"The thesis includes fundamental work in the following, · Development of materials database which includes the main parameters of the various heat transfer models · Validation and testing of the system capability and accuracy by means of various case studies A computer aided heat treatment planning system (CAHTPS) is developed to assist the heat treatment process. The temperature distribution inside the furnace and the temperature of the various parts in the load can be determined. The various models for the heat treatment are analyzed and the various parameters in the equations are classified. The majority of the equations parameters were properties of various metals and non metals. Hence an extensive database is developed so as to assist the models. The remaining physical conditions dependent parameters of the models were analyzed and the effects due to change in the conditions and these parameters are tested and studied by various case studies. The change in the loading pattern effects and change in the load quantity effects for the various cases are presented. The thesis work establishes the system’s application scope and the accuracy to be used in the current heat treatment industries."

No description available.

La radiothérapie stéréotaxique par rayonnement synchrotron (SSRT) est une technique innovante utilisant un faisceau synchrotron de rayons X monochromatiques entre 50 et 100 keV. Une augmentation de dose par prise de contraste est obtenue localement par effet photoélectrique sur unélément lourd injecté dans le volume cible (tumeur cérébrale). Des essais cliniques de SSRT sont encours de préparation à l’ESRF (établissement européen de rayonnement synchrotron). Un systèmede planification de traitement (TPS) est nécessaire pour le calcul de l’énergie déposée au patient(dose) pendant le traitement. Une version dédiée du TPS ISOgray a donc été développée. Ce travaildécrit l’adaptation du TPS réalisée, particulièrement au niveau du module de simulation virtuelleet de dosimétrie. Pour un calcul de dose, le TPS utilise une simulation Monte Carlo spécifique desphotons polarisés et de basse énergie. Les simulations sont réalisées depuis la source synchrotron,à travers toute la géométrie de la ligne de lumière modélisée et dans le patient. Pour ce calcul, desmatériaux spécifiques ont été notamment ajoutés pour la modélisation voxélisée du patient, afin deprendre en compte la présence d’iode dans certains tissus. Le processus de calcul Monte Carlo a étéoptimisé en vitesse et précision. De plus, un calcul des doses absolues et des temps d’irradiation,particulier à la SSRT, a été ajouté au TPS. Grâce à des mesures de rendements, profils de dose, etdoses absolues, réalisées à l’ESRF en cuve à eau et en fantôme solide avec ou sans couche d’os, lecalcul de dose du TPS a été validé pour la SSRT. / Contrast-enhanced stereotactic synchrotron radiation therapy (SSRT) is an innovative techniquebased on localized dose-enhancement effects obtained by reinforced photoelectric absorption inthe tumor. Medium energy monochromatic X-rays (50 - 100 keV) are used for irradiating tumorspreviously loaded with a high-Z element. Clinical trials of SSRT are being prepared at the EuropeanSynchrotron Radiation Facility (ESRF), an iodinated contrast agent will be used. In order tocompute the energy deposited in the patient (dose), a dedicated treatment planning system (TPS)has been developed for the clinical trials, based on the ISOgray TPS. This work focuses on the SSRTspecific modifications of the TPS, especially to the PENELOPE-based Monte Carlo dose engine. TheTPS uses a dedicated Monte Carlo simulation of medium energy polarized photons to compute thedeposited energy in the patient. Simulations are performed considering the synchrotron source, themodeled beamline geometry and finally the patient. Specific materials were also implemented inthe voxelized geometry of the patient, to consider iodine concentrations in the tumor. The computationprocess has been optimized and parallelized. Finally a specific computation of absolute dosesand associated irradiation times (instead of monitor units) was implemented. The dedicated TPSwas validated with depth dose curves, dose profiles and absolute dose measurements performedat the ESRF in a water tank and solid water phantoms with or without bone slabs.

