A control point interpolation method for the non-parametric quantification of cerebral haemodynamics from dynamic susceptibility contrast MRI

@article{Mehndiratta2013ACP,
  title={A control point interpolation method for the non-parametric quantification of cerebral haemodynamics from dynamic susceptibility contrast MRI},
  author={Amit Mehndiratta and Bradley J. MacIntosh and David E. Crane and Stephen J. Payne and Michael A. Chappell},
  journal={NeuroImage},
  year={2013},
  volume={64},
  pages={560-570}
}
DSC-MRI analysis is based on tracer kinetic theory and typically involves the deconvolution of the MRI signal in tissue with an arterial input function (AIF), which is an ill-posed inverse problem. The current standard singular value decomposition (SVD) method typically underestimates perfusion and introduces non-physiological oscillations in the resulting residue function. An alternative vascular model (VM) based approach permits only a restricted family of shapes for the residue function… CONTINUE READING

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