203 resultados para Image Forces


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Abstract Arbuscular Mycorhizal Fungi (AMF) are important plant symbionts that can improve floristic diversity and ecosystem productivity. These important fungi are obligate biotrophs and form symbioses with roots of the majority of plant species, improving plant nutrient acquisition in exchange of photosynthates. AM fungi are successful both ecologically as they occupy a very large spectrum of environments as well as host range and evolutionarily, as this symbiosis is over 400 million years old. These fungi grow and reproduce clonally by hyphae and multinucleate spores. AMF are coenocytic and recent work has shown that they harbor genetically different nuclei and that AMF populations are genetically diverse. How AMF species diversity is maintained has been addressed theoretically and experimentally at the community level. Much less attention has been drawn to understand how genetic diversity is maintained within populations although closely related individuals are more likely to compete for the same resources and occupy similar niches. How infra-individual genetic diversity is shaped and maintained has received even less attention. In Chapter 2, we show that individuals from a field population may differ in their symbiotic efficiency under reduced phosphate availability: We show there is genetic variation in an AMF field population for fitness-related growth traits in response to different phosphate availability acid host species. Furthermore, AFLP fingerprints of the same individuals growing in contrasting environments diverged suggesting that the composition in nuclei of AMF is dynamical and affected by environmental factors. Thus environmental heterogeneity is likely to play an important role for the maintenance of genetic diversity at the population level. In Chapter 3 we show that single spores do not inherit necessarily the same genetic material. We have found genetic divergences using two different types of molecular marker, as well as phenotypic divergences among single spore lines. Our results stress the importance of considering these organisms as a multilevel hierarchical system and of better knowing their life cycle. They have important consequences for the understanding of AMF genetics, ecology and the development of commercial AMF inocculum. Résumé Les champignons endomycorhiziens arbusculaires (CEA) sont d'importants symbiontes pour les plantes, car ils augmentent la diversité et la productivité des écosystèmes. Ces importants symbiontes sont des biotrophes obligatoires et forment une symbiose avec la plupart des plantes terrestres. Ils améliorent l'acquisition de substances nutritives de leurs hôtes en échange de sucres obtenus par photosynthèse. Ces champignons ont un grand succès écologique, ils colonisent une grande rangée d'environnements ainsi que d'hôtes. Ils ont aussi un succès évolutif certain de part le fait que cette symbiose existe depuis plus de 400 millions d'années. Les CEA sont asexués et croissent clonalement en formant des hyphes et des spores multinuclées. Les CEA sont des coenocytes et des travaux de recherche récents ont montré qu'ils possèdent des noyaux génétiquement différents. D'autres travaux ont aussi révélé que les populations de CEA sont génétiquement diversifiées. Comment la diversité des CEA est maintenue a seulement été adressée par des études théoriques et expérimentalement au niveau des communautés. Très peu d'attention a été portée sur le maintien de la diversité génétique infra et inter populationnelle, or ce sont les individus les plus proches génétiquement qui vont entrer en compétition pour des ressources et niches similaires. La formation et le maintien de la diversité intra-individu des CEA a reçu très peu d'attention. Dans le chapitre 2, nous montrons que des individus CEA d'un même champ différent dans leur efficacité symbiotique lorsque la concentration en phosphoré est réduite. Nous montrons qu'il existe de la variance génétique dans une population de CEA provenant d'un même champ en réponse à différentes concentrations de phosphore, ainsi qu'en réponse à différentes espèces d'hôtes, et ceci pour des traits de croissance vraisemblablement liés au succès reproducteur. De plus grâce à des AFLP nous avons pu montrer que le génome de ces individus subissent des changements lorsqu'ils croissent dans des environnements contrastés. Ceci suggère que les noyaux génétiquement différents des CEA sont des entités dynamiques. Il est fort probable que l'hétérogénéité environnementale joue un rôle dans le maintien de la diversité génétique des populations de CEA. Dans le chapitre 3, nous montrons que toutes les spores d'un même mycélium parental de CEA ne reçoivent pas exactement le même contenu génétique. Nous avons mis en évidence des divergences entre des Lignées monosporales en utilisant deux types de marqueur moléculaires, ainsi que des différences phénotypiques. Nos résutats soulignent l'importance de considézer ces organismes comme dés systëmes hiérarchiques mufti-niveaux, ainsi que de mieux connaître leur cycle de vie. Nos résultats ont d'importantes conséquences pour la compréhension du système génétique des CEA, ainsi que de leur évolution, leur écológie, mais également des conséquences pour la production d' inoccultim commercial.