Intensity modulated arc therapy is a novel treatment technique that has shown great potential to be superior to conventional intensity modulated radiotherapy, both in terms of treatment plan quality as well as treatment delivery. Based on previous literature, a simplified technique called two-step intensity modulated arc therapy (2-step IMAT) was implemented into a treatment planning system. In order to automatically generate treatment plans for this technique, a beam portal shaping method was developed to generate beam segments. A sensitivity analysis was carried out on a geometric phantom to determine optimal parameters for the 2-step IMAT implementation for that particular phantom. The segment weights were optimized using the dose-based and dose-volume-based objective functions. The optimal solution search was based on the gradient-descend algorithm. The dose-based objective function was implemented using a so-called lambda-value-dose-based objective function developed in this work in order to increase both speed and flexibility of the optimization. The successful implementation demonstrated the feasibility of automatic 2-step IMAT treatment planning. A comparison of conventional arc therapy and 2-step IMAT showed improvements in the target dose uniformity by about 50% for both geometric phantom and clinical paraspinal tumor case, whilst also improving the organ sparing. The comparisons between the lambda-value-dose-based and dose-volume-based optimizations showed a speed advantage of the former by a factor of over five in the phantom study. The current beam portal shaping approach can be improved by optimizing the segment width and including multiple organs-at-risk in the segment generation algorithm. Future work will also include the implementation of a stochastic optimization to minimize the chance of getting trapped in local minima during the segment weight optimization. In summary, the work of this research showed that the automatic 2-step IMAT planning is a viable technique that can result in highly conformal plans while keeping the treatment planning and delivery simple and straightforward.

L'objectif principal de cette thèse est de développer et optimiser les algorithmes caractérisant les propriétés physiques et biologiques des mini-faisceaux de protons pour la réalisation des traitements avec modulation d'intensité. Un modèle basé sur la superposition et décomposition des mini-faisceaux en faisceaux élémentaires a été utilisé. Un nouveau modèle de description des mini-faisceaux primaires a été développé à partir de la sommation de trois fonctions gaussiennes. Les algorithmes ont été intégrés dans un logiciel de planification de traitement, puis validés expérimentalement et par comparaison avec des simulations Monte Carlo. Des approximations ont été réalisées et validées afin de réduire les temps de calcul en vue d'une utilisation clinique. Dans un deuxième temps, un travail en collaboration avec les équipes de radiobiologie de l'institut Curie a été réalisé afin d'introduire des résultats radiobiologiques dans l'optimisation biologique des plans de traitement. En effet, les faisceaux balayés sont délivrés avec des débits de dose très élevés (de 10 à 100 Gy/s) et de façon discontinue, et l'efficacité biologique des protons est encore relativement méconnue vue la diversité d'utilisation de ces faisceaux : les différents modèles disponibles et notamment leur dépendance avec le transfert d'énergie linéique ont été étudiés. De bons accords (écarts inférieurs à 3 % et 2 mm) ont été obtenus entre calculs et mesures de dose. Un protocole d'expérimentation pour caractériser les effets des hauts débits pulsés a été mis en place et les premiers résultats obtenus sur une lignée cellulaire suggèrent des variations d'efficacité biologique inférieures à 10 %, avec toutefois de larges incertitudes. / The main objective of this thesis is to develop and optimize algorithms for intensity modulated proton therapy, taking into account the physical and biological pencil beam properties. A model based on the summation and fluence weighted division of the pencil beams has been used. A new parameterization of the lateral dose distribution has been developed using a combination of three Gaussian functions. The algorithms have been implemented into a treatment planning system, then experimentally validated and compared with Monte Carlo simulations. Some approximations have been made and validated in order to achieve reasonable calculation times for clinical purposes. In a second phase, a collaboration with Institut Curie radiobiological teams has been started in order to implement radiobiological parameters and results into the optimization loop of the treatment planning process. Indeed, scanned pencil beams are pulsed and delivered at high dose rates (from 10 to 100 Gy/s), and the relative biological efficiency of protons is still relatively unknown given the wide diversity of use of these beams: the different models available and their dependence with linear energy transfers have been studied. A good agreement between dose calculations and measurements (deviations lower than 3 % and 2 mm) has been obtained. An experimental protocol has been set in order to qualify pulsed high dose rate effects and preliminary results obtained on one cell line suggested variations of the biological efficiency up to 10 %, though with large uncertainties.

