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

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(New page: Back to 2008_IGT_Project_Week#Projects Team: Goals: Approach: Results (to be completed and presented at the end of the week):)
 
 
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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:
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[[Media:2008_IGT_Project_Week_Registration.ppt|Powerpoint Presentation]]
  
 
Goals:
 
Goals:
 +
A round table discussion of issues relating to multimodal (MR/CT-US) registration for image-guided therapy.  This will include:
 +
#Definition of relevant research issues
 +
#Visual Inspection of data sets brought by participants
 +
#Discussion of clinical requirements for the three focus applications: Neurosurgery, Prostate MRgFUS, and Prostate Brachytherapy, Image Guided Endoscopy/Laproscropy
 +
#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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#Goals of Non-Rigid MR-US Registration?
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Results (to be completed and presented at the end of the week):
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#*Use coarse, cost-effective inter-operative US imagery to update detailed preoperative MR imager, to enhance visualization during therapy.
 +
#Requirements
 +
#*Clinical requirements: registration precision?
 +
#*Is MR-US registration necessary?
 +
#State-of-the-art
 +
#*Existing systems?
 +
#*Real-time?
 +
#*Accuracy?
 +
#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?
 +
#Updating Pre-operative Imagery
 +
#*What information is required? Rigid/non-rigid deformation? Resolution?
 +
#*Interpolation?
 +
#Challenges
 +
#*Poor US image quality, occlusion, resection, poor visibility of anatomy
 +
#*Computational complexity
 +
#Data
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#*Phantom data?
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#*Data sharing for benchmarking?
 +
#Approach-based path planning
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#*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.

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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