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Using Monte Carlo Techniques To Evaluate The Dose Distributions From A Radiotherapy Treatment Planning System
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Book Synopsis Using Monte Carlo Techniques to Evaluate the Dose Distributions from a Radiotherapy Treatment Planning System by : Kavuma Awusi
Download or read book Using Monte Carlo Techniques to Evaluate the Dose Distributions from a Radiotherapy Treatment Planning System written by Kavuma Awusi and published by . This book was released on 2000 with total page 240 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Monte Carlo Techniques in Radiation Therapy by : Frank Verhaegen
Download or read book Monte Carlo Techniques in Radiation Therapy written by Frank Verhaegen and published by CRC Press. This book was released on 2021-11-29 with total page 291 pages. Available in PDF, EPUB and Kindle. Book excerpt: About ten years after the first edition comes this second edition of Monte Carlo Techniques in Radiation Therapy: Introduction, Source Modelling, and Patient Dose Calculations, thoroughly updated and extended with the latest topics, edited by Frank Verhaegen and Joao Seco. This book aims to provide a brief introduction to the history and basics of Monte Carlo simulation, but again has a strong focus on applications in radiotherapy. Since the first edition, Monte Carlo simulation has found many new applications, which are included in detail. The applications sections in this book cover the following: Modelling transport of photons, electrons, protons, and ions Modelling radiation sources for external beam radiotherapy Modelling radiation sources for brachytherapy Design of radiation sources Modelling dynamic beam delivery Patient dose calculations in external beam radiotherapy Patient dose calculations in brachytherapy Use of artificial intelligence in Monte Carlo simulations This book is intended for both students and professionals, both novice and experienced, in medical radiotherapy physics. It combines overviews of development, methods, and references to facilitate Monte Carlo studies.
Book Synopsis New Technologies in Radiation Oncology by : Wolfgang C. Schlegel
Download or read book New Technologies in Radiation Oncology written by Wolfgang C. Schlegel and published by Springer Science & Business Media. This book was released on 2006-01-27 with total page 453 pages. Available in PDF, EPUB and Kindle. Book excerpt: - Summarizes the state of the art in the most relevant areas of medical physics and engineering applied to radiation oncology - Covers all relevant areas of the subject in detail, including 3D imaging and image processing, 3D treatment planning, modern treatment techniques, patient positioning, and aspects of verification and quality assurance - Conveys information in a readily understandable way that will appeal to professionals and students with a medical background as well as to newcomers to radiation oncology from the field of physics
Book Synopsis Development of a Monte Carlo Simulation Method for the Evaluation of Dose Distribution Calculations of Radiotherapy Treatment Planning Systems by : Frederik Carl Philippus Du Plessis
Download or read book Development of a Monte Carlo Simulation Method for the Evaluation of Dose Distribution Calculations of Radiotherapy Treatment Planning Systems written by Frederik Carl Philippus Du Plessis and published by . This book was released on 1999 with total page 362 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Therapeutic Applications of Monte Carlo Calculations in Nuclear Medicine by : H. Zaidi
Download or read book Therapeutic Applications of Monte Carlo Calculations in Nuclear Medicine written by H. Zaidi and published by CRC Press. This book was released on 2002-09-01 with total page 384 pages. Available in PDF, EPUB and Kindle. Book excerpt: Therapeutic Applications of Monte Carlo Calculations in Nuclear Medicine examines the applications of Monte Carlo (MC) calculations in therapeutic nuclear medicine, from basic principles to computer implementations of software packages and their applications in radiation dosimetry and treatment planning. With chapters written by recognized authorit
Book Synopsis Evaluation of a Commercial Radiation Oncology Treatment Planning System Against Monte Carlo Simulated Dose Distributions by : William Shaw
Download or read book Evaluation of a Commercial Radiation Oncology Treatment Planning System Against Monte Carlo Simulated Dose Distributions written by William Shaw and published by . This book was released on 2007 with total page 626 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Treatment Planning in Radiation Oncology by : Faiz M. Khan
Download or read book Treatment Planning in Radiation Oncology written by Faiz M. Khan and published by Lippincott Williams & Wilkins. This book was released on 1998 with total page 645 pages. Available in PDF, EPUB and Kindle. Book excerpt: Radiation oncology is integrated with medical physics for a unique look at the state of the art in cancer patient care. World-renowned authors provide a complete discussion of treatment planning featuring the clinical, physical, and technical aspects involved. Coverage includes 3-D conformal treatment and other advancements in computer technology and medical imaging to bring the reader a modern perspective on treatment planning.
