Difference between revisions of "2008 IGT Project Week Nonrigid MR-ULS Registration Algorithms for Neurosurgery, Prostate MRgFUS and Brachytherapy"

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  Back to [[2008_IGT_Project_Week#Projects]]
 
  Back to [[2008_IGT_Project_Week#Projects]]
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Team: Sandy Wells, Tina Kapur, Matt Toews, Ben Schwartz, Steve Haker, Michel Audette, Andinet E, Ziv Yanivm Jay, John Onofrey, Raul San Jose
  
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Team:Sandy Wells, Michel, Tina Kapur, Matt Toews, Nathan McDannold, Ben Schwartz, Steve Haker
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[[Media:2008_IGT_Project_Week_Registration.ppt|Powerpoint Presentation]]
  
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Goals: To continue the discussions from the IGT Non-rigid registration breakout
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Goals:
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**To discuss the clinical requirements (accuracy, speed, workflow) of these three problems
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A round table discussion of issues relating to multimodal (MR/CT-US) registration for image-guided therapy.  This will include:
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**To discuss the various approaches underway within our group
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#Definition of relevant research issues
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**Is there a commercial solution that we should bootstrap from?
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#Visual Inspection of data sets brought by participants
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**Each group to bring a data set for visual inspection by the rest
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#Discussion of clinical requirements for the three focus applications: Neurosurgery, Prostate MRgFUS, and Prostate Brachytherapy, Image Guided Endoscopy/Laproscropy
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#Where available, identification of particular algorithms for each of the focus applicatons
  
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Approach:
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Non-exhaustive List of Issues for Discussion
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This is a discussion group.
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#Goals of Non-Rigid MR-US Registration?
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#*Use coarse, cost-effective inter-operative US imagery to update detailed preoperative MR imager, to enhance visualization during therapy.
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Results (to be completed and presented at the end of the week):
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#Requirements
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#*Clinical requirements: registration precision?
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#*Is MR-US registration necessary?
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#State-of-the-art
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#*Existing systems?
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#*Real-time?
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#*Accuracy?
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#Image Registration
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#*MR-US similarity measurement: mutual information, correlation ratio?
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#*Transforms: rigid, deformable? Outlier detection?
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#*3DMR-2DUS slices? 3DMR-3DUS? 3DMR-3DUS reconstuction?
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#*Initialialization: 3D tracking of US probe?
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#*Freehand US?
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#*Robust?
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#Updating Pre-operative Imagery
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#*What information is required? Rigid/non-rigid deformation? Resolution?
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#*Interpolation?
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#Challenges
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#*Poor US image quality, occlusion, resection, poor visibility of anatomy
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#*Computational complexity
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#Data
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#*Phantom data?
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#*Data sharing for benchmarking?
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#Approach-based path planning
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#*Neurosurgical guidance can/should integrate knowledge of surgical approach: frontal, occipital, pterional, transnasal...
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#* Use knowledge of _specific_ critical tissues & likely eloquent areas in path planning
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#* Curvilinear neurosurgical path planning.

Latest revision as of 15:11, 9 December 2008

Home < 2008 IGT Project Week Nonrigid MR-ULS Registration Algorithms for Neurosurgery, Prostate MRgFUS and Brachytherapy
Back to 2008_IGT_Project_Week#Projects

Team: Sandy Wells, Tina Kapur, Matt Toews, Ben Schwartz, Steve Haker, Michel Audette, Andinet E, Ziv Yanivm Jay, John Onofrey, Raul San Jose

Powerpoint Presentation

Goals: A round table discussion of issues relating to multimodal (MR/CT-US) registration for image-guided therapy. This will include:

  1. Definition of relevant research issues
  2. Visual Inspection of data sets brought by participants
  3. Discussion of clinical requirements for the three focus applications: Neurosurgery, Prostate MRgFUS, and Prostate Brachytherapy, Image Guided Endoscopy/Laproscropy
  4. Where available, identification of particular algorithms for each of the focus applicatons

Non-exhaustive List of Issues for Discussion

  1. Goals of Non-Rigid MR-US Registration?
    • Use coarse, cost-effective inter-operative US imagery to update detailed preoperative MR imager, to enhance visualization during therapy.
  2. Requirements
    • Clinical requirements: registration precision?
    • Is MR-US registration necessary?
  3. State-of-the-art
    • Existing systems?
    • Real-time?
    • Accuracy?
  4. Image Registration
    • MR-US similarity measurement: mutual information, correlation ratio?
    • Transforms: rigid, deformable? Outlier detection?
    • 3DMR-2DUS slices? 3DMR-3DUS? 3DMR-3DUS reconstuction?
    • Initialialization: 3D tracking of US probe?
    • Freehand US?
    • Robust?
  5. Updating Pre-operative Imagery
    • What information is required? Rigid/non-rigid deformation? Resolution?
    • Interpolation?
  6. Challenges
    • Poor US image quality, occlusion, resection, poor visibility of anatomy
    • Computational complexity
  7. Data
    • Phantom data?
    • Data sharing for benchmarking?
  8. Approach-based path planning
    • Neurosurgical guidance can/should integrate knowledge of surgical approach: frontal, occipital, pterional, transnasal...
    • Use knowledge of _specific_ critical tissues & likely eloquent areas in path planning
    • Curvilinear neurosurgical path planning.
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