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Dissertations / Theses on the topic 'Radiation therapy planning'

Author: Grafiati

Published: 4 June 2021

Last updated: 2 February 2022

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1

Balsells, Alex T. "Computational Methods for Radiation Therapy Planning." Case Western Reserve University School of Graduate Studies / OhioLINK, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=case1557844457085534.

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2

Kumar, Arvind. "Novel methods for intensity modulated radiation therapy treatment planning." [Gainesville, Fla.] : University of Florida, 2005. http://purl.fcla.edu/fcla/etd/UFE0011543.

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3

Zhang, Tianfang. "Machine learning multicriteria optimization in radiation therapy treatment planning." Thesis, KTH, Matematisk statistik, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-257509.

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In radiation therapy treatment planning, recent works have used machine learning based on historically delivered plans to automate the process of producing clinically acceptable plans. Compared to traditional approaches such as repeated weighted-sum optimization or multicriteria optimization (MCO), automated planning methods have, in general, the benefits of low computational times and minimal user interaction, but on the other hand lack the flexibility associated with general-purpose frameworks such as MCO. Machine learning approaches can be especially sensitive to deviations in their dose pr

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4

Bokrantz, Rasmus. "Multicriteria optimization for managing tradeoffs in radiation therapy treatment planning." Doctoral thesis, KTH, Optimeringslära och systemteori, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-122663.

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Treatment planning for radiation therapy inherently involves tradeoffs, such as between tumor control and normal tissue sparing, between time-efficiency and dose quality, and between nominal plan quality and robustness. The purpose of this thesis is to develop methods that can facilitate decision making related to such tradeoffs. The main focus of the thesis is on multicriteria optimization methods where a representative set of treatment plans are first calculated and the most appropriate plan contained in this representation then selected by the treatment planner through continuous interpolat

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5

Men, Chunhua. "Optimization models for radiation therapy treatment planning and patient scheduling /." [Gainesville, Fla.] : University of Florida, 2009. http://purl.fcla.edu/fcla/etd/UFE0025021.

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6

Iori, Mauro. "Rotational intensity modulated radiation therapy : dosimetric, treatment planning, and radiobiological aspects." Thesis, University of Liverpool, 2011. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.569581.

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The introduction in Radiation Oncology of x-ray beams fluence modulation, the treatment technique known as Intensity Modulated Radiation Therapy (IMRT), is leading to the flourishing of new and increasingly sophisticated treatments. It is within this context that delivery systems have been evolving from static to rotational IMRT techniques through which significant advantages have occurred in terms of treatment plan quality, delivery efficiency and accuracy, although paying the price of longer calculation times for the plan optimization. The point has been reached where the perceived advantage

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7

Thapa, Bishnu Bahadur. "DEVELOPMENT OF A PATIENT SPECIFIC IMAGE PLANNING SYSTEM FOR RADIATION THERAPY." UKnowledge, 2013. http://uknowledge.uky.edu/physastron_etds/11.

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A patient specific image planning system (IPS) was developed that can be used to assist in kV imaging technique selection during localization for radiotherapy. The IPS algorithm performs a divergent ray-trace through a three dimensional computed tomography (CT) data set. Energy-specific attenuation through each voxel of the CT data set is calculated and imaging detector response is integrated into the algorithm to determine the absolute values of pixel intensity and image contrast. Phantom testing demonstrated that image contrast resulting from under exposure, over exposure as well as a contra

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8

Eriksson, Oskar. "Scenario dose prediction for robust automated treatment planning in radiation therapy." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-302568.

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Cancer is a group of diseases that are characterized by abnormal cell growth and is considered a leading cause of death globally. There are a number of different cancer treatment modalities, one of which is radiation therapy. In radiation therapy treatment planning, it is important to make sure that enough radiation is delivered to the tumor and that healthy organs are spared, while also making sure to account for uncertainties such as misalignment of the patient during treatment. To reduce the workload on clinics, data-driven automated treatment planning can be used to generate treatment plan

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9

Walker, Charlotte Anne. "Feasibility of selective multiple boosting in the planning of intracranial radiation therapy." Thesis, University of Hull, 2007. http://hydra.hull.ac.uk/resources/hull:578.

