Registration and analysis of dynamic magnetic resonance image series

Cystic fibrosis (CF) is an autosomal-recessive inherited metabolic disorder that affects all organs in the human body. Patients affected with CF suffer particularly from chronic inflammation and obstruction of the airways. Through early detection, continuous monitoring methods, and new treatments, the life expectancy of patients with CF has been increased drastically in the last decades. However, continuous monitoring of the disease progression is essential for a successful treatment. The current state-of-the-art method for lung disease detection and monitoring is computed tomography (CT) or X-ray. These techniques are ill-suited for the monitoring of disease progressions because of the ionizing radiation the patient is exposed during the examination. Through the development of new magnetic resonance imaging (MRI) sequences and evaluation methods, MRI is able to measure physiological changes in the lungs. The process to create physiological maps, i.e. ventilation and perfusion maps, of the lungs using MRI can be split up into three parts: MR-acquisition, image registration, and image analysis. In this work, we present different methods for the image registration part and the image analysis part. We developed a graph-based registration method for 2D dynamic MR image series of the lungs in order to overcome the problem of sliding motion at organ boundaries. Furthermore, we developed a human-inspired learning-based registration method. Here, the registration is defined as a sequence of local transformations. The sequence-based approach combines the advantage of dense transformation models, i.e. large space of transformations, and the advantage of interpolating transformation models, i.e. smooth local transformations. We also developed a general registration framework called Autograd Image Registration Laboratory (AIRLab), which performs automatic calculation of the gradients for the registration process. This allows rapid prototyping and an easy implementation of existing registration algorithms. For the image analysis part, we developed a deep-learning approach based on gated recurrent units that are able to calculate ventilation maps with less than a third of the number of images of the current method. Automatic defect detection in the estimated MRI ventilation and perfusion maps is essential for the clinical routine to automatically evaluate the treatment progression. We developed a weakly supervised method that is able to infer a pixel-wise defect segmentation by using only a continuous global label during training. In this case, we directly use the lung clearance index (LCI) as a global weak label, without any further manual annotations. The LCI is a global measure to describe ventilation inhomogeneities of the lungs and is obtained by a multiple breath washout test

Understanding LTP in pain pathways

Long-term potentiation (LTP) at synapses of nociceptive nerve fibres is a proposed cellular mechanism underlying some forms of hyperalgesia. In this review fundamental properties of LTP in nociceptive pathways are described. The following topics are specifically addressed: A concise definition of LTP is given and a differentiation is made between LTP and "central sensitisation". How to (and how not to) measure and how to induce LTP in pain pathways is specified. The signal transduction pathways leading to LTP at C-fibre synapses are highlighted and means of how to pre-empt and how to reverse LTP are delineated. The potential functional roles of LTP are evaluated at the cellular level and at the behavioural level in experimental animals. Finally, the impact of LTP on the perception of pain in human subjects is discussed

Essays on Trade Policy and Education Choice

This thesis is about two major economic topics, trade policy and education choice. The first and the second essay analyze trade policy with special attention to tariff formation in intermediate-good sectors. The first essay explains tariff formation in intermediate-good sectors from a national perspective. I build a political economy model in which lobby groups try to influence the government, which is both concerned about social welfare and collecting contributions from the lobby groups. It turns out that in such a model the equilibrium tariffs on intermediate goods deviate systematically from the tariffs on final goods. The second essay analyzes the tariff formation in intermediate-good sectors from an international perspective. It shows in a strategic trade policy model that the consideration of intermediate goods has a strong effect on the government’s optimal policy towards final goods also. The third essay is about education choice. I introduce social preferences into a simple model of education choice. Social preferences mean that individuals are not only concerned about their material self interest, but also about their relative income in comparison to others. It is shown that the individuals with social preferences take a systematically different education choice than purely self-interested individuals. The results can explain empirical evidence concerning the educational success of students.Political Economy; Strategic Trade Policy; Intermediate Goods; Education; Social Preferences

Crítica y defensa de lo existente. Referencias de la filosofía a la realidad. Estudio sobre la filosofía hegeliana del Derecho.

Sin resume

Long-term potentiation at C-fibre synapses by low-level presynaptic activity in vivo

Inflammation, trauma or nerve injury trigger low-level activity in C-fibres and may cause long-lasting hyperalgesia. Long-term potentiation (LTP) at synapses of primary afferent C-fibres is considered to underlie some forms of hyperalgesia. In previous studies, high- but not low-frequency conditioning stimulation of C-fibres has, however, been used to induce LTP in pain pathways. Recently we could show that also conditioning low-frequency stimulation (LFS) at C-fibre intensity induces LTP in vitro as well as in the intact animal, i.e. with tonic descending inhibition fully active. In the slice preparation, this form of LTP requires a rise in postsynaptic Ca2+-concentration and activation of Ca2+-dependent signalling pathways. Here, we investigated the signalling mechanisms underlying this novel form of LTP in vivo. We found that the signal transduction pathways causing LFS-induced LTP in vivo include activation of neurokinin 1 and N-methyl-D-aspartate receptors, rise of [Ca2+]i from intracellular stores and via T-type voltage-dependent Ca2+ channels, activation of phospholipase C, protein kinase C and Ca2+-calmodulin dependent kinase II. These pathways match those leading to hyperalgesia in behaving animals and humans. We thus propose that LTP induced by low-level activity in C-fibres may underlie some forms of hyperalgesia

Colloidal gels—low-density disordered solid-like states

The analogies between colloidal glasses and gels have stimulated an increased effort in recent years to unify the description of the transitions to these disordered solid-like states within a single conceptual framework. Mode coupling theory, which successfully describes the hard sphere colloidal glass transition, has been extended to describe the effect of weak attractions at large volume fractions. By comparison, diffusion limited cluster aggregation models successfully describe the behavior for the other limit, irreversibly aggregated, fractal gels formed at low volume fractions and very large interaction potentials. A theoretical picture, which unifies these two limits, is still the subject of research. In this review, we summarize some of the results obtained to date, aiming to give an overview of our current understanding

How to erase memory traces of pain and fear

Pain and fear are both aversive experiences that strongly impact on behaviour and well being. They are considered protective when they lead to meaningful, adaptive behaviour such as the avoidance of situations that are potentially dangerous to the integrity of tissue (pain) or the individual (fear). Pain and fear may, however, become maladaptive if expressed under inappropriate conditions or at excessive intensities for extended durations. Currently emerging concepts of maladaptive pain and fear suggest that basic neuronal mechanisms of memory formation are relevant for the development of pathological forms of pain and fear. Thus, the processes of erasing memory traces of pain and fear may constitute promising targets for future therapies

Essays on Trade Policy and Education Choice

This thesis is about two major economic topics, trade policy and education choice. The first and the second essay analyze trade policy with special attention to tariff formation in intermediate-good sectors. The first essay explains tariff formation in intermediate-good sectors from a national perspective. I build a political economy model in which lobby groups try to influence the government, which is both concerned about social welfare and collecting contributions from the lobby groups. It turns out that in such a model the equilibrium tariffs on intermediate goods deviate systematically from the tariffs on final goods. The second essay analyzes the tariff formation in intermediate-good sectors from an international perspective. It shows in a strategic trade policy model that the consideration of intermediate goods has a strong effect on the government’s optimal policy towards final goods also. The third essay is about education choice. I introduce social preferences into a simple model of education choice. Social preferences mean that individuals are not only concerned about their material self interest, but also about their relative income in comparison to others. It is shown that the individuals with social preferences take a systematically different education choice than purely self-interested individuals. The results can explain empirical evidence concerning the educational success of students