Orientador: Marco Antônio Rodrigues Fernandes / Resumo: Este trabalho apresenta um estudo de planos radioterápicos realizados com o Sistema de Planejamento de Tratamento (TPS) XiO 5.10, utilizados em centros de radioterapia. Foram analisados os protocolos clínicos de radioterapia através de pesquisa bibliográfica em artigos científicos e textos produzidos pelas sociedades especializadas da área da radioncologia. Foram realizadas visitas técnicas junto a serviços de radioterapia para melhor entendimento das diferenças entre os distintos sistemas de planejamentos radioterápicos aplicados. A pesquisa verificou a resposta de três diferentes algoritmos computacionais de cálculo de dose de radiação: Superposition, Convolution e Fast Superposition, disponíveis no TPS XiO® da Elekta Medical Systems. Para isto foram analisados os parâmetros de distribuição de dose para 22 planejamentos radioterápicos realizados em uma clínica de radioterapia privada, sendo: 1 paciente com metástase cerebral, 3 pacientes com tumores de cabeça e pescoço, 9 com câncer de mama e 9 com tumores da próstata. Também foi quantificada a influência da heterogeneidade do tecido irradiado, através dos métodos de correção de heterogeneidade do XiO. Independentemente da correção de heterogeneidade do tecido, de um modo geral, o algoritmo de Convolution tendeu a subestimar a dose no PTV quando comparado com os outros dois algoritmos de cálculo de dose. Não foram percebidas diferenças significativas nos valores de dose de radiação calculados para o PTV, determinadas com os... (Resumo completo, clicar acesso eletrônico abaixo) / Abstract: This paper bring forward a study of radiotherapeutic planning accomplished by XiO 5.10 treatment planning systems utilized in radiotherapic centers. The clinical protocols of radiotherapy were analyzed through bibliographic research in scientific articles and texts produced by societies related to the area of radioncology. . Technical reconnaissance visits were performed in radiotherapy services for a better understanding of the differences between the systems of radiotherapy planning applied. The research verified the response of three distinct computational algorithms of calculation of dose radiation: Superposition, Convolution and Fast Superposition, available in the Tps XiO® of Elekta Medical Systems. For this purpose, were analyzed the dose distribution parameters for 22 radiotherapy plans performed in a private radiotherapy clinic: 1 patient with cerebral metastasis, 3 patients with head and neck tumors, 9 with breast cancer and 9 with prostate tumors . The influence of the heterogeneity of the irradiated tissue was also quantified through the XiO heterogeneity correction methods. Regardless of the correction of tissue heterogeneity, the Convolution algorithm tended to, in general, underestimate the dose in the PTV when compared to the other two dose calculation algorithms. No significant differences were observed in the radiation dose values calculated for the PTV, determined with the other two algorithms, however, the Superposition method provides a slight reduction o... (Complete abstract click electronic access below) / Mestre

Submitted by Henrique Barcellos Campanelli null (henrique.barcellos@aluno.ibb.unesp.br) on 2018-03-21T19:10:05Z No. of bitstreams: 1 Dissertação Henrique B Campanelli.pdf: 1741646 bytes, checksum: 36fc92e7787c2620fa984fb8bcfeedf4 (MD5) / Approved for entry into archive by Luciana Pizzani null (luciana@btu.unesp.br) on 2018-03-22T15:09:17Z (GMT) No. of bitstreams: 1 campanelli_hb_me_bot.pdf: 1741646 bytes, checksum: 36fc92e7787c2620fa984fb8bcfeedf4 (MD5) / Made available in DSpace on 2018-03-22T15:09:17Z (GMT). No. of bitstreams: 1 campanelli_hb_me_bot.pdf: 1741646 bytes, checksum: 36fc92e7787c2620fa984fb8bcfeedf4 (MD5) Previous issue date: 2018-02-23 / Outra / Este trabalho apresenta um estudo de planos radioterápicos realizados com o Sistema de Planejamento de Tratamento (TPS) XiO 5.10, utilizados em centros de radioterapia. Foram analisados os protocolos clínicos de radioterapia através de pesquisa bibliográfica em artigos científicos e textos produzidos pelas sociedades especializadas da área da radioncologia. Foram realizadas visitas técnicas junto a serviços de radioterapia para melhor entendimento das diferenças entre os distintos sistemas de planejamentos radioterápicos aplicados. A pesquisa verificou a resposta de três diferentes algoritmos computacionais de cálculo de dose de radiação: Superposition, Convolution e Fast Superposition, disponíveis no TPS XiO® da Elekta Medical Systems. Para isto foram analisados os parâmetros de distribuição de dose para 22 planejamentos radioterápicos realizados em uma clínica de radioterapia privada, sendo: 1 paciente com metástase cerebral, 3 pacientes com tumores de cabeça e pescoço, 9 com câncer de mama e 9 com tumores da próstata. Também foi quantificada a influência da heterogeneidade do tecido irradiado, através dos métodos de correção de heterogeneidade do XiO. Independentemente da correção de heterogeneidade do tecido, de um modo geral, o algoritmo de Convolution tendeu a subestimar a dose no PTV quando comparado com os outros dois algoritmos de cálculo de dose. Não foram percebidas diferenças significativas nos valores de dose de radiação calculados para o PTV, determinadas com os outros dois algoritmos, no entanto, o método Superposition proporciona leve redução do tempo de processamento computacional. O trabalho pretende contribuir para uma melhor compreensão da sistemática de cálculo do TPS XiO e assim, beneficiar os usuários dos planejamentos computadorizados durante a análise dos indicadores da qualidade do plano de tratamento. / This paper bring forward a study of radiotherapeutic planning accomplished by XiO 5.10 treatment planning systems utilized in radiotherapic centers. The clinical protocols of radiotherapy were analyzed through bibliographic research in scientific articles and texts produced by societies related to the area of radioncology. . Technical reconnaissance visits were performed in radiotherapy services for a better understanding of the differences between the systems of radiotherapy planning applied. The research verified the response of three distinct computational algorithms of calculation of dose radiation: Superposition, Convolution and Fast Superposition, available in the Tps XiO® of Elekta Medical Systems. For this purpose, were analyzed the dose distribution parameters for 22 radiotherapy plans performed in a private radiotherapy clinic: 1 patient with cerebral metastasis, 3 patients with head and neck tumors, 9 with breast cancer and 9 with prostate tumors . The influence of the heterogeneity of the irradiated tissue was also quantified through the XiO heterogeneity correction methods. Regardless of the correction of tissue heterogeneity, the Convolution algorithm tended to, in general, underestimate the dose in the PTV when compared to the other two dose calculation algorithms. No significant differences were observed in the radiation dose values calculated for the PTV, determined with the other two algorithms, however, the Superposition method provides a slight reduction of computational processing time. This paper aims to contribute to a better understanding of the systematics of TPS XiO calculation and thus, to benefit the users of the computerized planning during the analysis of the quality indicators of the treatment plan. / empresa privada

