Characterisation of anatomical properties of the human basal ganglia using magnetic resonance imaging

The detailed in-vivo characterization of subcortical brain structures is essential not only to understand the basic organizational principles of the healthy brain but also for the study of the involvement of the basal ganglia in brain disorders. The particular tissue properties of basal ganglia - most importantly their high iron content, strongly affect the contrast of magnetic resonance imaging (MRI) images, hampering the accurate automated assessment of these regions. This technical challenge explains the substantial controversy in the literature about the magnitude, directionality and neurobiological interpretation of basal ganglia structural changes estimated from MRI and computational anatomy techniques. My scientific project addresses the pertinent need for accurate automated delineation of basal ganglia using two complementary strategies: ? Empirical testing of the utility of novel imaging protocols to provide superior contrast in the basal ganglia and to quantify brain tissue properties; ? Improvement of the algorithms for the reliable automated detection of basal ganglia and thalamus Previous research demonstrated that MRI protocols based on magnetization transfer (MT) saturation maps provide optimal grey-white matter contrast in subcortical structures compared with the widely used Tl-weighted (Tlw) images (Helms et al., 2009). Under the assumption of a direct impact of brain tissue properties on MR contrast my first study addressed the question of the mechanisms underlying the regional specificities effect of the basal ganglia. I used established whole-brain voxel-based methods to test for grey matter volume differences between MT and Tlw imaging protocols with an emphasis on subcortical structures. I applied a regression model to explain the observed grey matter differences from the regionally specific impact of brain tissue properties on the MR contrast. The results of my first project prompted further methodological developments to create adequate priors for the basal ganglia and thalamus allowing optimal automated delineation of these structures in a probabilistic tissue classification framework. I established a standardized workflow for manual labelling of the basal ganglia, thalamus and cerebellar dentate to create new tissue probability maps from quantitative MR maps featuring optimal grey-white matter contrast in subcortical areas. The validation step of the new tissue priors included a comparison of the classification performance with the existing probability maps. In my third project I continued investigating the factors impacting automated brain tissue classification that result in interpretational shortcomings when using Tlw MRI data in the framework of computational anatomy. While the intensity in Tlw images is predominantly

Lessons from the Digital Divide

Peer-reviewed

Mecanização no preparo de amostras por microondas: o estado da arte

This review presents the latest advances of the mechanisation in sample preparation using microwave oven. The fundamental principles of microwaves field interaction with matter are presented, followed by the basic principles of microwave equipment construction. Hyphenation of microwave oven with flow injection analysis or robotic are discussed as well as some metodological difficulties and solutions by its implementation.

A Hierarchical Approach for Multi-task Logistic Regression

Peer-reviewed

Using appearance and context for outdoor scene object classification

We propose a probabilistic object classifier for outdoor scene analysis as a first step in solving the problem of scene context generation. The method begins with a top-down control, which uses the previously learned models (appearance and absolute location) to obtain an initial pixel-level classification. This information provides us the core of objects, which is used to acquire a more accurate object model. Therefore, their growing by specific active regions allows us to obtain an accurate recognition of known regions. Next, a stage of general segmentation provides the segmentation of unknown regions by a bottom-strategy. Finally, the last stage tries to perform a region fusion of known and unknown segmented objects. The result is both a segmentation of the image and a recognition of each segment as a given object class or as an unknown segmented object. Furthermore, experimental results are shown and evaluated to prove the validity of our proposal

Modeling and Classifying Breast Tissue Density in Mammograms

We present a new approach to model and classify breast parenchymal tissue. Given a mammogram, first, we will discover the distribution of the different tissue densities in an unsupervised manner, and second, we will use this tissue distribution to perform the classification. We achieve this using a classifier based on local descriptors and probabilistic Latent Semantic Analysis (pLSA), a generative model from the statistical text literature. We studied the influence of different descriptors like texture and SIFT features at the classification stage showing that textons outperform SIFT in all cases. Moreover we demonstrate that pLSA automatically extracts meaningful latent aspects generating a compact tissue representation based on their densities, useful for discriminating on mammogram classification. We show the results of tissue classification over the MIAS and DDSM datasets. We compare our method with approaches that classified these same datasets showing a better performance of our proposal

Multi-sensor Simultaneous Localization and Mapping

Simultaneous localization and mapping(SLAM) is a very important problem in mobile robotics. Many solutions have been proposed by different scientists during the last two decades, nevertheless few studies have considered the use of multiple sensors simultane¬ously. The solution is on combining several data sources with the aid of an Extended Kalman Filter (EKF). Two approaches are proposed. The first one is to use the ordinary EKF SLAM algorithm for each data source separately in parallel and then at the end of each step, fuse the results into one solution. Another proposed approach is the use of multiple data sources simultaneously in a single filter. The comparison of the computational com¬plexity of the two methods is also presented. The first method is almost four times faster than the second one.

