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Meeting topics

  • More detailed project brainstorming / thoughts / questions:
    • Apply slipping-organ motion field regularization to vessel-based registration?
      • Simultaneous registration of multiple vessel trees (e.g. from different organs) with slipping registration?
      • Or combination of vessel-based registration with intensity-based registration?
      • How well do non-rigid registrations based on vessels apply to organ surfaces?
    • Likelihood of vessels sliding along each other?
      • Unlikely?
    • Discontinuities in 4D image registration, ex. fast changes that look discontinuous due to sampling rate?
      • Smoothing in time?
      • Discontinuous because one organ moves much faster than its neighbor? (ex. heart, lung, etc)
    • Non-rigid registration despite occlusions from surgical tools
      • Unobtrusive registration between intraoperative and preoperative images, ex. for registration updates during surgery
      • Ex intraoperative fluoro (both tools and vessels are dark?) (US: tools bright, vessels black)
      • Perhaps rigid registration can overcome tool occlusion, but what to do in non-rigid registration?
        • But how often is non-rigid registration used intraoperatively nowadays? Thinking ahead...
      • Alternative: track tools (tracking system / image-based) and then mask them out so that they are not considered during registration.
        • What would be the advantage to incorporating it into the registration?
      • Or, how well does vessel centerline extraction cope with tools in the field of view?
        • Probably would do ok... tested? (could test artificially)
    • Characterizing sliding motion, for additional constraints / anatomically-based strategies
        • already extensively studied for respiration



  • built VMTK / Slicer /w VMTK modules
  • read Schmidt-Richberg et al., Slipping objects in image registration: Improved motion field estimation with direction-dependent regularization, MICCAI 2009
  • looked over Marc's notes
  • brainstorming


  • Preliminary results from tumor microenvironment segmentation
  • Slicer built with VMTK modules
  • Learning execution model of Slicer
  • Reviewing papers from Dr. Bullitt on tortuosity