Difference between revisions of "2010 Summer Project Week PerkStationModule"

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==Key Investigators==
 
==Key Investigators==
 
* Queen's University: Tamas Ungi
 
* Queen's University: Tamas Ungi
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* GE Research: Xiaodong Tao
  
 
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We are developing an augmented reality guidance system for percutaneous needle insertions.
 
We are developing an augmented reality guidance system for percutaneous needle insertions.
  
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The system is currently undergoing preclinical tests at Johns Hopkins hospital, and the software is being developed at Queen's University.
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For easy transfer of software updates to the testing site, we are looking for a quick and user friendly way of software update.
  
  
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<h3>Progress</h3>
 
<h3>Progress</h3>
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First working version of software for image overlay has been implemented.
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First working version of software for image overlay has been implemented before the project week.
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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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During the project week, we compiled the module as an extension, uploaded to the extension server, and imported it with the Extension Manager.
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We have also done minor improvement in the module for better usability. A list of plans and a list of calibrations were intruduced, as opposed to the previous one calibration, one plan design.
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*Fletcher P, Tao R, Jeong W, Whitaker R. [http://www.na-mic.org/publications/item/view/634 A volumetric approach to quantifying region-to-region white matter connectivity in diffusion tensor MRI.] Inf Process Med Imaging. 2007;20:346-358. PMID: 17633712.
 
*Fletcher P, Tao R, Jeong W, Whitaker R. [http://www.na-mic.org/publications/item/view/634 A volumetric approach to quantifying region-to-region white matter connectivity in diffusion tensor MRI.] Inf Process Med Imaging. 2007;20:346-358. PMID: 17633712.
 
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*Vikal S, U-Thainual P, Carrino JA, Iordachita I, Fischer GS, Fichtinger G.. Perk Station—Percutaneous surgery training and performance measurement platform. Comput Med Imaging Graph. 2010 Jan;34(1):19-32. PMID: 19539446
 
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Latest revision as of 14:37, 25 June 2010

Home < 2010 Summer Project Week PerkStationModule

Key Investigators

  • Queen's University: Tamas Ungi
  • GE Research: Xiaodong Tao

Objective

We are developing an augmented reality guidance system for percutaneous needle insertions.

The system is currently undergoing preclinical tests at Johns Hopkins hospital, and the software is being developed at Queen's University. For easy transfer of software updates to the testing site, we are looking for a quick and user friendly way of software update.


Approach, Plan

We have developed a Slicer loadable module to operate the image overlay hardware.

Our plan for the project week is to make it work as a Slicer extension to provide easier update process for collaborators.

Progress

First working version of software for image overlay has been implemented before the project week.

During the project week, we compiled the module as an extension, uploaded to the extension server, and imported it with the Extension Manager. We have also done minor improvement in the module for better usability. A list of plans and a list of calibrations were intruduced, as opposed to the previous one calibration, one plan design.


Delivery Mechanism

This work will be delivered to the NA-MIC Kit as a (please select the appropriate options by noting YES against them below)

  1. ITK Module
  2. Slicer Module
    1. Built-in
    2. Extension -- commandline
    3. Extension -- loadable YES
  3. Other (Please specify)

References

  • Vikal S, U-Thainual P, Carrino JA, Iordachita I, Fischer GS, Fichtinger G.. Perk Station—Percutaneous surgery training and performance measurement platform. Comput Med Imaging Graph. 2010 Jan;34(1):19-32. PMID: 19539446
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