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.
For more background information, please see the paper published in Annals of Neurology.
This website enables you to download and apply a script in order to calculate PSMD in your own dataset.