Difference between revisions of "2011 Summer Project Week Needle Detection to Control Scanner for Prostate Biopsy"

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Image:PW-MIT2011.png|[[2011_Summer_Project_Week#Projects|Projects List]]
 
Image:PW-MIT2011.png|[[2011_Summer_Project_Week#Projects|Projects List]]
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#Image:LiveUltrasound.png|Screenshot from the LiveUltrasound 3D view within Slicer3
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Image:Projectweek2011-motiontracker1.png|Base module for detecting and tracking a tip of a needle
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Image:notfound.png|Interesting picture to be added...  
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Image:Projectweek2011-motiontracker3.png|Tracking test by using a experimental images of a needle
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Image:Projectweek2011-motiontracker2.png|Image processing test tool (Low pass and High pass filter test) for tracking a needle in prostate biopsy
 
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# I received raw images '''from a scanner simulator''' and showed the received image on the 3D view of Slicer '''by using OpenCV'''.
 
# I received raw images '''from a scanner simulator''' and showed the received image on the 3D view of Slicer '''by using OpenCV'''.
 
# For sending the tracked position of the tip of a needle of a prostate biopsy, I modified transform matrix in using process timer event.   
 
# For sending the tracked position of the tip of a needle of a prostate biopsy, I modified transform matrix in using process timer event.   
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# For an experimental movie, the tracking of the tip of the needle was executed.
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# For an experimental movie, '''a test for tracking the tip of the needle was executed'''.
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# For an clinical case movie, a low pass and high pass filter was implemented and tested to detect the tip of the needle easily.
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# For a clinical case movie, I made '''an image processing test tool''' by using OpenCV to detect the tip of the needle (a low pass and high pass filter).  
  
 
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==References==
 

Latest revision as of 00:28, 26 September 2011

Home < 2011 Summer Project Week Needle Detection to Control Scanner for Prostate Biopsy

  • Base module for detecting and tracking a tip of a needle

  • Tracking test by using a experimental images of a needle

  • Image processing test tool (Low pass and High pass filter test) for tracking a needle in prostate biopsy

Needle Detection to Control Scanner for Prostate Biopsy

Key Investigators

  • Brigham and Women's Hospital: Atsushi Yamada, Loïc Cadour, Junichi Tokuda and Nobuhiko Hata


Objective

  1. For showing MRI which will be taken in realtime at a tip of the needle to a surgeon in prostate biopsy, we will track the tip of the needle and control the scanner by using the tracked position data automatically.

Approach, Plan

  1. Tracking: Develop a tracking program by using OpenCV
  2. Control: Develop a server to send the tracked position data to 3D Slicer
  3. Receiver: Develop a receiver to obtain MRI from a scanner

Progress

  1. I received raw images from a scanner simulator and showed the received image on the 3D view of Slicer by using OpenCV.
  2. For sending the tracked position of the tip of a needle of a prostate biopsy, I modified transform matrix in using process timer event.
  3. For an experimental movie, a test for tracking the tip of the needle was executed.
  4. For a clinical case movie, I made an image processing test tool by using OpenCV to detect the tip of the needle (a low pass and high pass filter).
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