PSMD (peak width of skeletonized mean diffusivity) is a robust, fully-automated and easy-to-implement marker for cerebral small vessel disease based on diffusion tensor imaging, white matter tract skeletonization (as implemented in FSL-TBSS) and histogram analysis. The software package provided through this page allows to calculate PSMD from diffusion tensor imaging data.
Figure: Calculation of PSMD. a MD images are first skeletonized using the FA image and the FSL-TBSS pipeline. b Example images of a mildly (top) and severely affected (bottom) patient. c Histrogram analysis on the skeletonized data. PSMD quantifies the peak width of the histogram. The same two patients as in b are shown. Figure modified from Baykara et al., Annals of Neurology 2016.
This website enables you to download and apply a script in order to calculate PSMD in your own dataset.