Phase-Based User-Steered Image Segmentation (original) (raw)

Abstract

This paper presents a user-steered segmentation algorithm based on the livewire paradigm. Livewire is an image-feature driven method that finds the optimal path between user-selected image locations, thus reducing the need to manually define the complete boundary. We introduce an image feature based on local phase, which describes local edge symmetry independent of absolute gray value. Because phase is amplitude invariant, the measurements are robust with respect to smooth variations, such as bias field inhomogeneities present in all MR images. In order to enable validation of our segmentation method, we have created a system that continuously records user interaction and automatically generates a database containing the number of user interactions, such as mouse events, and time stamps from various editing modules. We have conducted validation trials of the system and obtained expert opinions regarding its functionality.

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Author information

Authors and Affiliations

  1. MIT AI Laboratory, Cambridge, MA, 02139, USA
    Lauren O’Donnell, Carl-Fredrik Westin & W. Eric L. Grimson
  2. Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA
    Carl-Fredrik Westin, Martha E. Shenton & Ron Kikinis
  3. Dept. of Signals and Communications, University of Las Palmas de Gran Canaria, Spain
    Juan Ruiz-Alzola

Authors

  1. Lauren O’Donnell
  2. Carl-Fredrik Westin
  3. W. Eric L. Grimson
  4. Juan Ruiz-Alzola
  5. Martha E. Shenton
  6. Ron Kikinis

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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O’Donnell, L., Westin, CF., Grimson, W.E.L., Ruiz-Alzola, J., Shenton, M.E., Kikinis, R. (2001). Phase-Based User-Steered Image Segmentation. 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\_122

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