Skip to main content
. Author manuscript; available in PMC: 2009 Sep 1.
Published in final edited form as: J Biomed Opt. 2008;13(5):054031. doi: 10.1117/1.2976432

Fig. 1. Schematic outline of model.

Fig. 1

The multimodal fusion model is based on a state-space approach and consists of three components. The set of coefficients to be estimated (β) multiplies a convolution kernel of spatial and temporal basis functions in the multidimensional linear model to model the volumetric changes in oxy- and deoxyhemoglobin due to evoked activation and systemic fluctuations. Linear observation models connect the underlying changes in these hemodynamic variables to expected measurements by both DOT and BOLD technologies. The states are finally estimated by minimizing the error with respect to the experimental data using a Bayesian formulation of the linear inversion operation.