Perfusion quantification using Gaussian process deconvolution.

@article{Andersen2002PerfusionQU,
  title={Perfusion quantification using Gaussian process deconvolution.},
  author={Ingwer Andersen and Anna Szymkowiak and Craig Edward Rasmussen and Lars G. Hanson and J. R. Marstrand and Henrik B. W. Larsson and Lars Kai Hansen},
  journal={Magnetic resonance in medicine},
  year={2002},
  volume={48 2},
  pages={351-61}
}
The quantification of perfusion using dynamic susceptibility contrast MRI (DSC-MRI) requires deconvolution to obtain the residual impulse response function (IRF). In this work, a method using the Gaussian process for deconvolution (GPD) is proposed. The fact that the IRF is smooth is incorporated as a constraint in the method. The GPD method, which automatically estimates the noise level in each voxel, has the advantage that model parameters are optimized automatically. The GPD is compared to… CONTINUE READING
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