1 Medical Research Center Oulu, Oulu University Hospital and University of Oulu, Oulu, Finland 2 Department of Diagnostics, Faculty of Medicine, University of Oulu, Oulu, Finland 3 Department of Diagnostic Radiology, Oulu University Hospital, Oulu, Finland 4 Division of Brain Sciences, Academic Department of Neuro-otology, Imperial College London, Charing Cross Hospital Campus, London, UK *Corr...

The regularized iterative reconstruction of the tensor field in diffusion tensor tomography magnetic resonance imaging was investigated. The total variation constraints on eigenvalue and tensor component images of the diffusion tensor were explored. A computer generated phantom was used to simulate the diffusion tensor in a cardiac MRI study in which the diffusion model depended upon the fiber ...

Previous studies have shown that limits on loan-to-value (LTV) and debt-to-income (DTI) ratios can stabilise the housing market, and that tightening these limits tends to be more effective than loosening them. This paper examines whether the relative effectiveness of tightening vs. loosening macroprudential measures depends on where in the housing cycle they are implemented. I find that tighten...

We present an algebraic solution to both direct and featurebased registration of diffusion tensor images under various local deformation models. In the direct case, we show how to linearly recover a local deformation from the partial derivatives of the tensor using the so-called Diffusion Tensor Constancy Constraint, a generalization of the brightness constancy constraint to diffusion tensor da...

This paper investigates the iterative reconstruction of tensor fields in diffusion tensor magnetic resonance imaging (MRI). The gradient constraints on eigenvalue and tensor component images of the diffusion tensor were exploited. A computer-generated phantom was used in order to simulate the diffusion tensor in a cardiac MRI study with a diffusion model that depends on the fiber structure of t...

Diffusion tensor imaging is widely used in research and clinical applications, but this modality is highly sensitive to artefacts. We developed an easy-to-implement extension of the original diffusion tensor model to account for physiological noise in diffusion tensor imaging using measures of peripheral physiology (pulse and respiration), the so-called extended tensor model. Within the framewo...