Difference between revisions of "2009 Summer Project Week Liver Ablation Slicer"

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__NOTOC__
 
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<gallery>
 
<gallery>
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Image:PW2009-v3.png|[[2009_Summer_Project_Week|Project Week Main Page]]
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Image:PW2009-v3.png|[[2009_Summer_Project_Week#Projects|Projects List]]
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Image:originalSegmentation.png|Segmentation showing no pass zones (ribs)and tumor.
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Image:segmentationAfterDilation.png|Segmented tumor region is dilated according to physician prescribed ablation margin.
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Image:Slicer_liver_module.png|IGT planning module for liver albation in Slicer3.
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Image:Segmentation_dilated_by_slicer.png|Segmented tumor region is dilated in Slicer3.
 
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<h3>Objective</h3>
 
<h3>Objective</h3>
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A complete workflow. This means loading the data, manually marking regions, processing this segmentation and exporting the result to the optimization program. After this we need to load the results of the optimization program and navigate.  
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Implement a complete workflow:
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#Load data.
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#Manually mark regions (tumor, entry, critical structure).
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#Process segmentation and export information to planning module (executable plugin with command line options).  
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#Load results of the optimization program.
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#Configure OpenIGTLink module on Slicer and run OpenIGTLink IGSTK client.
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#Navigate.  
 
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<h3>Approach, Plan</h3>
 
<h3>Approach, Plan</h3>
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Our approach for analyzing diffusion tensors is summarized in the IPMI 2007 reference below.  The main challenge to this approach is <foo>.
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#Integrate code from Georgetown for step 3 into Slicer.
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#Decide on appropriate format for describing the output of the optimization (set of trajectories and ablations along each trajectory).
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Our plan for the project week is to first try out <bar>,...
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#Implement a stub executable plugin as a stand in for the optimization program.
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#Test the integrated workflow.
 
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<h3>Progress</h3>
 
<h3>Progress</h3>
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Software for the fiber tracking and statistical analysis along the tracts has been implemented. The statistical methods for diffusion tensors are implemented as ITK code as part of the [[NA-MIC/Projects/Diffusion_Image_Analysis/DTI_Software_and_Algorithm_Infrastructure|DTI Software Infrastructure]] project. The methods have been validated on a repeated scan of a healthy individual. This work has been published as a conference paper (MICCAI 2005) and a journal version (MEDIA 2006). Our recent IPMI 2007 paper includes a nonparametric regression method for analyzing data along a fiber tract.
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* Completed GUI design and implementation for "planning" part of the workflow.
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* An unique feature in the planning part were tumor segmentation and ablation volume planning, taking ablation magin into account.
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* "Navigation" part 80% done.
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* In "Navigation", "IGT Guidance" widget was designed and implemented to be shared with other IGT investigators.
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==References==
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*Z. Yaniv, E. Wilson, D. Lindisch, K. Cleary, "Electromagnetic Tracking in the Clinical Environment", Med. Phys., Vol. 36(3), pp. 876-892, 2009. PMID: 19378748
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*J. Tokuda et al., "OpenIGTLink: An open network protocol for image- guided therapy environment," International Journal of Medical Robotics and Computer Assisted Surgery, to appear.
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Latest revision as of 15:16, 26 June 2009

Home < 2009 Summer Project Week Liver Ablation Slicer

  • Segmentation showing no pass zones (ribs)and tumor.

  • Segmented tumor region is dilated according to physician prescribed ablation margin.

  • IGT planning module for liver albation in Slicer3.

  • Segmented tumor region is dilated in Slicer3.

Key Investigators

  • BWH: Haiying Liu, Noby Hata
  • Georgetown: Ziv Yaniv

Objective

Implement a complete workflow:

  1. Load data.
  2. Manually mark regions (tumor, entry, critical structure).
  3. Process segmentation and export information to planning module (executable plugin with command line options).
  4. Load results of the optimization program.
  5. Configure OpenIGTLink module on Slicer and run OpenIGTLink IGSTK client.
  6. Navigate.

Approach, Plan

  1. Integrate code from Georgetown for step 3 into Slicer.
  2. Decide on appropriate format for describing the output of the optimization (set of trajectories and ablations along each trajectory).
  3. Implement a stub executable plugin as a stand in for the optimization program.
  4. Test the integrated workflow.

Progress

  • Completed GUI design and implementation for "planning" part of the workflow.
  • An unique feature in the planning part were tumor segmentation and ablation volume planning, taking ablation magin into account.
  • "Navigation" part 80% done.
  • In "Navigation", "IGT Guidance" widget was designed and implemented to be shared with other IGT investigators.


References

  • Z. Yaniv, E. Wilson, D. Lindisch, K. Cleary, "Electromagnetic Tracking in the Clinical Environment", Med. Phys., Vol. 36(3), pp. 876-892, 2009. PMID: 19378748
  • J. Tokuda et al., "OpenIGTLink: An open network protocol for image- guided therapy environment," International Journal of Medical Robotics and Computer Assisted Surgery, to appear.
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