Book Synopsis The Generation and Application of Monte Carlo Calculated Beamlet Dose Distributions in Radiation Therapy by : Karl Kenneth Bush
Download or read book The Generation and Application of Monte Carlo Calculated Beamlet Dose Distributions in Radiation Therapy written by Karl Kenneth Bush and published by . This book was released on 2006 with total page 306 pages. Available in PDF, EPUB and Kindle. Book excerpt: The use of beamlets as a dose calculation tool in Intensity Modulated Radiation Therapy (IMRT) treatment planning is widespread and well documented. A beamlet can simply be defined as the contribution of radiation passing through a particular geometrically defined subdivision of a given linear accelerator's emerging radiation field. The most common classes of algorithms used today to calculate the dose distributions deposited by beamlets are the pencil beam convolution and col-lapsed cone classes of algorithms. Using BEAMnrc [1], a Monte Carlo (MC) based radiation transport simulation software package, this thesis presents a novel method of calculating MC beamlet dose distributions with a level of accuracy not achievable using the above analytic dose calculation methods. In a first application, the MC beamlet dose distributions generated in this thesis are used to fine-tune the output of the MC or "virtual" linear accelerator from which they are produced. This is achieved through the adjustment of individual beamlet weights to align the output of the virtual accelerator to the experimentally measured output of the modeled accelerator in water. In a second application, MC beamlets are used to derive corrections to particular Multileaf Collimator (MLC) leaf sequences of IMRT treatment plans that have been miscalculated by a convolution-based dose calculation algorithm. These calculation inaccuracies (up to as much as 15%) arise due to the well known fact that convolution-based algorithms do not accurately model dose deposition in inhomoge?neous media, such as lung [2] [3] [4]. In a final application, the MC beamlet generation method described in this thesis is implemented into a direct aperture optimization (DAO) algorithm. The implementation of MC beamlet generation in DAO forms the basis for a purely MC based inverse treatment planning system.
Book Synopsis Generation and Application of Monte Carlo Calculated Beamlet Dose Distributions in Radiation Therapy by :
Download or read book Generation and Application of Monte Carlo Calculated Beamlet Dose Distributions in Radiation Therapy written by and published by . This book was released on 2006 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: The use of beamlets as a dose calculation tool in Intensity Modulated Radiation Therapy (IMRT) treatment planning is widespread and well documented. A beamlet can simply be defined as the contribution of radiation passing through a particular geometrically defined subdivision of a given linear accelerator's emerging radiation field. The most common classes of algorithms used today to calculate the dose distributions deposited by beamlets are the pencil beam convolution and col-lapsed cone classes of algorithms. Using BEAMnrc [1], a Monte Carlo (MC) based radiation transport simulation software package, this thesis presents a novel method of calculating MC beamlet dose distributions with a level of accuracy not achievable using the above analytic dose calculation methods. In a first application, the MC beamlet dose distributions generated in this thesis are used to fine-tune the output of the MC or "virtual" linear accelerator from which they are produced. This is achieved through the adjustment of individual beamlet weights to align the output of the virtual accelerator to the experimentally measured output of the modeled accelerator in water. In a second application, MC beamlets are used to derive corrections to particular Multileaf Collimator (MLC) leaf sequences of IMRT treatment plans that have been miscalculated by a convolution-based dose calculation algorithm. These calculation inaccuracies (up to as much as 15%) arise due to the well known fact that convolution-based algorithms do not accurately model dose deposition in inhomogeneous media, such as lung [2] [3] [4]. In a final application, the MC beamlet generation method described in this thesis is implemented into a direct aperture optimization (DAO) algorithm. The implementation of MC beamlet generation in DAO forms the basis for a purely MC based inverse treatment planning system.