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Purpose: Many countries used the PGMI (P=perfect, G=good, M=moderate, I=inadequate) classification system for assessing the quality of mammograms. Limits inherent to the subjectivity of this classification have been shown. Prior to introducing this system in Switzerland, we wanted to better understand the origin of this subjectivity in order to minimize it. Our study aimed at identifying the main determinants of the variability of the PGMI system and which criteria are the most subjected to subjectivity. Methods and Materials: A focus group composed of 2 experienced radiographers and 2 radiologists specified each PGMI criterion. Ten raters (6 radiographers and 4 radiologists) evaluated twice a panel of 40 randomly selected mammograms (20 analogic and 20 digital) according to these specified PGMI criteria. The PGMI classification was assessed and the intra- and inter-rater reliability was tested for each professional group (radiographer vs radiologist), image technology (analogic vs digital) and PGMI criterion. Results: Some 3,200 images were assessed. The intra-rater reliability appears to be weak, particularly in respect to inter-rater variability. Subjectivity appears to be largely independent of the professional group and image technology. Aspects of the PGMI classification criteria most subjected to variability were identified. Conclusion: Post-test discussions enabled to specify more precisely some criteria. This should reduce subjectivity when applying the PGMI classification system. A concomitant, important effort in training radiographers is also necessary.

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The aim of this study was to evaluate and compare organ doses delivered to patients in wrist and petrous bone examinations using a multislice spiral computed tomography (CT) and a C-arm cone-beam CT equipped with a flat-panel detector (XperCT). For this purpose, doses to the target organ, i.e. wrist or petrous bone, together with those to the most radiosensitive nearby organs, i.e. thyroid and eye lens, were measured and compared. Furthermore, image quality was compared for both imaging systems and different acquisition modes using a Catphan phantom. Results show that both systems guarantee adequate accuracy for diagnostic purposes for wrist and petrous bone examinations. Compared with the CT scanner, the XperCT system slightly reduces the dose to target organs and shortens the overall duration of the wrist examination. In addition, using the XperCT enables a reduction of the dose to the eye lens during head scans (skull base and ear examinations).

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During adolescence, nutrition needs are high; however the literature shows that few adolescents are following standardized nutritional requirements. A few weeks before an intervention about nutrition to high school adolescents in Lausanne, they were invited to fill in a self-reported questionnaire about their nutrition modes and habits, and their self-image satisfaction (N = 198). Results show that only 5% of youth are eating 5 fruits and vegetables per day and only 29% 3 to 5 dairy products. 21% of female and 6% of boys are not satisfied about their self-image, and those exhibiting a poor self-image tend to adopt health compromising eating patterns in a higher proportion. During adolescence it is important not only to investigate the nutritional habits but also one's self image.

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In this paper, we propose two active learning algorithms for semiautomatic definition of training samples in remote sensing image classification. Based on predefined heuristics, the classifier ranks the unlabeled pixels and automatically chooses those that are considered the most valuable for its improvement. Once the pixels have been selected, the analyst labels them manually and the process is iterated. Starting with a small and nonoptimal training set, the model itself builds the optimal set of samples which minimizes the classification error. We have applied the proposed algorithms to a variety of remote sensing data, including very high resolution and hyperspectral images, using support vector machines. Experimental results confirm the consistency of the methods. The required number of training samples can be reduced to 10% using the methods proposed, reaching the same level of accuracy as larger data sets. A comparison with a state-of-the-art active learning method, margin sampling, is provided, highlighting advantages of the methods proposed. The effect of spatial resolution and separability of the classes on the quality of the selection of pixels is also discussed.

