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1

Booth, Jeremy T. "Modelling the impact of treatment uncertainties in radiotherapy." Adelaide, S.A, 2002. http://web4.library.adelaide.edu.au/theses/09PH/09phb7255.pdf.

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Copies of the author's published articles derived from this thesis work are included in appendix. Bibliography: p. 223-237. This thesis involves three major streams of research including investigation of the actual dose delivered to target and normal tissue, the effect of dose uncertainty on radiobiological indices, and techniques to display the dose uncertainty in a treatment planning system. All of the analyses are performed with the dose distribution from a four-field box treatment using 6 MV photons.
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2

Stergiou, Evangelos Kiremidjian Anne S. "Treatment of uncertainties in seismic-risk analysis of transportation systems /." Berkeley, Calif. : Pacific Earthquake Engineering Research Center, 2008. http://peer.berkeley.edu/publications/peer_reports.html.

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3

Eleftheriadou, Viktoria. "Setting priorities and reducing uncertainties for the treatment of vitiligo." Thesis, University of Nottingham, 2013. http://eprints.nottingham.ac.uk/13378/.

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Vitiligo is the most common skin disorder resulting in depigmentation, but high-quality research is lacking. A Cochrane review of interventions for vitiligo published in 2010 highlighted methodological limitations with existing trials; which have generally been too small and heterogeneous to inform clinical recommendations. The objective of this thesis was to improve the evidence base for the treatment of vitiligo. This PhD was funded by the National Institute for Health Research, as part of the research programme called “Setting Priorities and Reducing Uncertainties for people with Skin Disea
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4

Pun, Betty Kong-Ling 1970. "Treatment of uncertainties in atmospheric chemical systems : by Betty Kong-Ling Pun." Thesis, Massachusetts Institute of Technology, 1998. http://hdl.handle.net/1721.1/10066.

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5

Doolan, P. J. "The use of proton radiography to reduce uncertainties in proton treatment planning." Thesis, University College London (University of London), 2015. http://discovery.ucl.ac.uk/1460483/.

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The availability and demand for proton therapy is rapidly expanding across the globe. One of the key decisions that must be made in the procurement process by all new centres is which proton treatment planning system (TPS) to purchase. The first topic of this thesis is therefore to evaluate the performance of three different proton TPSs in the planning of ten meningioma patients. The comparison is built upwards from the beam commissioning and attempts are made to make as many variables as possible consistent between systems. Few statistically significant differences were found between the plan
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6

Li, Lin. "Treatment of Uncertainties in Vehicle and Terramechanics Systems Using a Polynomial Chaos Approach." Diss., Virginia Tech, 2008. http://hdl.handle.net/10919/29030.

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Mechanical systems always operate under some degree of uncertainty, which can be due to the inherent properties of the system parameters, to random inputs or external excitations, to poorly known parameters in the interface between different systems, or to inadequate knowledge of the dynamic process. Also, mechanical systems are large and highly nonlinear, while the magnitude of uncertainties may be very large. This dissertation addresses the critical need for understanding of the stochastic nature of mechanical system, especially vehicle and terramechanics systems, and need for developing eff
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7

Moore, Joseph. "Radiation therapy treatment plan optimization accounting for random and systematic patient setup uncertainties." VCU Scholars Compass, 2011. http://scholarscompass.vcu.edu/etd/218.

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External-beam radiotherapy is one of the primary methods for treating cancer. Typically a radiotherapy treatment course consists of radiation delivered to the patient in multiple daily treatment fractions over 6-8 weeks. Each fraction requires the patient to be aligned with the image acquired before the treatment course used in treatment planning. Unfortunately, patient alignment is not perfect and results in residual errors in patient setup. The standard technique for dealing with errors in patient setup is to expand the volume of the target by some margin to ensure the target receives the pl
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8

Warren, Daniel Rosevear. "Proton radiotherapy uncertainties arising from computed tomography." Thesis, University of Oxford, 2014. http://ora.ox.ac.uk/objects/uuid:ab59f596-e277-490a-a7c1-1cb81b47b9a9.

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Proton radiotherapy is a cancer treatment which has the potential to offer greater cure rates and/or fewer serious side effects than conventional radiotherapy. Its availability in the UK is currently limited to a single low-energy fixed beamline for the treatment of ocular tumours, but a number of facilities designed to treat deep-seated tumours are in development. This thesis focusses on the quantitative use of x-ray computed tomography (CT) images in planning proton radiotherapy treatments. It arrives at several recommendations that can be used to inform clinical protocols for the acquisitio
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9

Ödén, Jakob. "Proton plan evaluation : a framework accounting for treatment uncertainties and variable relative biological effectiveness." Licentiate thesis, Stockholms universitet, Fysikum, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-146256.

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10

Trefz, Isaac (Isaac Paul) 1971. "A comparison of methods for the treatment of uncertainties in the modeling of complex systems." Thesis, Massachusetts Institute of Technology, 1998. http://hdl.handle.net/1721.1/47509.

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11

Tilly, David. "Probabilistic treatment planning based on dose coverage : How to quantify and minimize the effects of geometric uncertainties in radiotherapy." Doctoral thesis, Uppsala universitet, Medicinsk strålningsvetenskap, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-304180.

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Traditionally, uncertainties are handled by expanding the irradiated volume to ensure target dose coverage to a certain probability. The uncertainties arise from e.g. the uncertainty in positioning of the patient at every fraction, organ motion and in defining the region of interests on the acquired images. The applied margins are inherently population based and do not exploit the geometry of the individual patient. Probabilistic planning on the other hand incorporates the uncertainties directly into the treatment optimization and therefore has more degrees of freedom to tailor the dose distri
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12

Xu, Huijun. "A study of coverage optimized planning incorporating models of geometric uncertainties for prostate cancer." VCU Scholars Compass, 2013. http://scholarscompass.vcu.edu/etd/3061.