The radiotherapy clinics in Sweden have been without a functioning national platform consisting of dose data from patients undergoing radiotherapy. A national collaboration between clinics will improve the quality of radiotherapy since clinics will be able to compare dose data from treatment plans between clinics. It will also help and improve future researches in radiotherapy. A new national quality registry for radiotherapy in Sweden is under development and is located on the INCA platform. The aim of this study is to do a quality assurance of the INCA registry. The data stored in the registry are calculated from the treatment plans stored locally at the clinics. The quality assurance of the registry is done by creating a program run by Python code and by using Streamlit as the graphical user interface. The program takes dose and volume data from the dose volume histograms located in treatment plans from the INCA database and compares it with the dose and volume data from the local clinics' treatment planning system. The different treatment planning systems considered in the program are Oncentra(Elekta, Sweden), Eclipse(Varian, U.S.), RayStation(RaySearch Laboratories, Sweden) and Monaco(Electa, Sweden). The compared absorbed doses are the dose to 99% of the structure volume(D99%), D98%, D50%, D2% and D1%. The program generates how much the INCA data differs from the TPS data in percent and is named QARS(Quality Assurance of the Radiotherapy Database in Sweden). A verification of the created program and a preliminary evaluation is done on a limited dataset containing three patient groups(prostate patients, lung patients and head and neck patients) with five patients in each group. The dataset is run through the program with patient data from both Oncentra and Eclipse. The result indicates that all the near-maximum doses, D2% and D1% in INCA are very close to their corresponding TPS dose. There is a more noticeable difference in the near-minimum doses, D99% and D98% but also for some D50% where the difference seems to increase in larger structure volumes with very low doses and in very small structure volumes, smaller than 0.01 cm3. It is compared how well INCA agrees with Oncentra and Eclipse respectively and it is clear that Eclipse has a smaller difference to INCA than Oncentra for structures with very small volumes and larger structures with low doses. To summarise the study, it generates a program for quality assurance of the national quality registry for radiotherapy in Sweden which hopefully can help improve the quality of radiotherapy and help future researches in the field.

No description available.

Two innovative radiotherapy (RT) approaches are under development at the ID17 Biomedical Beamline of the European Synchrotron Radiation Facility (ESRF): microbeam radiation therapy (MRT) and minibeam radiation therapy (MBRT). The two main distinct characteristics with respect to conventional RT are the use of submillimetric field sizes and spatial fractionation of the dose. This PhD work deals with different features related to small-field dosimetry involved in these techniques. Monte Carlo (MC) calculations and several experimental methods are used with this aim in mind. The core of this PhD Thesis consisted of the development and benchmarking of an MC-based computation engine for a treatment planning system devoted to MRT within the framework of the preparation of forthcoming MRT clinical trials. Additional achievements were the definition of safe MRT irradiation protocols, the assessment of scatter factors in MRT, the further improvement of the MRT therapeutic index by injecting a contrast agent into the tumour and the definition of a dosimetry protocol for preclinical trials in MBRT.