Segmentation of Single-Figure Objects by Deformable M-reps (original) (raw)

Abstract

This paper describes the basis and behavior of segmentation of single figures in 3D by deformable m-reps models. Results are given for the segmentation of kidneys from CT and of hippocampi from MR images. Special focus is made on multi-scale-level stages of segmentation, on intrinsic correspondences under deformation that are provided by m-reps, and on the match against model-relative templates provided by both theoretical edge strength templates and templates derived from training images.

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Authors and Affiliations

1. Medical Image Display & Analysis Group, University of North Carolina, Chapel Hill, USA
   Stephen M. Pizer, Sarang Joshi, P. Thomas Fletcher, Martin Styner, Gregg Tracton & James Z. Chen

Authors

1. Stephen M. Pizer
2. Sarang Joshi
3. P. Thomas Fletcher
4. Martin Styner
5. Gregg Tracton
6. James Z. Chen

Editor information

Editors and Affiliations

1. Image Sciences Institute, University Medical Center Utrecht, Heidelberglaan 100, 3584 CX, Utrecht, The Netherlands
   Wiro J. Niessen & Max A. Viergever &

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© 2001 Springer-Verlag Berlin Heidelberg

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Pizer, S.M., Joshi, S., Fletcher, P.T., Styner, M., Tracton, G., Chen, J.Z. (2001). Segmentation of Single-Figure Objects by Deformable M-reps. In: Niessen, W.J., Viergever, M.A. (eds) Medical Image Computing and Computer-Assisted Intervention – MICCAI 2001. MICCAI 2001. Lecture Notes in Computer Science, vol 2208. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45468-3\_103

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• DOI: https://doi.org/10.1007/3-540-45468-3\_103
• Published: 05 October 2001
• Publisher Name: Springer, Berlin, Heidelberg
• Print ISBN: 978-3-540-42697-4
• Online ISBN: 978-3-540-45468-7
• eBook Packages: Springer Book Archive

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