Difference between revisions of "DBP2:UNC:Tissue Segmentation Evaluation"

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A UNC dataset has been used for this study, one patient being scanned 10 times on the same scanner.
 
A UNC dataset has been used for this study, one patient being scanned 10 times on the same scanner.
 
Two dual-channel segmentation trials were performed to compare the segmentation reliability using the two algorithms.
 
Two dual-channel segmentation trials were performed to compare the segmentation reliability using the two algorithms.
A single T1 image was registered to the template atlas and the rest of the T1 images were affinely registered and scaled to that original T1 image to minimize scanner-influenced differences.
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A single T1 image was registered to the UNC template atlas and the rest of the T1 images were affinely registered and scaled to that original T1 image to minimize scanner-influenced differences.
  
 
=== Results ===
 
=== Results ===
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One case failed at the execution using EMSegment and has been removed.
 
One case failed at the execution using EMSegment and has been removed.
  
The covariance was computed in each trial, not only for each tissue (White matter, grey matter and CSF), but also for the Intra Cranial Volume, sum of the three tissues.  
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The covariance was computed for each trial, not only considering each tissue (White matter, grey matter and CSF), but also the Intra Cranial Volume, sum of the three tissues.  
  
 
   - Covariance/Tissue WM GM CSF ICV         
 
   - Covariance/Tissue WM GM CSF ICV         
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See results detailed on spreadsheet:
 
See results detailed on spreadsheet:
[[Image:UNC_DBP2_TissueSegmentation_VolumeAnalysis.xls|Volume Analysis]]
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[[Image:UNC_DBP2_TissueSegmentation_VolumeAnalysis.xls]]
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=== Screenshots ===
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== Qualitative study on pediatric dataset ==
 
== Qualitative study on pediatric dataset ==

Revision as of 21:24, 12 March 2008

Home < DBP2:UNC:Tissue Segmentation Evaluation

Back to NA-MIC Internal Collaborations, UNC DBP 2


Objective

We would like to evaluate the brain tissue segmentation using two different algorithms: itkEMS and Slicer3 EMSegment.

  • A reliability study was performed on adult dataset.
  • A qualitative study was performed on pediatric dataset.

Reliability study on adult dataset

Method

A UNC dataset has been used for this study, one patient being scanned 10 times on the same scanner. Two dual-channel segmentation trials were performed to compare the segmentation reliability using the two algorithms. A single T1 image was registered to the UNC template atlas and the rest of the T1 images were affinely registered and scaled to that original T1 image to minimize scanner-influenced differences.

Results

One case failed at the execution using EMSegment and has been removed.

The covariance was computed for each trial, not only considering each tissue (White matter, grey matter and CSF), but also the Intra Cranial Volume, sum of the three tissues.

 - Covariance/Tissue	WM		GM		CSF		ICV        
 - itkEMS		1.27%		0.99%		6.27%		0.88%
 - EMSegment		7.66%		3.15%		14.84%		1.51%

See results detailed on spreadsheet: File:UNC DBP2 TissueSegmentation VolumeAnalysis.xls

Screenshots

Qualitative study on pediatric dataset