Emilie Sleight1,2, Michael S Stringer1,2, Ian Marshall1,2, Joanna M Wardlaw1,2, Sotirios A Tsaftaris3, and Michael J Thrippleton1,2
1Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, United Kingdom, 2UK Dementia Research Institute, Edinburgh, United Kingdom, 3Institute for Digital Communications, University of Edinburgh, Edinburgh, United Kingdom
1Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, United Kingdom, 2UK Dementia Research Institute, Edinburgh, United Kingdom, 3Institute for Digital Communications, University of Edinburgh, Edinburgh, United Kingdom
We introduce a new processing method for
cerebrovascular reactivity (CVR) data known as shift-invariant dictionary
learning (SIDL). We show that measurements of CVR magnitude and CVR delay
obtained with SIDL are comparable to standard processing.
Figure 2.
Comparison of CVR magnitudes (A) and delays (B) obtained with SIDL and GLM. The
outliers are labelled as outlier 1 and 2.
Figure 3.
EtCO2, mean BOLD in deep grey matter and kernel of a subject with comparable
estimates to GLM and of the two outliers.