Book Synopsis The Generation and Application of Monte Carlo Calculated Beamlet Dose Distributions in Radiation Therapy by : Karl Kenneth Bush
Download or read book The Generation and Application of Monte Carlo Calculated Beamlet Dose Distributions in Radiation Therapy written by Karl Kenneth Bush and published by . This book was released on 2006 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: The use of beamlets as a dose calculation tool in Intensity Modulated Radiation Therapy (IMRT) treatment planning is widespread and well documented. A beamlet can simply be defined as the contribution of radiation passing through a particular geometrically defined subdivision of a given linear accelerator's emerging radiation field. The most common classes of algorithms used today to calculate the dose distributions deposited by beamlets are the pencil beam convolution and col-lapsed cone classes of algorithms. Using BEAMnrc [1], a Monte Carlo (MC) based radiation transport simulation software package, this thesis presents a novel method of calculating MC beamlet dose distributions with a level of accuracy not achievable using the above analytic dose calculation methods. In a first application, the MC beamlet dose distributions generated in this thesis are used to fine-tune the output of the MC or "virtual" linear accelerator from which they are produced. This is achieved through the adjustment of individual beamlet weights to align the output of the virtual accelerator to the experimentally measured output of the modeled accelerator in water. In a second application, MC beamlets are used to derive corrections to particular Multileaf Collimator (MLC) leaf sequences of IMRT treatment plans that have been miscalculated by a convolution-based dose calculation algorithm. These calculation inaccuracies (up to as much as 15%) arise due to the well known fact that convolution-based algorithms do not accurately model dose deposition in inhomoge?neous media, such as lung [2] [3] [4]. In a final application, the MC beamlet generation method described in this thesis is implemented into a direct aperture optimization (DAO) algorithm. The implementation of MC beamlet generation in DAO forms the basis for a purely MC based inverse treatment planning system.
Book Synopsis Fast Monte Carlo Simulations for Quality Assurance in Radiation Therapy by : Yuhe Wang
Download or read book Fast Monte Carlo Simulations for Quality Assurance in Radiation Therapy written by Yuhe Wang and published by . This book was released on 2017 with total page 120 pages. Available in PDF, EPUB and Kindle. Book excerpt: Monte Carlo (MC) simulation is generally considered to be the most accurate method for dose calculation in radiation therapy. However, it suffers from the low simulation efficiency (hours to days) and complex configuration, which impede its applications in clinical studies. The recent rise of MRI-guided radiation platform (e.g. ViewRay's MRIdian system) brings urgent need of fast MC algorithms because the introduced strong magnetic field may cause big errors to other algorithms. My dissertation focuses on resolving the conflict between accuracy and efficiency of MC simulations through 4 different approaches: (1) GPU parallel computation, (2) Transport mechanism simplification, (3) Variance reduction, (4) DVH constraint. Accordingly, we took several steps to thoroughly study the performance and accuracy influence of these methods. As a result, three Monte Carlo simulation packages named gPENELOPE, gDPMvr and gDVH were developed for subtle balance between performance and accuracy in different application scenarios. For example, the most accurate gPENELOPE is usually used as "golden standard" for radiation meter model, while the fastest gDVH is usually used for quick in-patient dose calculation, which significantly reduces the calculation time from 5 hours to 1.2 minutes (250 times faster) with only 1% error introduced. In addition, a cross-platform GUI integrating simulation kernels and 3D visualization was developed to make the toolkit more user-friendly. After the fast MC infrastructure was established, we successfully applied it to four radiotherapy scenarios: (1) Validate the vender provided Co60 radiation head model by comparing the dose calculated by gPENELOPE to experiment data; (2) Quantitatively study the effect of magnetic field to dose distribution and proposed a strategy to improve treatment planning efficiency; (3) Evaluate the accuracy of the build-in MC algorithm of MRIdian's treatment planning system. (4) Perform quick quality assurance (QA) for the "online adaptive radiation therapy" that doesn't permit enough time to perform experiment QA. Many other time-sensitive applications (e.g. motional dose accumulation) will also benefit a lot from our fast MC infrastructure.
