Phase-Based User-Steered Image Segmentation

L. O'Donnell, C.-F. Westin, W. E. L. Grimson, J. Ruiz-Alzola, M. E. Shenton, R. Kikinis
MICCAI, Utrecht, Netherlands
Fourth International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI'01)
Pages 1022-1030
October 14-17, 2001

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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.

A surface model of the liver, created from a phasewire segmentation, shows well-defined surfaces between the liver and the kidney and gallbladder.

Reference

O'Donnell L, Westin CF, Grimson WEL, Ruiz-Alzola J, Shenton ME, Kikinis R. Phase-based user-steered image segmentation. In W Niessen, ed., Fourth International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI'01). Utrecht, Netherlands: Springer Verlag, 2001;1022-1030.

Bibtex entry

@InProceedings{odonnellMICCAI01,
  author         = {L. O'Donnell and C.-F. Westin and W. E. L. Grimson and  J. 
                   Ruiz-Alzola and M. E. Shenton and R. Kikinis},              
  title          = {Phase-Based User-Steered Image Segmentation},              
  booktitle      = {Fourth International Conference on Medical Image Computing 
                   and Computer-Assisted Intervention (MICCAI'01)},            
  pages          = {1022--1030},                                               
  year           = 2001,                                                       
  editor         = {W. Niessen},                                               
  address        = {Utrecht, Netherlands},                                     
  month          = {October 14--17},                                           
  publisher      = {Springer Verlag}
}

Grants

NIH P41-RR13218 (NAC), CIMIT, NIH R01-RR11747, NIH K02-MH01110, NIH R01-MH50747, 1FD97-0881-C02

Research areas

Segmentation, Phase

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