Download or read book Treatment Planning Optimization for Non coplanar Volumetric Modulated Arc Therapy written by Franklin Okoli and published by . This book was released on 2020 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Non-coplanar VMAT has the potential to treat tumors that are located in close proximity of critical organs or that are partially surrounded by normal tissues. The use of dynamic couch-gantry trajectories offers an opportunity for more precise and accurate delivery of radiation during cancer treatments.Despite the improvements that have been seen in non-coplanar VMAT, challenges still persist.In this thesis, we present a methodology for the determination of collision free couch-gantry orientations. This methodology is proposed to avoid the possibility of a collision during the motion of the couch and gantry during treatment.We propose an algorithm based on simulated annealing for non-coplanar VMAT treatment planning. This algorithm is used to select the best possible beam orientations for the accurate delivery of the prescribed dose.We also propose a RRT inspired algorithm for generating the trajectory for the non-coplanarVMAT plan delivery. The algorithm is proposed to solve the problem of the addition of intermediate beam orientations observed in beam selection methods.From the results of studies on the proposed methods, improvements to collision detection, global optimization and trajectory generation for non-coplanar VMAT treatment planning were observed. These improvements include a better dosimetry with respect to reductions in mean dose to the organs-at-risk and a more efficient delivery trajectory.Our studies indicate that there exists a reasonable trade-off between treatment plan quality and plan deliverability if the dosimetry of the VMAT treatment plan is continuously monitored during trajectory generation.
Download or read book Non Coplanar Arc Optimization for Stereotactic Ablative Radiotherapy Treatment Planning written by John Lincoln and published by . This book was released on 2023 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Stereotactic ablative radiotherapy (SABR) is a technique that delivers a high dose of radiation in a single or small number of fractions and requires rapid fall off outside the target. In current clinical practice it is imperative when treating with ablative doses that radiation to organs-at-risk (OARs) is minimized as much as possible to avoid treatment related toxicity in healthy tissue. Often SABR is delivered with volumetric modulated arc therapy (VMAT), an efficient delivery technique that relies on complex modulation throughout an arc to optimize dose objectives. Non-coplanar optimization methods have been proposed to automatically select geometries that minimize overlap between targets and organs-at-risk (OARs) in the radiation beams-eye-view (BEV). When applied in intensity modulation radiotherapy IMRT or VMAT, these have been shown to significantly reduce dose to OARs as compared to conventional coplanar trajectories. These methods still face barriers to widespread clinical implementation, such as efficiency issues. The purpose of this thesis is to demonstrate that automatically optimized non-coplanar arc geometries for SABR with VMAT leads to dose reductions to OARs. Additionally, this thesis considers the differences between cranial and extracranial SABR and evaluates arc geometry optimization for sites with varying biological complexity. The thesis is comprised of three manuscripts that evaluate the arc geometry optimization for sites treated with SABR. The first manuscript for cranial SABR, "Comparison of anatomically informed template trajectories with patient specific trajectories for stereotactic radiosurgery and radiotherapy," compares a commercial general arc template with an optimized arc template and patient specific arc geometry, concluding that patient specific geometries were dosimetrically superior. The second manuscript for extracranial SABR, "Static couch non-coplanar arc selection optimization for lung SBRT treatment planning," demonstrates a patient-specific method to choose arcs that combine dose reduction to OARs with clinically acceptable target conformity. The third manuscript for extracranial SABR, "Biologically optimized non-coplanar arc selection for small and large target volumes in liver SBRT," shows that choosing optimized arcs has the potential for dose reduction to target-encompassing OARs, such as the liver. These manuscripts address differences and similarities of performing SABR in various sites throughout the body. They offer solutions that are ready to use and require minimal additions to current clinical workflows. Finally, they also demonstrate the dosimetric advantages of non-coplanar arc delivery for multiple disease sites.
