Daniel Peter Bulte

This paper introduces a variational Bayesian approach for cerebrovascular reactivity mapping using fMRI data and compares it to a standard GLM method, showing improved computational efficiency and handling of noisy voxels.

This study uses arterial spin labelling to investigate perfusion changes in patients with musculoskeletal pain during arm repositioning, finding increased perfusion in brain regions associated with pain processing.

This study reduces cerebrovascular reactivity mapping scan time from 7-12 minutes to 3-5 minutes using a sinusoidal stimulus, maintaining reliable CVR magnitude estimates.

This study tests IVIM as an alternative to ASL for brain perfusion imaging but finds IVIM does not measure perfusion parameters and instead detects cerebrospinal fluid signals.