En radiothérapie, le niveau de précision de la dose délivrée au patient au cours de son traitement est d’une importance essentielle dans l’évolution vers une amélioration de la qualité et de la cohérence des données de suivi. L’une des premières étapes vers un système de support à la décision clinique (Clinical-Decision Support System CDSS) est la reconstruction précise de cette dose délivrée, en prenant en compte les nombreux facteurs pouvant générer des déviations significatives entre la dose planifiée visualisée à l’écran par l’utilisateur et la dose réellement accumulée lors des séances de traitement. Ces facteurs incluent les variations de débit de l’accélérateur, les incertitudes d’étalonnage, de calcul de dose, les mouvements du patient et des organes, etc.L’objectif de cette étude est d’implémenter et tester une plate-forme de calcul Monte Carlo pour la validation des systèmes Cyberknife et Tomothérapie installés au Centre Oscar Lambret. L’étude d’un détecteur dédié aux petits faisceaux (la chambre d’ionisation microLion) est également incluse, ce détecteur étant particulièrement adapté aux mesures sur le système Cyberknife.Le contexte et les concepts théoriques sont introduits dans les deux premiers chapitres. Dans le troisième chapitre, la modélisation Monte Carlo du Cyberknife et du détecteur microLion est détaillée. La quatrième partie inclut la description de la plate-forme Moderato et de son module d’évaluation. Dans le dernier chapitre, la modélisation du dernier modèle de Cyberknife (M6) équipé d’un collimateur multi-lames est décrite. Une nouvelle technique est également introduite dans le but d’accélérer la recherche des paramètres du faisceau d’électrons pour un modèle Monte Carlo, permettant une intégration plus simple et automatisée de nouveaux appareils dans Moderato. / In radiation therapy, the accuracy of the dose delivered to the patient during the course of treatment is of great importance to progress towards improved quality and coherence of the outcome data. One of the first steps to evolve towards a Clinical-Decision Support System (CDSS) is to be able to accurately reconstruct that delivered dose, taking into account the range of factors that can potentially generate significant differences between the planned dose visualized on the screen of the dosimetrist, and the actually delivered dose accumulated during the treatment sessions. These factors include accelerator output variations, commissioning uncertainties, dose computation errors, patient and organ movement, etc.The objective of this work is to implement and test a Monte Carlo platform for the validation of the Cyberknife and Tomotherapy systems installed at Centre Oscar Lambret. A study of a small field-dedicated detector (the microLion ionization chamber) is also included, this detector being particularly suited for measurements on the Cyberknife system.The context and theoretical concepts are introduced in the first two chapters. In the third chapter, the Monte Carlo modelling of the Cyberknife and microLion detector is detailed. The fourth part includes the description of the Monte Carlo platform Moderato and its evaluation module. In the final chapter, the modelling of the latest MLC-equipped Cyberknife model (the M6) is described. A new technique is also introduced to accelerate the optimization of the beam electron parameters of a Monte Carlo model, thus allowing for an easier and more automated use of the Moderato system. / Doctorat en Sciences biomédicales et pharmaceutiques (Médecine) / info:eu-repo/semantics/nonPublished

In this paper we show that specific classes of graphs are reconstructible; we explore the relationship between the. reconstruction and edge-reconstruction conjectures; we prove that several classes of graphs are actually Harary to the reconstructible; and we give counterexamples reconstruction and edge-reconstruction conjectures for infinite graphs.

A methodology is presented for creating tomographic reconstructions from various projection data, and the relevance of the results to applications in atmospheric science and biomedical imaging is analyzed. The fundamental differences between transform and iterative methods are described and the properties of the imaging configurations are addressed. The presented results are particularly suited for highly ill-conditioned inverse problems in which the imaging data are restricted as a result of poor angular coverage, limited detector arrays, or insufficient access to an imaging region. The class of reconstruction algorithms commonly used in sparse tomography, the algebraic reconstruction techniques, is presented, analyzed, and compared. These algorithms are iterative in nature and their accuracy depends significantly on the initialization of the algorithm, the so-called initial guess. A considerable amount of research was conducted into novel initialization techniques as a means of improving the accuracy. The main body of this paper is comprised of three smaller papers, which describe the application of the presented methods to atmospheric and medical imaging modalities. The first paper details the measurement of mesospheric airglow emissions at two camera sites operated by Utah State University. Reconstructions of vertical airglow emission profiles are presented, including three-dimensional models of the layer formed using a novel fanning technique. The second paper describes the application of the method to the imaging of polar mesospheric clouds (PMCs) by NASA’s Aeronomy of Ice in the Mesosphere (AIM) satellite. The contrasting elements of straight-line and diffusive tomography are also discussed in the context of ill-conditioned imaging problems. A number of developing modalities in medical tomography use near-infrared light, which interacts strongly with biological tissue and results in significant optical scattering. In order to perform tomography on the diffused signal, simulations must be incorporated into the algorithm, which describe the sporadic photon migration. The third paper presents a novel Monte Carlo technique derived from the optical scattering solution for spheroidal particles designed to mimic mitochondria and deformed cell nuclei. Simulated results of optical diffusion are presented. The potential for improving existing imaging modalities through continual development of sparse tomography and optical scattering methods is discussed.

