Difference between revisions of "Collaboration:GT"

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= Georgia Tech (Core 1) & UC-Irvine (Core 3) Collaboration =
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== Goal ==
  
=== Logistics ===
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* Finish Programming Week #1 Project: [[Engineering:Project:Bayesian_Segmentation|Bayesian Classification ITK Filter]]
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* Wrap the filter in VTK for eventual use in Slicer
  
Dates: December 17, 2005 <br />Place: Georgia Tech <br />Attendees:
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== Activities ==
  
# Allen Tannenbaum (Georgia Tech,Core 1)
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* Thursday and Friday collaborative programming work
# Delphine Nain (Georgia Tech,Core 1)
 
# [[User:Melonakos|John Melonakos]] (Georgia Tech,Core 1)
 
# Ramsey Al-Hakim (Georgia Tech,Core 1)
 
# Tauseef ur Rehman (Georgia Tech,Core 1)
 
# Shawn Lankton (Georgia Tech,Core 1)
 
# Eric Pichon (Georgia Tech, Core 1)
 
# Jim Fallon (UCI,Core 3)
 
  
=== Agenda ===
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== Results ==
  
# '''All'''<nowiki>: Discussion with </nowiki>'''Jim Fallon''' on neuroanatomy, in particular to get more deep insight on the striatum and DLPFC/DMPFC structures and the rules. Write biological motivation section of the DLPFC SPIE 2006 paper.
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* The itkBayesianClassificationImageFilter is now a part of ITK CVS.
# '''Delphine''' and '''Ramsey''' show '''Jim''' how to use [[SoftwareInventory#3D_Slicer|Slicer]] for manual segmentations and obtain expert ground truth segmentation of a few slices of the Putamen, DMPFC and DLPFC structures on 5 cases. This will be used for the validation part of the DLPFC 2006 paper and future papers.
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* The filter has been wrapped in VTK for use in Slicer.
# '''Tauseef''' shows '''Jim''' the DMPFC/DLPFC segmenter Matlab program, in order to validate the current segmentations and get input from the prototype. If time permits, produce more segmentations with Jim's help.
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* Accompanying documentation has been submitted to the Insight Journal: An ITK Filter for Bayesian Segmentation: itkBayesianClassifierImageFilter
# '''John''' shows '''Jim''' the Putamen segmenter program, in order to validate the current segmentations and get input from the prototype. If time permits, produce more segmentations with Jim's help.
 
  
=== Workshop Results ===
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== Participants ==
  
===== Specific Accomplishments =====
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* Karthik Krishnan (Kitware)
 
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* Luis Ibanez (Kitware)
# Allen trained Jim on 3D Revolver Software
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* [[User:Melonakos|John Melonakos]] (Georgia Tech)
# Tauseef and Ramsey demonstrated the Matlab version of the DLPFC/DMPFC rule based segmentation software.
 
# Delphine demonstrated the 3D Slicer viewer of raw data overlaid with labelmaps.
 
# Jim presented lecture on the "Prefrontal Circuits".
 
# Jim manually segmented the DLPFC for 5 cases, will be used for validation.
 
# Jim manually segmented the Pulvinar, and Medio-Dorsal (MD) Part of the Thalamus for future work.
 
 
 
===== Important Discussions =====
 
 
 
* Common Knowledge When Segmenting Multiple Areas: For the Slicer RuleBacsedSegmentationModule, the user should have the option to segment single structures or combinations of structures. In the case of segmenting a combination of structures, the Module will have to be able to merge common information in an intelligent manner. For example, when segmenting the DLPFC and the DMPFC, it is important to recognize the common boundary shared by the two regions, instead of computing that boundary independently for each structure.
 
* Bayesian Classification Options: When performing Bayesian Classification, we should include a slide bar to allow the user to adjust the kmeans calulated means and standard deviations of the classes.
 
* DLPFC Buffer Zone: There is a likely zone of interest surrounding the DLPFC which is a buffer between the DLPFC and surrounding regions. In the DLPFC SubModule, provide the user with the option to create this buffer region as a percentage of areas on each side of the DLPFC cortical surface rhombus.
 
* General Zooming Options: Provide the user with the ability to zoom arbitrarily when performing the segmentations and do not base region of calculation on the level of zoom.
 
* Local Probabilistic Morphological Operations: Provide the ability to dilate/erode areas of the resulting segmentation in order to manually tweak results to better fit the data.
 
* Striatal Bridges (in the Interior Capsule): Provide the option to segment the gray-matter striatal bridges from the interior capsule when segmenting striatal areas.
 
 
 
=== Action Items ===
 
 
 
* GT will implement Fallon's Rules to Rule Base Segment all the areas of the prefrontal cortex, the pulvinar, and the MD.
 
* Jim will continue to provide expert manual segmentations for these areas.
 
 
 
=== Pictures ===
 
 
 
Neuroanatomy can be fun! Lots of drawing, a little bit of connecting the dots, some head scratching, but in the end, we all learned the ABC of neuroanatomy :)
 
 
 
To see full size, click on the bottom right icon below each picture.
 
 
 
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Revision as of 13:23, 18 December 2006

Home < Collaboration:GT

Goal

Activities

  • Thursday and Friday collaborative programming work

Results

  • The itkBayesianClassificationImageFilter is now a part of ITK CVS.
  • The filter has been wrapped in VTK for use in Slicer.
  • Accompanying documentation has been submitted to the Insight Journal: An ITK Filter for Bayesian Segmentation: itkBayesianClassifierImageFilter

Participants

  • Karthik Krishnan (Kitware)
  • Luis Ibanez (Kitware)
  • John Melonakos (Georgia Tech)