Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 10 of 10 for “"dose prediction"”.
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Polymer dose prediction for sludge dewatering with a belt filter press
… to belt speed, sludge throughput, and polymer dose. Data indicated that the conditioning and dewatering scheme of the three belt filter presses was a low shear, low total mixing energy operation. The Gt, or total mixing energy, of these operations was in the range of 8,000-12,000. Optimal dose …
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Reducing radiation dose for a linear slot scanning digital X-ray machine using a filtration technique
… digital X-ray system to reduce radiation dose to paediatric patients whilst preserving diagnostic image quality. The Statscan is an FDA approved, commercially available digital X-ray system commonly used for trauma and emergency patients. The Statscan provides significantly lower radiation …
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Alternating Minimization Algorithms for Dual-Energy X-Ray CT Imaging and Information Optimization
… by applications in radiation oncology, including dose prediction in proton therapy and brachytherapy.</p><p>In proton therapy dose prediction, the stopping power calculation is based on estimates of the electron density and mean excitation energy. In turn, the estimates of the linear attenuation …
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Increasing Inclusion of Participants, Leveraging Gut Microbiomes, and Optimizing Machine Learning Models to Advance Warfarin Precision Medicine
… can be challenging due to large interpatient dose variability and a narrow therapeutic window. Warfarin genotype-guided dose prediction models currently can account for approximately 50% of the total variability seen across patients, however, this number can also be as low as 20% in diverse …
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CHARACTERIZATION OF BREAST RT TREATMENT BY MULTI-INSTITUTIONAL AI-KNOWLEDGE-BASED PLANNING OPTIMIZATION MODELS
… tool based on artificial intelligence to predict dose distribution to Organs at Risk, particularly the heart, in breast cancer radiotherapy. The goal is to enable physicists to quickly assess, via computed tomography (CT), whether a tangential field plan is adequate or if alternative techniques, …
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Radiation dose measurement and prediction for linear slit scanning radiography
This study describes dose measurements made for linear slit scanning radiography (LSSR) and a dose prediction model that was developed for LSSR. The measurement and calculation methods used for determining entrance dose and effective dose (E) in conventional X-ray imaging systems were verified for …
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The Development of Artificial Intelligence-Based to ols For Expert Peer Review of Radiotherapy Treatment Plans
… is selected because it meets basic organ at risk dose thresholds for severe toxicity; however, it is evident that a plan with a decreased risk of normal tissue complication probability could be achieved. This discrepancy between “acceptable” and “best possible” plan is magnified if either the …
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Integration of Biomedical Imaging and Translational Approaches For Management of Head and Neck Cancer
… for monitoring and adaptation of radiation dose, prediction of tumor response and disease outcomes, and characterization of patterns of failure and normal tissue toxicity in head and neck cancer (HNC) patients with potentially curable tumors. In Aim 1, we showed that the currently available …
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Imaging Techniques for Proton Range Determination in Proton Therapy
… unlock the full potential of protons, accurate prediction of in vivo proton stopping power ratio (SPR) is required for proton therapy treatment planning. The current standard practice is to map SPR from Hounsfield Unit (HU) values of a single-energy computed tomography (SECT) scan through a …
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Utilization of Model-Based Approaches to Maximize Efficacy of Antibiotics for the Treatment of Mycobacterium abscessus Pulmonary Infection
<p>Prevalence and incidence of Mycobacterium abscessus (Mab) pulmonary infections have increased and been recognized as a major cause of mortality, particularly in certain patient populations, such as cystic fibrosis (CF) patients. Due to the intrinsic multidrug resistance mechanisms and biofilm …