Difference between revisions of "2012 Summer Project Week:Needle Tip Tracking"

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<gallery>
 
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Image:PW-MIT2012.png|[[2012_Summer_Project_Week#Projects|Projects List]]
 
Image:PW-MIT2012.png|[[2012_Summer_Project_Week#Projects|Projects List]]
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Image:Phantom-ayamada.png | A gelatin phantom and 18G MR compatible needle to mimic a biopsy case 
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Image:Ayamada-TrackedTip.png | A tracked tip in a phantom on MR image 
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Image:ServedImage-ayamada.png | Tracked RT image on Slicer 
 
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<h3>Objective</h3>
 
<h3>Objective</h3>
 
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The aim of this project is to create needle tip tracking software for real-time complex MR images, which includes data server of the tracked tip by using OpenIGTLink.
 
 
 
 
  
 
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<h3>Approach, Plan</h3>
 
<h3>Approach, Plan</h3>
 
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This software will be independent from Slicer to use this program for Slicer3 and Slicer4.
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We will implement the following elements:
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* Image-based tip tracker by using OpenCV
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* Tracked data server by using OpenIGTLink
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* Image receiver by using OpenIGTLink
  
 
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<h3>Progress</h3>
 
<h3>Progress</h3>
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* RT MR images for phantom study were scanned.
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* Image-based tip track algorithm was updated.
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* Image server was updated.
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* [[Media:result-ayamada.mov|Demo video (QuickTime)]]
  
 
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==Delivery Mechanism==
 
==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)
 
 
#ITK Module
 
#Slicer Module
 
##Built-in  YES
 
##Extension -- commandline
 
##Extension -- loadable
 
#Other (Please specify)
 
  
 
==References==
 
==References==

Latest revision as of 12:38, 22 June 2012

Home < 2012 Summer Project Week:Needle Tip Tracking

Key Investigators

  • BWH: Atsushi Yamada, Nobuhiko Hata

Objective

The aim of this project is to create needle tip tracking software for real-time complex MR images, which includes data server of the tracked tip by using OpenIGTLink.

Approach, Plan

This software will be independent from Slicer to use this program for Slicer3 and Slicer4. We will implement the following elements:

  • Image-based tip tracker by using OpenCV
  • Tracked data server by using OpenIGTLink
  • Image receiver by using OpenIGTLink

Progress

  • RT MR images for phantom study were scanned.
  • Image-based tip track algorithm was updated.
  • Image server was updated.
  • Demo video (QuickTime)

Delivery Mechanism

References