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IMRT provides unprecedented means to sculpt radiation dose in three-dimensions, pledging potential to improve local disease control via conformal dose escalation as well as better normal tissue sparing via conformal avoidance. In this thesis, the feasibility and practicality of delivering high doses to intelligently-defined multiple tumour sub-volumes is verified for intracranial radiation treatments. The term ‘selective multiple boosting’ (SMB) is adopted for the proposed planning scheme. Physical control over local dose deposition is characterised and quantified through the design of two pse

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10

Matsuo, Yukinori. "Interinstitutional variations in planning for stereotactic body radiation therapy for lung cancer." Kyoto University, 2007. http://hdl.handle.net/2433/135713.

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11

Watkins, W. Tyler. "Optimization of Radiation Therapy in Time-Dependent Anatomy." VCU Scholars Compass, 2013. http://scholarscompass.vcu.edu/etd/3069.

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The objective of this dissertation is to develop treatment planning techniques that have the potential to improve radiation therapy of time-dependent (4D) anatomy. Specifically, this study examines dose estimation, dose evaluation, and decision making in the context of optimizing lung cancer radiation therapy. Two methods of dose estimation are compared in patients with locally advanced and early stage lung cancer: dose computed on a single image (3D-dose) and deformably registered, accumulated dose (or 4D-dose). The results indicate that differences between 3D- and 4D- dose are not signi

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12

Chin, Erika Ming Yee. "A four dimensional volumetric modulated arc therapy planning system for stereotactic body radiation therapy in lung cancers." Thesis, University of British Columbia, 2013. http://hdl.handle.net/2429/44048.

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A novel 4D volumetric modulated arc therapy (4D VMAT) planning system is presented where radiation sparing of organs at risk (OARs) is enhanced by exploiting relative target and healthy tissue motion induced by patient respiration. In conventional radiation therapy, a motion encompassing margin is normally added to the clinical target volume (CTV) to ensure the tumour receives the planned treatment dose. For lung tumours which display large displacements due to patient breathing, this results in a substantial increase in dose to the OARs. These wider margins are incompatible with the growin

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13

Qatarneh, Sharif. "Development of a Whole Body Atlas for Radiation Therapy Planning and Treatment Optimization." Doctoral thesis, Stockholm : Stockholm university & Karolinska institutet, 2006. http://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-803.

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14

Lucido, Joseph. "Incorporating microdosimetry into radiation therapy treatment planning with multi-scale Monte Carlo simulations." Thesis, University of British Columbia, 2013. http://hdl.handle.net/2429/45045.

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In order to choose and design optimal treatment plans for radiation therapy, it is necessary to employ models that can predict the tissue response to the ionizing radiation. The conventional models are based on the radiological absorbed dose, which does not account for the effect of radiation damage clustering on cellular response – a more mechanistic model can lead to better metrics for treatment planning. This dissertation presents a novel method for performing multi-scale Monte Carlo simulations to obtain microdosimetric information for patient specific treatments. This is done by using a t

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15

Vile, Douglas J. "Statistical modeling of interfractional tissue deformation and its application in radiation therapy planning." VCU Scholars Compass, 2014. http://scholarscompass.vcu.edu/etd/3675.

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In radiation therapy, interfraction organ motion introduces a level of geometric uncertainty into the planning process. Plans, which are typically based upon a single instance of anatomy, must be robust against daily anatomical variations. For this problem, a model of the magnitude, direction, and likelihood of deformation is useful. In this thesis, principal component analysis (PCA) is used to statistically model the 3D organ motion for 19 prostate cancer patients, each with 8-13 fractional computed tomography (CT) images. Deformable image registration and the resultant displacement vector fi

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16

Griffin, Jonathan Alexander. "Radiation Dosimetry of Irregularly Shaped Objects." Thesis, University of Canterbury. Physics and Astronomy, 2006. http://hdl.handle.net/10092/1402.

