Cerebral Hemodynamics in a Healthy Population Measured by Dynamic Susceptibility Contrast Mr Imaging

Abstract

Cerebral hemodynamics can be assessed with DSC MRI. Age itself seems to have only a marginal effect on cerebral perfusion in healthy population.

Mapping of cerebral metabolic rate of oxygen using dynamic susceptibility contrast and blood oxygen level dependent MR imaging in acute ischemic stroke

“…rCBV and CBF was evaluated using Stroketool (Digital Image Solutions, Frechen, Germany). rCBV maps were normalized assuming a value of 1.5 % in healthy appearing WM [25,43], based on values reported in literature [23,32]. rOEF values were calculated according to Eq.…”

Comparing gray and white matter fMRI activation using asymmetric spin echo spiral

“…First, BOLD signals are primarily sensitive to susceptibility-induced gradients of larger blood vessels such as veins, which are more abundant in GM than WM (Boxerman et al, 1995;Kim and Ugurbil, 1997). Consequently, activation is highly dependent on cerebral blood-flow and volume, both of which are higher in gray matter than in white (Rostrup et al, 2000;Helenius et al, 2003). Second, BOLD signals have been associated with the local field potential of post-synaptic activity, which is known to play a larger role in GM than in WM (Logothetis et al, 2001).…”

Evaluation of methods for detecting perfusion abnormalities after stroke in dysfunctional brain regions

“…5 for an example). White matter is generally less perfused as compared to grey matter (Helenius et al 2003). Since the reference regions involve grey matter, a systematic bias may be obtained using the mean contra-ROI method when analysing abnormal perfusion for the whole brain.…”

“…For example, Helenius et al (2003) found that perfusion values not only differ between grey and white matter, but also between cortical and deep grey matter and between different lobes. Thus, perfusion abnormality maps based on calculations that use mean values from regions in the unaffected hemisphere necessarily lead to biases especially for large regions (Helenius et al 2003). For example, the TTP delay values for regions with generally faster blood supply in the healthy hemisphere compared with the reference mean are underestimated, whereas delays in generally slower blood supply regions are overestimated.…”