Manipulador robótico con visión artificial

En los tiempos que corren la robótica forma uno de los pilares más importantes en la industria y una gran noticia para los ingenieros es la referente a las ventas de estos, ya que en 2013, unos 179.000 robots industriales se vendieron en todo el mundo, de nuevo un máximo histórico y un 12% más que en 2012 según datos de la IFR (International Federation of Robotics). Junto a esta noticia, la robótica colaborativa entra en juego en el momento que los robots y los seres humanos deben compartir el lugar de trabajo sin que nos veamos excluidos por las maquinas, por lo tanto lo que se intenta es que los robots mejoren la calidad del trabajo al hacerse cargo de los trabajos peligrosos, tediosos y sucios que no son posibles o seguros para los seres humanos. Otro concepto muy importante y directamente relacionado con lo anterior que está muy en boga y se escucha desde hace relativamente poco tiempo es el de la fabrica del futuro o “Factory Of The Future” la cual intenta que los operarios y los robots encuentren la sintonía en el entorno laboral y que los robots se consideren como maquinaria colaborativa y no como sustitutiva, considerándose como uno de los grandes nichos productivos en plena expansión. Dejando a un lado estos conceptos técnicos que nunca debemos olvidar si nuestra carrera profesional va enfocada en este ámbito industrial, el tema central de este proyecto está basado, como no podía ser de otro modo, en la robótica, que junto con la visión artificial, el resultado de esta fusión, ha dado un manipulador robótico al que se le ha dotado de cierta “inteligencia”. Se ha planteado un sencillo pero posible proceso de producción el cual es capaz de almacenar piezas de diferente forma y color de una forma autónoma solamente guiado por la imagen capturada con una webcam integrada en el equipo. El sistema consiste en una estructura soporte delimitada por una zona de trabajo en la cual se superponen unas piezas diseñadas al efecto las cuales deben ser almacenadas en su lugar correspondiente por el manipulador robótico. Dicho manipulador de cinemática paralela está basado en la tecnología de cables, comandado por cuatro motores que le dan tres grados de libertad (±X, ±Y, ±Z) donde el efector se encuentra suspendido sobre la zona de trabajo moviéndose de forma que es capaz de identificar las características de las piezas en situación, color y forma para ser almacenadas de una forma ordenada según unas premisas iníciales.

Yhteisvikaparametrien määritys

Tässä kandidaatintyössä selvitetään yhteisvikaparametrien määritysprosessia todennäköisyysperustaista riskianalyysia varten Teollisuuden Voiman Olkiluodossa käytössä olevien Olkiluoto-1 ja Olkiluoto-2 ydinvoimalaitosyksiköiden osalta. Kandidaatintyön tavoitteena on selvittää yhteisvikaparametrien määrittämisen yleiset työvaiheet ja tutkia alkuperäisen selvityksen jälkeen käytettäväksi tulleen ICDE-yhteisvika-aineiston soveltamismahdollisuudet Olkiluodon laitosyksiköihin.

Influência das variáveis nitrogênio, fósforo e ºBrix na produção dos metabólicos secundários contaminantes totais da fermentação alcoólica

The present study evaluated the influence of nitrogen, phosphorus and ºBrix on the production of MSCT through a factorial design methodology and analysis of response surface. The objective was to propose a statistically significant probabilistic model for the alcoholic fermentation. In order to obtain less MSCT, the medium under fermentation needs to present low sugar concentration. It was observed that phosphorus and nitrogen, even with no significant individual effects, presented interactions with each other decreasing the production of MSCT, which improves alcohol quality.

Ambient intelligence application based on environmental measurements performed with an assistant mobile robot

This paper proposes the use of an autonomous assistant mobile robot in order to monitor the environmental conditions of a large indoor area and develop an ambient intelligence application. The mobile robot uses single high performance embedded sensors in order to collect and geo-reference environmental information such as ambient temperature, air velocity and orientation and gas concentration. The data collected with the assistant mobile robot is analyzed in order to detect unusual measurements or discrepancies and develop focused corrective ambient actions. This paper shows an example of the measurements performed in a research facility which have enabled the detection and location of an uncomfortable temperature profile inside an office of the research facility. The ambient intelligent application has been developed by performing some localized ambient measurements that have been analyzed in order to propose some ambient actuations to correct the uncomfortable temperature profile.