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Electron beam therapy planning and custom electron bolus design were identified as areas in which improvements in equipment and techniques could lead to significant improvements in treatment delivery and patient outcomes. The electron pencil beam algorithms used in conventional Treatment Planning Systems do not accurately model the dose distribution in irregularly shaped objects, near oblique surfaces or in inhomogeneous media. For this reason, at Christchurch Oncology Centre the TPS is not relied on for planning electron beam treatments. This project is an initial study of ways to imp

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17

Goddard, Karen Jane. "Accidental exposure of pregnant patients to ionizing radiation during radiation therapy planning and treatment in British Columbia cancer centers." Thesis, University of British Columbia, 2012. http://hdl.handle.net/2429/43313.

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This project was an interdisciplinary study of a specific medical error - inadvertent radiation therapy (RT) in the treatment of female cancer patients during early pregnancy in British Columbia. RT is very damaging to the fetus during the first trimester of pregnancy and this is a very undesirable adverse event (or medical error). I explored why this error could occur by reviewing the types and causes of medical errors in general and then studying potential errors specific to RT planning and treatment. I created and administered a questionnaire of all health care professionals (HCPs) in can

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18

Fredriksson, Albin. "Robust optimization of radiation therapy accounting for geometric uncertainty." Doctoral thesis, KTH, Optimeringslära och systemteori, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-122262.

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Geometric errors may compromise the quality of radiation therapy treatments. Optimization methods that account for errors can reduce their effects. The first paper of this thesis introduces minimax optimization to account for systematic range and setup errors in intensity-modulated proton therapy. The minimax method optimizes the worst case outcome of the errors within a given set. It is applied to three patient cases and shown to yield improved target coverage robustness and healthy structure sparing compared to conventional methods using margins, uniform beam doses, and density override. Inf

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19

Staley, Noah D. "An Investigation into the Accuracy of the Photon Beam Energy Spectrum Modeled by the Pinnacle Treatment Planning System and Its Effects on Treatment Planning." University of Toledo Health Science Campus / OhioLINK, 2016. http://rave.ohiolink.edu/etdc/view?acc_num=mco1481308003486075.

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20

Lavieri, Mariel Sofia. "Nursing workforce planning and radiation therapy treatment decision making : two healthcare operations research applications." Thesis, University of British Columbia, 2009. http://hdl.handle.net/2429/29655.

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This thesis discusses two applications of operations research to healthcare: nursing workforce planning and radiation therapy treatment decision-making. The first application describes a linear programming-based hierarchical planning tool that determines the optimal number of nurses to train, promote to managerial levels and recruit over a 20 year planning horizon to achieve nursing and managerial targets. The model is based on the age dynamics and attrition rates of the nursing workforce. The tool has been developed to assist policy makers in planning the British Columbia registered nurses wo

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21

Ziegenhein, Peter [Verfasser], and Uwe [Akademischer Betreuer] Oelfke. "Realizing a new paradigm in radiation therapy treatment planning / Peter Ziegenhein ; Betreuer: Uwe Oelfke." Heidelberg : Universitätsbibliothek Heidelberg, 2013. http://d-nb.info/1177381974/34.

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22

Ramer, Rachelle. "Application of data envelopment analysis to decisions in radiation therapy treatment planning a thesis /." San Antonio : UTHSC, 2008. http://learningobjects.library.uthscsa.edu/cdm4/item_viewer.php?CISOROOT=/theses&CISOPTR=56&CISOBOX=1&REC=4.

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23

Price, Ryan Glen. "Toward magnetic resonance only treatment planning| Distortion mitigation and image-guided radiation therapy validation." Thesis, Wayne State University, 2016. http://pqdtopen.proquest.com/#viewpdf?dispub=10153444.

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<p> While MR-only treatment planning has shown promise, there are still several well-known challenges that are currently limiting widespread clinical implementation. Firstly, MR images are affected by both patient-induced and system-level geometric distortions that can significantly degrade treatment planning accuracy. In addition, the availability of comprehensive distortion analysis software is currently limited. Also while many groups have been working toward a synthetic CT solution, further study is needed on the implementation of synCTs as the reference datasets for linac-based image-guid

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24

Zhang, Tianfang. "Direct optimization of dose-volume histogram metrics in intensity modulated radiation therapy treatment planning." Thesis, KTH, Skolan för teknikvetenskap (SCI), 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-231548.