Download or read book Beam Orientation Optimization in Intensity modulated Radiation Therapy Treatment Planning written by Andrei Pugachev and published by . This book was released on 2002 with total page 258 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Khan s Treatment Planning in Radiation Oncology written by Faiz M. Khan and published by Lippincott Williams & Wilkins. This book was released on 2021-09-17 with total page 1342 pages. Available in PDF, EPUB and Kindle. Book excerpt: Offering comprehensive coverage of the clinical, physical, and technical aspects of radiation treatment planning, Khan’s Treatment Planning in Radiation Oncology, Fifth Edition, provides a team approach to this complex field. Drs. Paul W. Sperduto and John P. Gibbons are joined by expert contributing authors who focus on the application of physical and clinical concepts to solve treatment planning problems—helping you provide effective, state-of-the-art care for cancer patients. This unique, well-regarded text has been updated throughout to reflect the most current practices in today’s radiation oncology treatment.
Download or read book Fully Automated Radiation Therapy Treatment Planning Through Knowledge Based Dose Predictions written by Angelia Landers and published by . This book was released on 2018 with total page 143 pages. Available in PDF, EPUB and Kindle. Book excerpt: Intensity-modulated radiotherapy treatment planning is an inverse problem that typically includes numerous parameters that have to be manually tuned by expert planners. This process can take hours or even days and can often lead to suboptimal plans. In this study, we developed a technique for fully automated radiotherapy treatment planning with the guidance of dose predictions using high quality or evolving knowledge bases. Knowledge-based planning (KBP) dose prediction provides patient-specific estimations for the capabilities and limitations of a plan. Statistical voxel dose learning (SVDL) was developed to predict the voxel dose of new patients. The method was compared to supervised machine learning methods, spectral regression (SR) and support vector regression (SVR), to evaluate the prediction accuracy and robustness of using small training sets. SVDL was found to have higher prediction accuracy than the more sophisticated machine learning methods and effective even with small training sets. To remove any dependence on hyperparameters that require manual tuning, voxel-based non-coplanar 4 radiotherapy and coplanar volumetric modulated arc therapy (VMAT) optimization problems were modified to include the KBP predicted doses. The new cost functions encourage the plans to meet or improve on the predicted doses. Because of this, the resulting plan quality is heavily reliant on the plan quality of the KBP training set. To ensure high quality plans, non-coplanar and coplanar IMRT plans were manually created using all available beams. The resulting automated plans were of superior quality compared to manually-created plans. In the case of no existing high quality training set, evolving-knowledge-base (EKB) planning was developed. An initial, low quality training set was used for the first epoch of automated planning. In subsequent epochs, the superior plans from the previous epoch were taken as the training set. Overall plan quality was observed to improve through epochs, plateauing after 3 and 6 epochs for lung and head & neck planning, respectively. The final EKB plans were significantly higher quality than manually-created VMAT plans and equivalent to manually-created 4 plans. Through the course of this work, we established a robust and accurate KBP dose prediction technique, which we then utilized in our automated planning protocol. Both the use of high quality training sets and EKB planning created high quality plans in a more efficient and consistent manner than hyperparameter tuning.