Els robots s'inspiren en les taràntules

La robòtica està experimentant un gran auge, amb el disseny de màquines cada cop més sofisticades i complexes pel que fa a les funcions que poden dur a terme i a la capacitat d'interacció amb les persones. Molta inspiració ve de la natura. Un dels reptes actuals és optimitzar els sistemes que controlen el moviment de les extremitats perquè permetin ajustar la velocitat i la coordinació de manera precisa i ràpida. Anna N. Ahn i els seus col·laboradors, dels departaments de biologia i d'enginyeria del Pitzer College i del Harvey Mudd College de Claremont, als EUA, han proposat un sistema de control basat en el moviment de les extremitats de les aranyes. Concretament, han estudiat la locomoció hidràulica de les taràntules, que es veu afectada per la temperatura, segons han publicat a The Journal of Experimental Biology.

Targeted vs. standard treatment against Helicobacter pylori: safety assessment clinical trial

Helicobacter pylori (H. pylori) is a gram negative bacteria that represents a considerable global burden in the world and is related to many gastrointestinal diseases (peptic ulcer, gastric MALT lymphoma or gastric cancer). Currently the triple standard therapy is less used as there is an increase of the clarithromycin resistance. Therefore patients have to receive several lines of treatment with the consequence of adverse events and the possibility to interrupt the treatment. This is why the main objective is to determine if making a culture and antibiogram to do a targeted treatment cause less adverse events with the same eradication than making an empirical treatment to eradicate H. pylori. The secondary objective is to determine the prevalence of resistance to clarithromycin in the province of GironaThis is a multicentre clinical trial without blinding; patients are selected by non-probabilistic sampling, with a total sample of 868 patients randomized in two equal groups of 434 patients in each group. The study will last 2 years. The endpoints will be to evaluate the adverse events and eradication of each group of patients. Also it will be evaluated the resistance to clarithromycin

Estudi sobre la qualitat de vida de les persones amb demència ateses a la Unitat d'avaluació de deteriorament cognitiu de l'Hospital de la Santa Creu

OBJECTIU: determinar la qualitat de vida de les persones amb demència ateses en una unitat avaluadora de deteriorament cognitiu. MÈTODE: estudi descriptiu transversal amb una mostra consecutiva no probabilística, formada per 42 persones amb demència tipus Alzheimer lleu o moderada i els seus cuidadors. La Qualitat de Vida (QV) es va avaluar amb el qüestionari QoL-AD (Quality of Life Alzheimer’s Disease) en les versions per al pacient (QoL-ADp) i per al cuidador (QoL-ADc). RESULTATS: la mitjana de puntuació del QoL-ADp va ser de 35,38 punts (DE = 5,24) i del QoL-Adc, de 30,60 (DE 5,33). La diferència entre aquests resultats és significativa (p<0,001). Els pacients amb simptomatologia depressiva i els seus cuidadors van puntuar significativament més baix el QoL-AD (p<0,001). En les freqüències per ítems del QoL-ADp s’observa que: més del 75% van valorar com a bona/excel·lent les condicions de vida, família, matrimoni/relació estreta, vida social, situació financera i vida en general; el 61% valoraren bona/excel·lent la capacitat per realitzar tasques a casa; prop del 50% pensava que l’estat d’ànim, l’energia, la salut física, la capacitat per fer coses per diversió i la visió de si mateixos era dolenta/regular, i el 85,7% opinava que la seva memòria era dolenta/regular. CONCLUSIONS: els resultats obtinguts en el QoL-AD no difereixen dels obtinguts en altres investigacions. Suggereixen que les intervencions que genera l’avaluació de la QV en la pràctica clínica inclouen aspectes centrats pròpiament en la malaltia i aspectes vinculats amb les relacions socials.

Estudo de reações químicas homogêneas via método de Monte Carlo

By using the Monte Carlo simulation platform with probabilistic mathematical functions of the Boltzmann type, , having activation energy and temperature as parameters, it was possible to assess important dynamic aspects of homogeneous chemical reactions of the types A → B and A B. The protocol proved a useful tool in work with the basic concepts of Kinetics and Thermodynamics allowing its application both in class activities and for assisting experimental procedures.