Co-Dimension 2 Geodesic Active Contours for MRA Segmentation

L. M. Lorigo, O. D. Faugeras, W. E. L. Grimson, R. Keriven, R. Kikinis, C.-F. Westin
Int'l Conf. Information Processing in Medical Imaging (IPMI'99)
Pages 126-133
June 28 - July 2, 1999

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Automatic and semi-automatic magnetic resonance angiography (MRA) segmentation techniques can potentially save radiologists large amounts of time required for manual segmentation and can facilitate further data analysis. The proposed MRA segmentation method uses a mathematical modeling technique which is well-suited to the complicated curve-like structure of blood vessels. We define the segmentation task as an energy minimization over all 3D curves and use a level set method to search for a solution. Our approach is an extension of previous level set segmentation techniques to higher co-dimension.

Results on three datasets are shown. For each image pair, the first image is the maximum intensity projection of the raw data, the second is the segmentation result from thresholding only and the third is the segmentation result using our method.
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Lorigo LM, Faugeras OD, Grimson WEL, Keriven R, Kikinis R, Westin CF. Co-dimension 2 geodesic active contours for mra segmentation. In Int'l Conf. Information Processing in Medical Imaging (IPMI'99). Visegr\'ad, Hungary, 1999;126-133. Best Paper Award.

Bibtex entry

  author         = {L. M. Lorigo and O. D. Faugeras and W. E. L. Grimson and   
                   R. Keriven and R. Kikinis and C.-F. Westin},                
  title          = {Co-Dimension 2 Geodesic Active Contours for MRA            
  booktitle      = {Int'l Conf. Information Processing in Medical Imaging      
  pages          = {126--133},                                                 
  year           = 1999,                                                       
  address        = {Visegr\'ad, Hungary},                                      
  month          = {June 28 - July 2},                                         
  note           = {Best Paper Award}


NIH P41-RR13218 (NAC), CIMIT, NSF IIS-9610249, NSF ERC-8810274

Research areas

Vessels, Segmentation