Download or read book A Dosimetric Evaluation of Volumetric Modulated Arc Therapy for the Treatment of NSCLC with SBRT written by Caitlin E. Doring and published by . This book was released on 2012 with total page 70 pages. Available in PDF, EPUB and Kindle. Book excerpt: Abstract: To demonstrate the dosimetric potential of volumetric modulated arc therapy (VMAT) for the treatment of patients with medically inoperable stage I/II non-small cell lung cancer (NSCLC) with stereotactic body radiation therapy (SBRT). Fourteen patients treated with 3D-CRT with varying tumor locations, tumor sizes and dose fractionation schemes were chosen for study. The target prescription doses were 48 Gy in 4 fractions, 52. 5 Gy in 5 fractions, 57. 5 Gy in 5 fractions and 60 Gy in 3 fractions for 2, 5, 1 and 6 patients, respectively. VMAT treatment plans with a mix of 2-3 full and/or partial non-coplanar arcs with 5°-25° separations were retrospectively generated using Eclipse version 10. 0. The 3D-CRT and VMAT plans were then evaluated by comparing their target dose, critical structure dose, high dose spillage, and low dose spillage as defined according to RTOG 0813 and RTOG 0236 protocols. The VMAT treatment plans yielded an average 9. 6-33. 7% reduction in dose to critical structures and an average 12. 0-12. 5% increase in conformity compared with the treated 3D-CRT plans. The D2cm improved with VMAT in 11 of 14 cases. The 3 that worsened were still within the acceptance criteria. Of the 14 3D-CRT plans, 7 had a D2cm minor deviation, while only one of the 14 VMAT plans had a D2cm minor deviation. The R50% improved in 13 of the 14 VMAT cases. The 1 case that worsened was still within the acceptance criteria of the RTOG protocol. Of the 14 3D-CRT plans, 7 had an R50% deviation. Only 1 of the 14 VMAT plans had an R50% deviation, but it was still improved compared to the 3D-CRT plan. In this cohort of patients, no dosimetric compromises resulted from planning SBRT treatments with VMAT relative to the 3D-CRT treatment plans actually used in their treatment.
Download or read book Intensity Modulated Radiation Therapy written by S. Webb and published by CRC Press. This book was released on 2015-05-06 with total page 441 pages. Available in PDF, EPUB and Kindle. Book excerpt: Clinical conformal radiotherapy is the holy grail of radiation treatment and is now becoming a reality through the combined efforts of physical scientists and engineers, who have improved the physical basis of radiotherapy, and the interest and concern of imaginative radiotherapists and radiographers. Intensity-Modulated Radiation Therapy de
Download or read book Total Marrow Irradiation written by Jeffrey Y. C. Wong and published by Springer. This book was released on 2021-03-01 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book, written by a team of international experts, concisely reviews the rationale and clinical application of image-guided total marrow irradiation, a rapidly emerging area in radiation oncology and hematopoietic cell transplantation. The aim is to provide the practicing radiation oncologist, hematologist, medical physicist, and bone marrow transplant researcher with a fundamental understanding of key aspects and an appreciation of the increasing significance of total marrow irradiation as conditioning for bone marrow transplantation. Detailed attention is paid to the impacts of recent advances in radiation therapy technology, functional PET and MRI, and understanding of the response of bone marrow to radiation. Full consideration is also given to the ways in which technological advances in image-guided radiation therapy have created new opportunities to treat bone marrow transplant patients with limited transplant options due to advanced disease, age, or co-morbidities. Further topics covered include the ways in which cancer stem cells and the marrow microenvironment influence response to radiation therapy and the implementation of new-generation predictive radiobiologic factors in the clinic.
Download or read book Treatment Plan Optimization and Delivery Using Dynamic Gantry couch Trajectories written by Joel Mullins and published by . This book was released on 2021 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: "In radiation therapy, trajectory-based delivery involves the dynamic motion of linear accelerator components combined with continuous arc radiation delivery. The increased complexity of the delivery may yield dosimetric advantages, but the delivery technique has not seen clinical implementation. The purpose of this thesis work is to provide support for clinical implementation of trajectory-based treatment delivery, through the application of novel trajectories, implementation of a trajectory-based optimization algorithm, and verification of the treatment delivery accuracy under dynamic conditions.The initial study in this thesis applied translational couch trajectories to reduce the effective source-to-axis