Section: New Software and Platforms
White matter Hyperintensity Automatic Segmentation Algorithm
Keywords: Health - Neuroimaging - Biomedical imaging
The current stable version is fully automatic and focused on cross-sectional segmentation. The software can be used both as a Matlab command-line or through a graphical user interface (GUI). The core of the program is coded in Matlab. It has a dependency to the SPM environment. The GUI is coded in Python and is based on BrainVISA.
WHASA (“White matter Hyperintensity Automatic Segmentation Algorithm”) is a software for the fully automatic segmentation of age-related white matter hyperintensities from MRI FLAIR and 3D T1 brain scans. It has been validated on a population showing a wide range of lesion load, and is being further evaluated on elderly subjects with few clinical abnormalisties and with different acquisition characteristics.