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A fundamental challenge in the treatment planning process of multi-fractional external-beam radiation therapy (EBRT) is the tradeoff between tumor control and normal tissue sparing in the presence of geometric uncertainties (GUs). To accommodate GUs, the conventional way is to use an empirical planning treatment volume (PTV) margin on the treatment target. However, it is difficult to determine a near-optimal PTV margin to ensure specified target coverage with as much normal tissue protection as achievable. Coverage optimized planning (COP) avoids this problem by optimizing dose in possible
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13

Sentker, Thilo [Verfasser], and Florian [Akademischer Betreuer] Grüner. "Feasibility and uncertainties of 4D dose simulation for post-treatment quality assurance in radiotherapy of moving targets / Thilo Sentker ; Betreuer: Florian Grüner." Hamburg : Staats- und Universitätsbibliothek Hamburg, 2020. http://d-nb.info/121218100X/34.

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14

Kamp, Florian [Verfasser], Jan J. [Akademischer Betreuer] Wilkens, and Franz [Akademischer Betreuer] Pfeiffer. "Uncertainties in biological dose response models and their integration in treatment planning of carbon ion therapy / Florian Kamp. Gutachter: Jan J. Wilkens ; Franz Pfeiffer. Betreuer: Jan J. Wilkens." München : Universitätsbibliothek der TU München, 2015. http://d-nb.info/1069127795/34.

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15

Carvalho, Claudio Bezerra de. "Avaliação critica do planejamento energetico de longo prazo no Brasil, com enfase no tratamento das incertezas e descentralização do processo." [s.n.], 2005. http://repositorio.unicamp.br/jspui/handle/REPOSIP/264571.

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Orientador: Sergio Valdir Bajay<br>Tese (doutorado) - Universidade Estadual de Campinas, Faculdade de Engenharia Mecanica<br>Made available in DSpace on 2018-08-06T05:07:08Z (GMT). No. of bitstreams: 1 Carvalho_ClaudioBezerrade_D.pdf: 1717945 bytes, checksum: 278bbb29104ec96389a1e6616a1dc209 (MD5) Previous issue date: 2005<br>Resumo: Este trabalho traz uma avaliação critica do planejamento energético de longo prazo realizado no Pais nos últimos anos e aponta tanto para a necessidade de uma melhor integração entre as atividades de planejamento energético, elaboração de políticas públicas e re
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16

Katafygiotis, Lambros S. "Treatment of model uncertainties in structural dynamics." Thesis, 1991. https://thesis.library.caltech.edu/6349/1/Katafygiotis_ls_1991.pdf.

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The uncertainties related to the modeling of the dynamic behavior of a structure are analyzed using a probabilistic approach. First, the case of preliminary design is addressed, where the structure has not yet been built. A new efficient and accurate numerical method is proposed to investigate the resulting uncertainties in the structural response due to uncertainties in the modeling process, where engineering judgement is used to quantify the latter uncertainties. Second, the case where records of measured structural response are available to reduce the uncertainties in the structural m
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17

Katafygiotis, Lambros Solon. "Treatment of Model Uncertainties in Structural Dynamics." Thesis, 1991. https://thesis.library.caltech.edu/6349/1/Katafygiotis_ls_1991.pdf.

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<p>The uncertainties related to the modeling of the dynamic behavior of a structure are analyzed using a probabilistic approach.</p> <p>First, the case of preliminary design is addressed, where the structure has not yet been built. A new efficient and accurate numerical method is proposed to investigate the resulting uncertainties in the structural response due to uncertainties in the modeling process, where engineering judgement is used to quantify the latter uncertainties.</p> <p>Second, the case where records of measured structural response are available to reduce the uncertainties in
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18

Booth, Jeremy T. "Modelling the impact of treatment uncertainties in radiotherapy." Thesis, 2002. http://hdl.handle.net/2440/37817.

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Uncertainties are inevitably part of the radiotherapy process. Uncertainty in the dose deposited in the tumour exists due to organ motion, patient positioning errors, fluctuations in machine output, delineation of regions of interest, the modality of imaging used, and treatment planning algorithm assumptions among others; there is uncertainty in the dose required to eradicate a tumour due to interpatient variations in patient-specific variables such as their sensitivity to radiation; and there is uncertainty in the dose-volume restraints that limit dose to normal tissue. This thesis involve
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19

Cranmer-Sargison, Gavin. "Quantifying the impact of radiation therapy dose uncertainties on radiobiological treatment plan evaluation." Thesis, 2005. http://hdl.handle.net/1828/1827.

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The goal of this study was to quantify the impact of dose uncertainty on radio-biological treatment plan evaluation. A formalism was developed for assessing the impact of dose uncertainty on survival fraction (SF). To distinguish between spatial and probabilistic dose variations, we define equivalent stochastic dose (ESD) as the voxel dose that gives an expected survival fraction for the randomly deposited dose. In the case where the probabilistic voxel dose follows a Gaussian distribution, we de-rive an analytic expression for SF(ESD). We show the analytic expression can account for multi-vox
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20

Sousa, Luís Miguel da Costa. "Development of Innovative Methodologies for the Treatment of Uncertainties in the Earthquake Loss Estimation of Building Portfolios." Doctoral thesis, 2017. https://repositorio-aberto.up.pt/handle/10216/105056.

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21

Sousa, Luís Miguel da Costa. "Development of Innovative Methodologies for the Treatment of Uncertainties in the Earthquake Loss Estimation of Building Portfolios." Tese, 2017. https://repositorio-aberto.up.pt/handle/10216/105056.

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