distance (SAD), with potential benefits due to the decreased projected size of the multileaf collimator and an increased effective dose rate. A noncoplanar trajectory was applied to patients presented with cranial targets, and treatment plans were optimized at shortened and standard SAD. Through comparisons to clinical treatment plans, the shortened SAD treatment plans yielded a fraction size dependent decrease in the treatment delivery time due to the increased effective dose rate. The noncoplanar trajectories yielded comparable plan quality to the clinical deliveries.The next study focused on the novel implementation of a trajectory optimization algorithm for concurrent gantry and couch rotation. The optimization algorithm implemented uses the column generation approach to simultaneously determine the trajectory path during volumetric modulated arc therapy optimization (simTr-VMAT). With comparisons to coplanar VMAT plans and to randomly generated trajectories that represent the solution space for the optimization problem, the simTr-VMAT optimization methodology was validated.The complex trajectory paths resulting from the simTr-VMAT optimizations were observed as a potential source of dose delivery inaccuracy. A trajectory smoothing procedure was implemented, and the base and smoothed treatment plans were delivered on the TrueBeam linear accelerator. The trajectory smoothing retained the treatment plan quality of the base trajectories. The delivery accuracy was largely within combined standard uncertainty. A systematic difference between measurement and calculation was observed that requires further investigation. The smoothed trajectory plans yielded improved agreement with measurement compared to the base trajectory plans.The final study investigated the gantry-couch rotation angle coordinate system. Trajectory optimizations were performed under a cartesian and spherical coordinate system for seven patient cases, using a overlap score map approach. The arclength between adjacent control points showed less variation for cases where the cartesian trajectory included arc segments with couch-only rotations. The objective function value was improved for 4 out of 7 patient cases for the spherical trajectories, but limitations of two-step trajectory optimization approaches were observed.Through the research presented in this thesis, clinical advantages of trajectory-based delivery were demonstrated, as well as the importance of trajectory smoothing to improve the accuracy of dose delivery. This work helps to pave the way towards the clinical implementation of trajectory-based treatment delivery"--
Download or read book Computational Science and Its Applications ICCSA 2019 written by Sanjay Misra and published by Springer. This book was released on 2019-06-28 with total page 728 pages. Available in PDF, EPUB and Kindle. Book excerpt: The six volumes LNCS 11619-11624 constitute the refereed proceedings of the 19th International Conference on Computational Science and Its Applications, ICCSA 2019, held in Saint Petersburg, Russia, in July 2019. The 64 full papers, 10 short papers and 259 workshop papers presented were carefully reviewed and selected form numerous submissions. The 64 full papers are organized in the following five general tracks: computational methods, algorithms and scientific applications; high performance computing and networks; geometric modeling, graphics and visualization; advanced and emerging applications; and information systems and technologies. The 259 workshop papers were presented at 33 workshops in various areas of computational sciences, ranging from computational science technologies to specific areas of computational sciences, such as software engineering, security, artificial intelligence and blockchain technologies.
Download or read book Computational Science and Its Applications ICCSA 2020 written by Osvaldo Gervasi and published by Springer Nature. This book was released on 2020-09-28 with total page 1062 pages. Available in PDF, EPUB and Kindle. Book excerpt: The seven volumes LNCS 12249-12255 constitute the refereed proceedings of the 20th International Conference on Computational Science and Its Applications, ICCSA 2020, held in Cagliari, Italy, in July 2020. Due to COVID-19 pandemic the conference was organized in an online event. Computational Science is the main pillar of most of the present research, industrial and commercial applications, and plays a unique role in exploiting ICT innovative technologies. The 466 full papers and 32 short papers presented were carefully reviewed and selected from 1450 submissions. Apart from the general track, ICCSA 2020 also include 52 workshops, in various areas of computational sciences, ranging from computational science technologies, to specific areas of computational sciences, such as software engineering, security, machine learning and artificial intelligence, blockchain technologies, and of applications in many fields.
