Difference between revisions of "Documentation/4.1/Extensions/LesionSegmentation"
Revision as of 18:28, 21 June 2012Home < Documentation < 4.1 < Extensions < LesionSegmentation
Introduction and Acknowledgements
This extension contains multiple CLI modules for segmenting white matter lesions in sMRI data. In order to use these tools your data must include a T1, T2, FLAIR, and brain mask for each subject. All data must be preprocessed including intra-subject co-registration, AC-PC alignment, bias correction, consistent spacing between sequences, and brain mask creation. If you are training a new model then expert lesion segmentations (co-registered to the anatomical scans for the relevant subject) are also required.
- Training a new model.
- Segmenting Lesions based on an existing model.
Panels and their use
- Scully M, Anderson B, Lane T, Gasparovic C, Magnotta V, Sibbitt W, Roldan C, Kikinis R and Bockholt HJ (2010) An automated method for segmenting white matter lesions through multi-level morphometric feature classification with application to lupus. Front. Hum. Neurosci. doi:10.3389/fnhum.2010.00027
Information for Developers
|Section under construction.|