Difference between revisions of "NA-MIC/Projects/External Collaboration/Measuring Alcohol and Stress Interaction"
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===Key Investigators=== | ===Key Investigators=== | ||
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* BWH: Kilian Pohl | * BWH: Kilian Pohl | ||
* Virginia Tech: Chris Wyatt, Vidya Rajagopalan | * Virginia Tech: Chris Wyatt, Vidya Rajagopalan | ||
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The objectives of this project are to: | The objectives of this project are to: | ||
| − | + | * Optimize the EM Brain Classifier in Slicer on MRI images of vervets. | |
| − | + | * Segment data from N subjects. | |
| − | + | * Optimize GM/WM/CSF segmentation so that calculation of GM/WM volume and ratios between the two states can be automated. | |
| − | + | * Optimize hippocampus, putamen and caudate segmentation so that volume comparison between states can be performed. | |
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{| | {| | ||
| − | |[[Image:Vervet_CorScrnShot.jpg|thumb| | + | |[[Image:Vervet_CorScrnShot.jpg|thumb|220px|Segmentation of major tissue classes in for vervet subject ]] |
| − | |[[Image:Rhesus_HpcCorScrnShot.jpg|thumb| | + | |[[Image:Rhesus_HpcCorScrnShot.jpg|thumb|220px|Subcortical Segmentation of Rhesus subject]] |
|} | |} | ||
* Developed an ITK utility for multiresolution demons registration. (Source code available for download from the NAMIC sandbox) | * Developed an ITK utility for multiresolution demons registration. (Source code available for download from the NAMIC sandbox) | ||
{| | {| | ||
| − | |[[Image:CheckerB4Reg_Screenshot.jpg |thumb| | + | |[[Image:CheckerB4Reg_Screenshot.jpg |thumb|220px|Checker Image of source and target before registration ]] |
| − | |[[Image:CheckerAfterreg_Screenshot.png|thumb| | + | |[[Image:CheckerAfterreg_Screenshot.png|thumb|220px|Checker Image of source and target after registration]] |
|} | |} | ||
Latest revision as of 22:02, 26 June 2008
Home < NA-MIC < Projects < External Collaboration < Measuring Alcohol and Stress Interaction Return to Project Week Main Page |
Key Investigators
- BWH: Kilian Pohl
- Virginia Tech: Chris Wyatt, Vidya Rajagopalan
- Kitware: Luis Ibanez
Objective
The objectives of this project are to:
- Optimize the EM Brain Classifier in Slicer on MRI images of vervets.
- Segment data from N subjects.
- Optimize GM/WM/CSF segmentation so that calculation of GM/WM volume and ratios between the two states can be automated.
- Optimize hippocampus, putamen and caudate segmentation so that volume comparison between states can be performed.
Approach, Plan
We will use the current implementation of the EM Segmenter in Slicer. Using a manual segmentation as an estimate of ground truth in a single subject, we will optimize the EM segmenter parameters over the classification error and running time.
Progress
Prior to the project week:
- Study data on 8 subjects at two time points (alcohol naive and post-induction) organized
- GM/WM/CSF atlas will be constructed for the study data.
During Project Week
- Optimized segmentation parameters for vervet data
- Improved accuracy of subcortical segmentation in rhesus data set
- Developed an ITK utility for multiresolution demons registration. (Source code available for download from the NAMIC sandbox)