Digital breast tomosynthesis is a new technology that provides three-dimensional information of the breast and makes it possible to distinguish the cancer from overlying breast tissues. We are dedicated to optimizing image reconstruction and imaging configuration for a new multi-beam parallel digital breast tomosynthesis prototype system. Several commonly used algorithms from the typical image reconstruction models which were used for iso-centric tomosynthesis systems were investigated for our multi-beam parallel tomosynthesis imaging system. The representative algorithms, including back-projection (BP), filtered back-projection (FBP), matrix inversion tomosynthesis reconstruction (MITS), maximum likelihood expectation maximization (MLEM), ordered-subset maximum likelihood expectation maximization (OS-MLEM), simultaneous algebraic reconstruction technique (SART), were implemented to fit our system design. An accelerated MLEM algorithm was proposed, which significantly reduced the running time but had the same image quality. Furthermore, two statistical variants of BP reconstruction were validated for our tomosynthesis prototype system. Experiments based on phantoms and computer simulations show that the prototype system combined with our algorithms is capable of providing three-dimensional information of the objects with good image quality and has great potentials to improve digital breast tomosynthesis technology. Four methodologies were employed to optimize the reconstruction algorithms and different imaging configurations for the prototype system. A linear tomosynthesis imaging analysis tool was used to investigate blurring-out reconstruction algorithms. Computer simulations of sphere and wire objects aimed at the performance of out-of-plane artifact removal. A frequency-domain-based methodology, relative NEQ(f) analysis, was investigated to evaluate the overall system performance based on the propagation of signal and noise. Conclusions were made to determine the optimal image reconstruction algorithm and imaging configuration of this new multi-beam parallel digital breast tomosynthesis prototype system for better image quality and system performance.

No description available.

This thesis presents a survey of techniques to obtain the depth component from two­-dimensional (2D) images. Two common techniques - stereo and shape from shading are examined here. Their performance is compared with an emphasis on noting the fundamental limitations of each technique. An argument is presented which suggests an adjustment of the paradigm with which stereo and shape from shading have been treated in three-dimensional vision. The theoretical development of the stereo and lighting models is followed by experiments illustrating use of these models for a variety of objects in a scene. A comparison of the results provides a motivation for combining them in a particular way. This combination is developed, and its application is examined. Using the model that is consistent for both shape and lighting, significant improvement over either stereo or lighting models alone is shown. / Thesis / Master of Engineering (ME)

The exchange of topology information is a potential attack target in mobile ad-hoc networks. To provide an intrinsic security mechanism, it is possible to validate topology advertisements in the control plane against records of the path taken by transmission in the data plane. In this work, different path recording mechanisms are discussed. Their performance - in terms of packet overhead and reconstruction complexity - is analyzed and evaluated.

Eight functionally identified group Ia muscle afferents from triceps surae or plantaris muscles were labeled intraaxonally with horseradish peroxidase (HRP) in seven adult cats. Subsequently, HRP was injected into two to six homonymous or heteronymous α-motoneurons per animal (total = 22), each identified by motor unit type and located near the site of afferent injection. The complete trajectories of labeled afferents were reconstructed, and putative synaptic contacts on HRP-labeled motoneurons were identified at high magnification. Dendritic paths from each contact were also mapped and measured. A total of 24 contact systems (the combination of a group Ia afferent and a postsynaptic motoneuron) were reconstructed, of which 17 were homonymous, and seven were heteronymous. Overall, homonymous contact systems had an average of 9.6 boutons, whereas heteronymous contact systems had an average of 5.9 boutons. The average number of boutons found on type S motoneurons in homonymous contact systems was smaller (6.4, range 3-17) than in systems involving types FF or FR motoneurons (FF: 10.4, range 4-18; FR: 11.3, range 4-32). Neither of these differences were statistically significant. In contrast to earlier reports, a majority (15/24) of contact systems included more than one collateral from the same Ia afferent. The complexity (number of branch points) in the arborization pathway leading to each contact (overall mean 8.4 ± 3.3) was virtually identical in all contact systems, irrespective of the type of the postsynaptic motoneuron. The three- dimensional distribution of group Ia contacts was not coextensive with the radially organized dendrites of motoneurons: Dendrites oriented in the ventromedial to dorsolateral axis had the fewest (8%) contacts, whereas rostrocaudal dendrites had the most (63%) contacts. Nevertheless, contacts were widely distributed on the motoneuron surface, with few on and near the soma (≤200 μm radial distance from the soma) or on the most distal parts of the tree (≤1,000 μm). The boutons in individual contact systems also showed wide spatial and estimated electrotonic distributions; only 3/24 systems had all contact located within a restricted spatial/electrotonic region. The relations between these anatomical results and existing electrophysiological data on group Ia synaptic potentials are discussed.

The basic objective is of adaptation of the castle is integration to tourism development in the region and simultaneously make the castle and town more attractive for residents. The resort´s own castle is functionally divided into three centers. The first courtyard is the tourist center of the region, the second courtyard recreation center and third courtyard cultural centre. Three courtyard are surrounded by restored rampart promenade, which also connects the castle courtyard with recreational and educative castle park, in which are stationed various pavilions informing tourists about the historical, architectural and natural values of Brtnice and its environs. In the park is also located amphitheater for cultural and musical events. The castle has become a great park of activities pulling into its bowels town visitors and inhabitants of Brtnice themselves. The main dominant of the complex is new tower Brtnice, which grows on the historic footprint of burnt tower. High-tech architecture of tower attracts visitors of the city and is the starting point of castle viewing. It brings together the functions of the Information Center, phaenomania, souvenir shop, cafe and roof garden, which is also a cafe terrace and outlook. Oriels of tower are oriented to the surrounding important historical monuments. Visitors pass through peripheral “gallery of knowledge” and recognize beauty of the town and its environs.

Reconstruction of the former freight station in Zizkov in Prague. Industrial atmosphere is surrounding every visitor of the area and it is worth to keep it this way.