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In optimization of intensity-modulated radiation therapy treatment plans, dose-volumehistogram (DVH) functions are often used as objective functions to minimize the violationof dose-volume criteria. Neither DVH functions nor dose-volume criteria, however,are ideal for gradient-based optimization as the former are not continuously differentiableand the latter are discontinuous functions of dose, apart from both beingnonconvex. In particular, DVH functions often work poorly when used in constraintsdue to their being identically zero when feasible and having vanishing gradients on theboundary of

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25

suh, yelin. "DEVELOPMENT AND INVESTIGATION OF INTENSITY-MODULATED RADIATION THERAPY TREATMENT PLANNING FOR FOUR-DIMENSIONAL ANATOMY." VCU Scholars Compass, 2009. http://scholarscompass.vcu.edu/etd/1827.

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Lung cancer is the leading cause of cancer-related deaths worldwide. Radiotherapy is one of the main treatment modalities of lung cancer. However, the achievable accuracy of radiotherapy treatment is limited for lung-based tumors due to respiratory motion. Four-dimensional radiotherapy explicitly accounts for anatomic motion by characterizing the motion, creating a treatment plan that accounts for this motion, and delivering this plan to the moving anatomy. This thesis focuses on the current problems and solutions throughout the course of four-dimensional radiotherapy. For characterization of

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26

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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27

Gozbasi, Halil Ozan. "Optimization approaches for planning external beam radiotherapy." Diss., Georgia Institute of Technology, 2010. http://hdl.handle.net/1853/34726.

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External beam radiotherapy is delivered from outside the body aimed at cancer cells to damage their DNA making them unable to divide and reproduce. The beams travel through the body and may damage nearby healthy tissues unless carefully planned. Therefore, the goal of treatment plan optimization is to find the best system configuration to deliver sufficient dose to target structures while avoiding damage to healthy tissues. This thesis investigates optimization approaches for two external beam radiation therapy techniques: Intensity-Modulated Radiation Therapy (IMRT) and Volumetric-Modulate

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28

Scherrer, Alexander. "Adaptive approximation of nonlinear minimization problems : the adaptive clustering method in inverse radiation therapy planning /." Aachen : Shaker, 2006. http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&doc_number=015733837&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA.

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29

Lempart, Michael. "Machine learning and augmented data for automated treatment planning in complex external beam radiation therapy." Thesis, Högskolan i Gävle, Avdelningen för elektronik, matematik och naturvetenskap, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:hig:diva-29298.

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External beam radiation therapy is currently one of the most commonly used modalities for treating cancer. With the rise of new technologies and increasing computational power, machine learning, deep learning and artificial intelligence applications used for classification and regression problems have begun to find their way into the field of radiation oncology. One such application is the automated generation of radiotherapy treatment plans, which must be optimized for every single patient. The department of radiation physics in Lund, Sweden, has developed an autoplanning software, which in c

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30

Tanyi, James, Martin Fuss, Vladimir Varchena, Jack Lancaster, and Bill Salter. "Phantom investigation of 3D motion-dependent volume aliasing during CT simulation for radiation therapy planning." BioMed Central, 2007. http://hdl.handle.net/10150/610239.

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PURPOSE:To quantify volumetric and positional aliasing during non-gated fast- and slow-scan acquisition CT in the presence of 3D target motion.METHODS:Single-slice fast, single-slice slow, and multi-slice fast scan helical CTs were acquired of dynamic spherical targets (1 and 3.15 cm in diameter), embedded in an anthropomorphic phantom. 3D target motions typical of clinically observed tumor motion parameters were investigated. Motion excursions included +/- 5, +/- 10, and +/- 15 mm displacements in the S-I direction synchronized with constant displacements of +/- 5 and +/- 2 mm in the A-P and

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31

Obata, Yasunori, and Hiroshi Oguchi. "Commissioning of modulator-based IMRT with XiO treatment planning system." AIP Publishing, 2009. http://hdl.handle.net/2237/20613.

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32

Adhikary, Kalyan. "Development of Graphical User Interfaces (GUI) software and database for radiation therapy applications." Connect to full-text via OhioLINK ETD Center, 2005. http://rave.ohiolink.edu/etdc/view?acc%5Fnum=mco1160398346.

