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 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 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.

 - 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: Volume Analysis