CITE

If you use VERBENA in your research, please make sure that you reference the 
first article listed below.

Chappell, M.A., Mehndiratta, A., Calamante F., "Correcting for large vessel 
contamination in DSC perfusion MRI by extension to a physiological model of the 
vasculature", e-print ahead of publication. doi: 10.1002/mrm.25390

The following articles provide more background on the original vascular model 
from which the VERBENA model is derived:

Mouridsen K, Friston K, Hjort N, Gyldensted L, Østergaard L, Kiebel S. Bayesian 
estimation of cerebral perfusion using a physiological model of microvasculature. 
NeuroImage 2006;33:570–579. doi: 10.1016/j.neuroimage.2006.06.015.

Ostergaard L, Chesler D, Weisskoff R, Sorensen A, Rosen B. Modeling Cerebral 
Blood Flow and Flow Heterogeneity From Magnetic Resonance Residue Data. J Cereb 
Blood Flow Metab 1999;19:690–699.

An alternative Bayesian 'non-parametric' deconvolution approach has been 
published in:

Mehndiratta A, MacIntosh BJ, Crane DE, Payne SJ, Chappell MA. A control point 
interpolation method for the non-parametric quantification of cerebral 
haemodynamics from dynamic susceptibility contrast MRI. NeuroImage 
2013;64:560–570. doi: 10.1016/j.neuroimage.2012.08.083.