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Thesis (M.S.)--Medical University of Ohio, 2005.<br>"In partial fulfillment of the requirements for the degree of Master of Science in Biomedical Sciences." Major advisor: E. Ishmael Parsai. Includes abstract. Document formatted into pages: 144 p. Title from title page of PDF document. Title at ETD Web site: Development of Graphical User Interfaces (GUI) software and databases for radiation therapy applications. Bibliography: page 65.

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33

Zheng, Yiran. "CT-PET Image Fusion and PET Image Segmentation for Radiation Therapy." Case Western Reserve University School of Graduate Studies / OhioLINK, 2011. http://rave.ohiolink.edu/etdc/view?acc_num=case1283542509.

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34

Champion, Heather. "Beam angle and fluence map optimization for PARETO multi-objective intensity modulated radiation therapy treatment planning." Medical Physics, 2011. http://hdl.handle.net/1993/8910.

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In this work we introduce PARETO, a multiobjective optimization tool that simultaneously optimizes beam angles and fluence patterns in intensity-modulated radiation therapy (IMRT) treatment planning using a powerful genetic algorithm. We also investigate various objective functions and compare several parameterizations for modeling beam fluence in terms of fluence map complexity, solution quality, and run efficiency. We have found that the combination of a conformity-based Planning Target Volume (PTV) objective function and a dose-volume histogram or equivalent uniform dose -based objective

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35

Peszynski, Ruth Iris. "A Procedure to Verify the Accuracy of Delivery of Prescribed Radiation Doses in Radiotherapy." Thesis, University of Canterbury. Physics and Astronomy, 2008. http://hdl.handle.net/10092/1962.

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Abstract In New Zealand there are currently no regular external audits to verify the full treatment chain in radiotherapy. This thesis reports on a project to devise such an audit procedure suitable to assess the accuracy of the delivery of prescribed radiotherapy doses to patients over the full treatment process. The National Radiation Laboratory (NRL), regulatory authority, will use the method developed to conduct biennial audits of all radiotherapy centres. A commercial chest phantom with a MOSFET dosimetry system was provided for this project. The MOSFETs were commissioned and their char

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36

Al-Yahya, Khalid S. "Energy modulated electron therapy : design, implementation, and evaluation of a novel method of treatment planning and delivery." Thesis, McGill University, 2006. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=102951.

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Energy modulated electron therapy (EMET) is a promising treatment modality that has the fundamental capabilities to enhance the treatment planning and delivery of superficially located targets. Although it offers advantages over x-ray intensity modulated radiation therapy (IMRT), EMET has not been widely implemented to the same level of accuracy, automation, and clinical routine as its x-ray counterpart. This lack of implementation is attributed to the absence of a remotely automated beam shaping system as well as the deficiency in dosimetric accuracy of clinical electron pencil beam algorithm

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37

Mazzara, Gloria Patrika. "Brain tumor target volume determination for radiation therapy treatment planning through the use of automated MRI segmentation." [Tampa, Fla.] : University of South Florida, 2004. http://purl.fcla.edu/fcla/etd/SFE0000600.

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38

Scherrer, Alexander [Verfasser]. "Adaptive approximation of nonlinear minimization problems : The adaptive clustering method in inverse radiation therapy planning / Alexander Scherrer." Aachen : Shaker, 2006. http://d-nb.info/1166514528/34.

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39

Eriksson, Ivar. "Image Distance Learning for Probabilistic Dose–Volume Histogram and Spatial Dose Prediction in Radiation Therapy Treatment Planning." Thesis, KTH, Matematisk statistik, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-273608.

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Construction of radiotherapy treatments for cancer is a laborious and time consuming task. At the same time, when presented with a treatment plan, an oncologist can quickly judge whether or not it is suitable. This means that the problem of constructing these treatment plans is well suited for automation. This thesis investigates a novel way of automatic treatment planning. The treatment planning system this pipeline is constructed for provides dose mimicking functionality with probability density functions of dose–volume histograms (DVHs) and spatial dose as inputs. Therefore this will be the

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40

Baydoun, Atallah. "FDG-PET/MR for Cervical Cancer Staging and Radiation Therapy Planning: A Novel, Deep Learning-based Approach." Case Western Reserve University School of Graduate Studies / OhioLINK, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=case1594844980840027.

