Segmentation by Adaptive Geodesic Active Contours

C.-F. Westin, L. M. Lorigo, O. D. Faugeras, W. E. L. Grimson, S. Dawson, A. Norbash, R. Kikinis
Proceedings of MICCAI 2000, Third International Conference on Medical Image Computing and Computer-Assisted Intervention
Pages 266-275
October 11-14, 2000

Download full paper

Abstract

This paper introduces the use of spatiallyad aptive components into the geodesic active contour segmentation method for application to volumetric medical images. These components are derived from local structure descriptors and are used both in regularization of the segmentation and in stabilization of the image-based vector field which attracts the contours to anatomical structures in the images. Theya re further used to incorporate prior knowledge about spatial location of the structures of interest. These components can potentiallydecrea se the sensitivityto parameter settings inside the contour evolution system while increasing robustness to image noise. We show segmentation results on blood vessels in magnetic resonance angiographyd ata and bone in computed tomographyd ata.

Incorporation of spatial priors into the auxiliary vector field, in conjunction with an active contour model. The surface used to initialize the evolution is shown first, followed by the results of the unconstrained evolution and of the constrained evolution.

Reference

Westin CF, Lorigo LM, Faugeras OD, Grimson WEL, Dawson S, Norbash A, Kikinis R. Segmentation by adaptive geodesic active contours. In AM DiGioia, S Delp, eds., Proceedings of MICCAI 2000, Third International Conference on Medical Image Computing and Computer-Assisted Intervention. Pittsburgh, 2000;266-275.

Bibtex entry

@InProceedings{westinMICCAI00,
  author         = {C.-F. Westin and L. M. Lorigo and O. D. Faugeras and W. E. 
                   L. Grimson and S. Dawson and A. Norbash and R. Kikinis},    
  title          = {Segmentation by Adaptive Geodesic Active Contours},        
  booktitle      = {Proceedings of MICCAI 2000, Third International Conference 
                   on Medical Image Computing and Computer-Assisted            
                   Intervention},                                              
  pages          = {266--275},                                                 
  editor         = {A. M. DiGioia and S. Delp},                                
  year           = 2000,                                                       
  address        = {Pittsburgh},                                               
  month          = {October 11-14}
}

Grants

NIH P41-RR13218 (NAC), CIMIT, NIH R01-RR11747, NSF IIS-9610249, NSF DMS-9872228, NSF ERC-8810274

Research areas

Vessles, PDE, Segmentation

Copyright Information

© Springer-Verlag (Berlin - Heidelberg - New York). Copyrights to this PDF document are held by Springer-Verlag. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the Springer-Verlag Publishing.

This material is presented electronically to ensure timely dissemination of scholarly and technical work. Certain rights are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the author and/or copyright holder.