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Principal Component Analysis (PCA) and other SVD related approaches are commonly used in dimension reduction and reconstruction of images. However, as linear methods they may not be appropriate for some non-linear cases. Recently a new approach named as Exponential Family Principle Component Analysis (E-PCA) is proposed for non-linear compression and has been successfully used to solve the belief...
We propose a new algorithm for the estimation of functional activations in diffuse optical imaging. Our approach considers the activations to be support limited. We simultaneously estimate the function values as well as the support from the available measurements. Since this scheme exploit the structure inherent to functional imaging, it provide reconstructions with better spatial resolution and is...
Blood oxygenation level dependent (BOLD) functional MRI and near infrared optical tomography have been widely used to investigate hemodynamic responses to functional stimulation in the human brain. In this paper, we present a complete methodology for integrating the two imaging modalities to study the underlying physiological mechanism of the hemodynamic response in primary visual cortex. Using a...
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