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41

Bartzsch, Stefan [Verfasser], and Uwe [Akademischer Betreuer] Oelfke. "Microbeam Radiation Therapy – physical and biological aspects of a new cancer therapy and development of a treatment planning system / Stefan Bartzsch ; Betreuer: Uwe Oelfke." Heidelberg : Universitätsbibliothek Heidelberg, 2014. http://d-nb.info/1180300246/34.

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42

Kimstrand, Peter. "Beam Modelling for Treatment Planning of Scanned Proton Beams." Doctoral thesis, Uppsala University, Oncology, 2008. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-8640.

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<p>Scanned proton beams offer the possibility to take full advantage of the dose deposition properties of proton beams, i.e. the limited range and sharp peak at the end of the range, the Bragg peak. By actively scanning the proton beam, laterally by scanning magnets and longitudinally by shifting the energy, the position of the Bragg peak can be controlled in all three dimensions, thereby enabling high dose delivery to the target volume only. A typical scanned proton beam line consists of a pair of scanning magnets to perform the lateral beam scanning and possibly a range shifter and a multi-l

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43

Chakraborty, Chandrani. "Quantification of respiratory motion in PET/CT and its significance in radiation therapy." Oklahoma City : [s.n.], 2008.

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Costa, Ferreira Brigida. "Biological optimization of angle of incidence and intensity modulation in breast and cervix cancer radiation therapy." Doctoral thesis, Stockholm University, Medical Radiation Physics (together with KI), 2004. http://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-313.

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<p>Biological treatment optimization aim at improving radiation therapy by accounting for the radiobiological tumour and normal tissues response properties when optimizing the dose delivery. Generally traditional methods, using only dosimetrical measures, disregard the nonlinear radiation response of different tumours and normal tissues. The accumulated knowledge on tissue response to radiation, in the form of more accurate dose response relations, cell survival models and their associated biological parameters, alongside with the tools for biological treatment plan optimization, has allowed t

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45

Söderberg, Jonas. "Dosimetry and radiation quality in fast-neutron radiation therapy : a study of radiation quality and dosimetric properties of fast-neutrons for external beam radiotherapy and problems associated with corrections of measured charged particle cross-sections /." Linköping : Division of Radiation Physics, Department of Medicine and Care, Faculty of Health Science, Linköping University, 2007. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-8589.

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46

Martínez, Rovira Immaculada. "Monte Carlo and experimental small-field dosimetry applied to spatially fractionated synchrotron radiotherapy techniques." Doctoral thesis, Universitat Politècnica de Catalunya, 2012. http://hdl.handle.net/10803/81470.

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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 thi

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Handley, Stephen Michael. "Monte Carlo simulations using MCNPX of proton and anti-proton beam profiles for radiation therapy." Oklahoma City : [s.n.], 2010.

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48

Guthier, Christian Vinzenz [Verfasser], and Jürgen [Akademischer Betreuer] Hesser. "Development of a real-time inverse planning system for radiation therapy based on compressed sensing / Christian Vinzenz Guthier ; Betreuer: Jürgen Hesser." Heidelberg : Universitätsbibliothek Heidelberg, 2015. http://d-nb.info/1180608321/34.

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49

Alarady, Mamdooh R. "Characterization of Image Quality between Multi-Slice Computed Tomography and Cone Beam Computed Tomography for Clinical Used Protocols in Radiation Therapy Treatment Planning." University of Toledo Health Science Campus / OhioLINK, 2017. http://rave.ohiolink.edu/etdc/view?acc_num=mco151080400269082.

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Schell, Stefan [Verfasser], Jan J. [Akademischer Betreuer] Wilkens, and Franz [Akademischer Betreuer] Pfeiffer. "Dose delivery and treatment planning methods for efficient radiation therapy with laser-driven particle beams / Stefan Schell. Gutachter: Franz Pfeiffer. Betreuer: Jan J. Wilkens." München : Universitätsbibliothek der TU München, 2011. http://d-nb.info/1019587423/34.

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