Download or read book Decision Analytics and Optimization in Disease Prevention and Treatment written by Nan Kong and published by John Wiley & Sons. This book was released on 2018-03-13 with total page 406 pages. Available in PDF, EPUB and Kindle. Book excerpt: A systematic review of the most current decision models and techniques for disease prevention and treatment Decision Analytics and Optimization in Disease Prevention and Treatment offers a comprehensive resource of the most current decision models and techniques for disease prevention and treatment. With contributions from leading experts in the field, this important resource presents information on the optimization of chronic disease prevention, infectious disease control and prevention, and disease treatment and treatment technology. Designed to be accessible, in each chapter the text presents one decision problem with the related methodology to showcase the vast applicability of operations research tools and techniques in advancing medical decision making. This vital resource features the most recent and effective approaches to the quickly growing field of healthcare decision analytics, which involves cost-effectiveness analysis, stochastic modeling, and computer simulation. Throughout the book, the contributors discuss clinical applications of modeling and optimization techniques to assist medical decision making within complex environments. Accessible and authoritative, Decision Analytics and Optimization in Disease Prevention and Treatment: Presents summaries of the state-of-the-art research that has successfully utilized both decision analytics and optimization tools within healthcare operations research Highlights the optimization of chronic disease prevention, infectious disease control and prevention, and disease treatment and treatment technology Includes contributions by well-known experts from operations researchers to clinical researchers, and from data scientists to public health administrators Offers clarification on common misunderstandings and misnomers while shedding light on new approaches in this growing area Designed for use by academics, practitioners, and researchers, Decision Analytics and Optimization in Disease Prevention and Treatment offers a comprehensive resource for accessing the power of decision analytics and optimization tools within healthcare operations research.
Download or read book Optimization Approaches for Planning External Beam Radiotherapy written by Halil Ozan Gozbasi and published by . This book was released on 2010 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 carefullyplanned. 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-Modulated Arc Therapy (VMAT). We develop an automated treatment planning technology for IMRT which generates several high-quality treatment plans satisfying the provided requirements in a single invocation and without human guidance. Our approach is based on an existing linear programming-based fluence map optimization model that approximates dose-volume requirements using conditional value-at-risk (C-VaR) constraints. We show how the parameters of the C-VaR constraints can be used to control various metrics of treatment plan quality. A novel bi-criteria scoring based beam selection algorithm is developed which finds the best beam configuration at least ten times faster for real-life brain, prostate, and head and neck cases as compared to an exact mixed integer programming model. Patient anatomy changes due to breathing during the treatment of lung cancer need to be considered in treatment planning. To date, a single phase of the breathing cycle is typically selected for treatment and radiation is shut-off in other phases. We investigate optimization technology that finds optimal fluence maps for each phase of the breathing cycle by considering the overall dose delivered to a patient using image registration algorithms to track target structures and organs at risk. Because the optimization exploits the opportunities provided in each phase, better treatment plans are obtained. The improvements are shown on a real-life lung case. VMAT is a recent radiation treatment technology which has the potential to provide treatments in less time compared to other delivery techniques. This enhances patient comfort and allows for the treatment of more patients. We build a large-scale mixed-integer programming model for VMAT treatment plan optimization. The solution of this model is computationally prohibitive. Therefore, we develop an iterative MIP-based heuristic algorithm which solves the model multiple times on a reduced set of decision variables. We introduce valid inequalities that decrease solution times, and, more importantly, that identify higher quality integer solutions within specified time limits. Computational studies on a spinal tumor and a prostate tumor case produce clinically acceptable results.
Download or read book Issues in Applied Physics 2013 Edition written by and published by ScholarlyEditions. This book was released on 2013-05-01 with total page 1227 pages. Available in PDF, EPUB and Kindle. Book excerpt: Issues in Applied Physics / 2013 Edition is a ScholarlyEditions™ book that delivers timely, authoritative, and comprehensive information about Medical Physics. The editors have built Issues in Applied Physics: 2013 Edition on the vast information databases of ScholarlyNews.™ You can expect the information about Medical Physics in this book to be deeper than what you can access anywhere else, as well as consistently reliable, authoritative, informed, and relevant. The content of Issues in Applied Physics / 2013 Edition has been produced by the world’s leading scientists, engineers, analysts, research institutions, and companies. All of the content is from peer-reviewed sources, and all of it is written, assembled, and edited by the editors at ScholarlyEditions™ and available exclusively from us. You now have a source you can cite with authority, confidence, and credibility. More information is available at http://www.ScholarlyEditions.com/.
