Difference between revisions of "2009 Summer Project Week Adaptive RT"

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Image:PW2009-v3.png|[[2009_Summer_Project_Week#Projects|Projects List]]
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{|
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|[[Image:PW2009-v3.png|thumb|320px|Return to [[2009_Summer_Project_Week#Projects|Projects List]] ]]
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|[[Image:MandibleInitCut.JPG|thumb|320px|Initial Curve]]
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|[[Image:MandibleSegCut.JPG|thumb|320px|Final Segmentation]]
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==Key Investigators==
 
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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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*Segmentation results are shown above.
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*We have three potential approaches to segmenting the brain stem to experiment with.
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*Created a complete data set for one patient including label maps for structures of interest.
  
  

Latest revision as of 20:45, 25 June 2009

Home < 2009 Summer Project Week Adaptive RT



Return to Projects List
Initial Curve
Final Segmentation


Key Investigators

  • GaTech: Ivan Kolesov, Vandana Mohan, and Allen Tannenbaum
  • MGH: Gregory Sharp

Objective

We are developing strategies to perform segmentation of a number of structures in the Head, Neck, and Thorax. Once segmentation is available, the goal is to register patient scans to account for anatomical changes between visits.




Approach, Plan

  • Get an accurate segmentation before beginning work on registration
  • First structure of interest is the mandible, by the end of the project week, obtain its segmentation
  • Come up with a strategy for segmenting the brain stem
  • Create an outline for further progress after the project week


Progress

  • Segmentation results are shown above.
  • We have three potential approaches to segmenting the brain stem to experiment with.
  • Created a complete data set for one patient including label maps for structures of interest.



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