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We present an open-source ITK implementation of a directFourier method for tomographic reconstruction, applicableto parallel-beam x-ray images. Direct Fourierreconstruction makes use of the central-slice theorem tobuild a polar 2D Fourier space from the 1D transformedprojections of the scanned object, that is resampled intoa Cartesian grid. Inverse 2D Fourier transform eventuallyyields the reconstructed image. Additionally, we providea complex wrapper to the BSplineInterpolateImageFunctionto overcome ITKâeuro?s current lack for image interpolatorsdealing with complex data types. A sample application ispresented and extensively illustrated on the Shepp-Loganhead phantom. We show that appropriate input zeropaddingand 2D-DFT oversampling rates together with radial cubicb-spline interpolation improve 2D-DFT interpolationquality and are efficient remedies to reducereconstruction artifacts.

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We investigated the relationship between being bullied and measured body weight and perceived body weight among adolescents of a middle-income sub Saharan African country. Our data originated from the Global School-based Health Survey, which targets adolescents aged 13-15 years. Student weights and heights were measured before administrating the questionnaire which included questions about personal data, health behaviors and being bullied. Standard criteria were used to assess thinness, overweight and obesity. Among 1,006 participants who had complete data, 16.5% (95%CI 13.3-20.2) reported being bullied ≥ 3 days during the past 30 days; 13.4% were thin, 16.8% were overweight and 7.6% were obese. Categories of actual weight and of perceived weight correlated only moderately (Spearman correlation coefficient 0.37 for boys and 0.57 for girls; p < 0.001). In univariate analysis, both actual obesity (OR 1.76; p = 0.051) and perception of high weight (OR 1.63 for "slightly overweight"; OR 2.74 for "very overweight", both p < 0.05) were associated with being bullied. In multivariate analysis, ORs for categories of perceived overweight were virtually unchanged while ORs for actual overweight and obesity were substantially attenuated, suggesting a substantial role of perceived weight in the association with being bullied. Actual underweight and perceived thinness also tended to be associated with being bullied, although not significantly. Our findings suggest that more research attention be given to disentangling the significant association between body image, overweight and bullying among adolescents. Further studies in diverse populations are warranted.

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Three-dimensional imaging for the quantification of myocardial motion is a key step in the evaluation of cardiac disease. A tagged magnetic resonance imaging method that automatically tracks myocardial displacement in three dimensions is presented. Unlike other techniques, this method tracks both in-plane and through-plane motion from a single image plane without affecting the duration of image acquisition. A small z-encoding gradient is subsequently added to the refocusing lobe of the slice-selection gradient pulse in a slice following CSPAMM acquisition. An opposite polarity z-encoding gradient is added to the orthogonal tag direction. The additional z-gradients encode the instantaneous through plane position of the slice. The vertical and horizontal tags are used to resolve in-plane motion, while the added z-gradients is used to resolve through-plane motion. Postprocessing automatically decodes the acquired data and tracks the three-dimensional displacement of every material point within the image plane for each cine frame. Experiments include both a phantom and in vivo human validation. These studies demonstrate that the simultaneous extraction of both in-plane and through-plane displacements and pathlines from tagged images is achievable. This capability should open up new avenues for the automatic quantification of cardiac motion and strain for scientific and clinical purposes.

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We present a novel approach for analyzing single-trial electroencephalography (EEG) data, using topographic information. The method allows for visualizing event-related potentials using all the electrodes of recordings overcoming the problem of previous approaches that required electrode selection and waveforms filtering. We apply this method to EEG data from an auditory object recognition experiment that we have previously analyzed at an ERP level. Temporally structured periods were statistically identified wherein a given topography predominated without any prior information about the temporal behavior. In addition to providing novel methods for EEG analysis, the data indicate that ERPs are reliably observable at a single-trial level when examined topographically.