Download or read book Comprehensive Biomedical Physics written by and published by Newnes. This book was released on 2014-07-25 with total page 4052 pages. Available in PDF, EPUB and Kindle. Book excerpt: Comprehensive Biomedical Physics, Ten Volume Set is a new reference work that provides the first point of entry to the literature for all scientists interested in biomedical physics. It is of particularly use for graduate and postgraduate students in the areas of medical biophysics. This Work is indispensable to all serious readers in this interdisciplinary area where physics is applied in medicine and biology. Written by leading scientists who have evaluated and summarized the most important methods, principles, technologies and data within the field, Comprehensive Biomedical Physics is a vital addition to the reference libraries of those working within the areas of medical imaging, radiation sources, detectors, biology, safety and therapy, physiology, and pharmacology as well as in the treatment of different clinical conditions and bioinformatics. This Work will be valuable to students working in all aspect of medical biophysics, including medical imaging and biomedical radiation science and therapy, physiology, pharmacology and treatment of clinical conditions and bioinformatics. The most comprehensive work on biomedical physics ever published Covers one of the fastest growing areas in the physical sciences, including interdisciplinary areas ranging from advanced nuclear physics and quantum mechanics through mathematics to molecular biology and medicine Contains 1800 illustrations, all in full color
Download or read book Image Based Computer Assisted Radiation Therapy written by Hidetaka Arimura and published by Springer. This book was released on 2017-01-26 with total page 383 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a comprehensive overview of the state-of-the-art computational intelligence research and technologies in computer-assisted radiation therapy based on image engineering. It also traces major technical advancements and research findings in the field of image-based computer-assisted radiation therapy. In high-precision radiation therapies, novel approaches in image engineering including computer graphics, image processing, pattern recognition, and computational anatomy play important roles in improving the accuracy of radiation therapy and assisting decision making by radiation oncology professionals, such as radiation oncologists, radiation technologists, and medical physicists, in each phase of radiation therapy. All the topics presented in this book broaden understanding of the modern medical technologies and systems for image-based computer-assisted radiation therapy. Therefore this volume will greatly benefit not only radiation oncologists and radiologists but also radiation technologists, professors in medical physics or engineering, and engineers involved in the development of products to utilize this advanced therapy.
Download or read book Decision Analytics and Optimization in Disease Prevention and Treatment written by Nan Kong and published by John Wiley & Sons. This book was released on 2018-02-02 with total page 430 pages. Available in PDF, EPUB and Kindle. Book excerpt: A systematic review of the most current decision models and techniques for disease prevention and treatment Decision Analytics and Optimization in Disease Prevention and Treatment offers a comprehensive resource of the most current decision models and techniques for disease prevention and treatment. With contributions from leading experts in the field, this important resource presents information on the optimization of chronic disease prevention, infectious disease control and prevention, and disease treatment and treatment technology. Designed to be accessible, in each chapter the text presents one decision problem with the related methodology to showcase the vast applicability of operations research tools and techniques in advancing medical decision making. This vital resource features the most recent and effective approaches to the quickly growing field of healthcare decision analytics, which involves cost-effectiveness analysis, stochastic modeling, and computer simulation. Throughout the book, the contributors discuss clinical applications of modeling and optimization techniques to assist medical decision making within complex environments. Accessible and authoritative, Decision Analytics and Optimization in Disease Prevention and Treatment: Presents summaries of the state-of-the-art research that has successfully utilized both decision analytics and optimization tools within healthcare operations research Highlights the optimization of chronic disease prevention, infectious disease control and prevention, and disease treatment and treatment technology Includes contributions by well-known experts from operations researchers to clinical researchers, and from data scientists to public health administrators Offers clarification on common misunderstandings and misnomers while shedding light on new approaches in this growing area Designed for use by academics, practitioners, and researchers, Decision Analytics and Optimization in Disease Prevention and Treatment offers a comprehensive resource for accessing the power of decision analytics and optimization tools within healthcare operations research.
