Minimization Flows , 2007, International Journal of Computer Vision.

[15]  Lasse Riis Østergaard,et al.  Active Surface Approach for Extraction of the Human Cerebral Cortex from MRI , 2006, MICCAI.

[16]  FedkiwRonald,et al.  Creating and Simulating Skeletal Muscle from the Visible Human Data Set , 2005 .

[17]  M. Teschner,et al.  Meshless deformations based on shape matching , 2005, SIGGRAPH 2005.