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Subject head movement, during the experimental and/or clinical procedure is an inevitable part of the functional magnetic resonance imaging (fMRI) brain mapping methods despite the availability of a large variety of head fixation devices employed in these studies. Thus, image registration is an essential processing step in fMRI. This is due to the fact that there is inevitable movement during the...
Subject head movement, during the experimental and/or clinical procedure is an inevitable part of the functional magnetic resonance imaging (fMRI) brain mapping methods despite the availability of a large variety of head fixation devices employed in these studies. Thus, image registration is an essential processing step in fMRI. This is due to the fact that there is inevitable movement during the...
The three-element Windkessel model is widely used and accepted for analyzing blood flow and pressure in arterial system and cerebral circulation. In most studies, changes in mean arterial blood pressure data is used as input to estimate the model parameters. However, estimation of linear model parameters, using input-output data, requires that the input be persistently exciting. This study examined...
The three-element Windkessel model is widely used and accepted for analyzing blood flow and pressure in arterial system and cerebral circulation. In most studies, changes in mean arterial blood pressure data is used as input to estimate the model parameters. However, estimation of linear model parameters, using input-output data, requires that the input be persistently exciting. This study examined...
In this paper we propose a formal formulation for the estimation of Diffusion Tensors in the space of symmetric positive semidefinite (PSD) tensors. Traditionally, diffusion tensor model estimation has been carried out imposing tensor symmetry without constraints for negative eigenvalues. When diffusion weighted data does not follow the diffusion model, due to noise or signal drop, negative eigenvalues...
In this paper we propose a formal formulation for the estimation of Diffusion Tensors in the space of symmetric positive semidefinite (PSD) tensors. Traditionally, diffusion tensor model estimation has been carried out imposing tensor symmetry without constraints for negative eigenvalues. When diffusion weighted data does not follow the diffusion model, due to noise or signal drop, negative eigenvalues...
Periventricular leukomalacia (PVL) is a neonatal brain pathology occuring on preterms with a very low birth weight (<1500 g). Next to ultrasound (US) imaging, which is the first and most common step, magnetic resonance image (MRI) volumes are used for the inspection of this pathology. Since on both modalities, up to now, we still lack a golden standard for the quantification of the pathology cross-validation...
Periventricular leukomalacia (PVL) is a neonatal brain pathology occuring on preterms with a very low birth weight (<1500 g). Next to ultrasound (US) imaging, which is the first and most common step, magnetic resonance image (MRI) volumes are used for the inspection of this pathology. Since on both modalities, up to now, we still lack a golden standard for the quantification of the pathology cross-validation...
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