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]] | ||
− | Image:Projectweek2011-motiontracker1.png| | + | Image:Projectweek2011-motiontracker1.png|Base module for detecting and tracking a tip of a needle |
− | Image:Projectweek2011-motiontracker2.png|Low pass and High pass filter test for a needle | + | Image:Projectweek2011-motiontracker3.png|Tracking test by using a experimental images of a needle |
− | + | 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. | ||
− | # For an experimental movie, | + | # For an experimental movie, '''a test for tracking the tip of the needle was executed'''. |
− | # For | + | # 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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Latest revision as of 00:28, 26 September 2011
Home < 2011 Summer Project Week Needle Detection to Control Scanner for Prostate BiopsyNeedle Detection to Control Scanner for Prostate Biopsy
Key Investigators
- Brigham and Women's Hospital: Atsushi Yamada, Loïc Cadour, Junichi Tokuda and Nobuhiko Hata
Objective
- 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
- Tracking: Develop a tracking program by using OpenCV
- Control: Develop a server to send the tracked position data to 3D Slicer
- Receiver: Develop a receiver to obtain MRI from a scanner
Progress
- 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 an experimental movie, a test for tracking the tip of the needle was executed.
- 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).