Book Synopsis Monte Carlo Treatment Planning with Modulated Electron Radiotherapy by : Andrew William Alexander
Download or read book Monte Carlo Treatment Planning with Modulated Electron Radiotherapy written by Andrew William Alexander and published by . This book was released on 2012 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Within the field of medical physics, Monte Carlo radiation transport simulations are considered to be the most accurate method for the determination of dose distributions in patients. The McGill Monte Carlo treatment planning system (MMCTP), provides a flexible software environment to integrate Monte Carlo simulations with current and new treatment modalities. A developing treatment modality called energy and intensity modulated electron radiotherapy (MERT) is a promising modality, which has the fundamental capabilities to enhance the dosimetry of superficial targets. An objective of this work is to advance the research and development of MERT with the end goal of clinical use. To this end, we present the MMCTP system with an integrated toolkit for MERT planning and delivery of MERT fields. Delivery is achieved using an automated "few leaf electron collimator" (FLEC) and a controller. Aside from the MERT planning toolkit, the MMCTP system required numerous...
Book Synopsis A Monte Carlo Model of Quality Assurance of Intensity Modulated Radiotherapy by : Randi Fogg Aaronson
Download or read book A Monte Carlo Model of Quality Assurance of Intensity Modulated Radiotherapy written by Randi Fogg Aaronson and published by . This book was released on 2003 with total page 512 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Applications of Simulation Codes Based on Monte Carlo Method for Radiotherapy by : Mirko Salomón Alva-Sánchez
Download or read book Applications of Simulation Codes Based on Monte Carlo Method for Radiotherapy written by Mirko Salomón Alva-Sánchez and published by . This book was released on 2020 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Monte Carlo simulations have been applied to determine and study different parameters that are challenged in experimental measurements, due to its capability in simulating the radiation transport with a probability distribution to interact with electrosferic electrons and some cases with the nucleus from an arbitrary material, which such particle track or history can carry out physical quantities providing data from a studied or investigating quantities. For this reason, simulation codes, based on Monte Carlo, have been proposed. The codes currently available are MNCP, EGSnrc, Geant, FLUKA, PENELOPE, as well as GAMOS and TOPAS. These simulation codes have become a tool for dose and dose distributions, essentially, but also for other applications such as design clinical, tool for commissioning of an accelerator linear, shielding, radiation protection, some radiobiologic aspect, treatment planning systems, prediction of data from results of simulation scenarios. In this chapter will be present some applications for radiotherapy procedures with use, specifically, megavoltage x-rays and electrons beams, in scenarios with homogeneous and anatomical phantoms for determining dose, dose distribution, as well dosimetric parameters through the PENELOPE and TOPAS code.
Book Synopsis Encyclopedia of Radiation Oncology by : Luther W. Brady
Download or read book Encyclopedia of Radiation Oncology written by Luther W. Brady and published by Springer. This book was released on 2012-09-15 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This comprehensive encyclopedia, comprising a wide range of entries written by leading experts, provides detailed information on radiation oncology, including the most recent developments in the field. It will be of particular value for basic and clinical scientists in academia, practice, and industry and will also be of benefit to those in related fields, students, teachers, and interested laypersons.
Book Synopsis Development of a Forward/adjoint Hybrid Monte Carlo Absorbed Dose Calculational Method for Use in Radiation Therapy by : Mat Mustafa Tamimi
Download or read book Development of a Forward/adjoint Hybrid Monte Carlo Absorbed Dose Calculational Method for Use in Radiation Therapy written by Mat Mustafa Tamimi and published by . This book was released on 2014 with total page 163 pages. Available in PDF, EPUB and Kindle. Book excerpt: A successful radiation therapy treatment aims at conforming (i.e., concentrating) radiation dose to the entire tumor volume (i.e., diseased area) while avoiding surrounding normal tissue (i.e., healthy non-diseased areas). This objective is achieved clinically by finding a set of radiation beam parameters that successfully deliver the desired dose distribution. In this project, a hybrid forward/adjoint Monte Carlo based absorbed dose computation method is developed and tested, aimed at eventual implementation in a radiation therapy external beam treatment planning system to predict the absorbed dose produced by a medical linear accelerator. This absorbed dose calculational engine was designed to be:1. Efficient. This is achieved by incorporating several Monte Carlo techniques used in the Nuclear Engineering field for deep penetration and reactor analysis problem. 2. Flexible. This is achieved by using a Cartesian grid and a voxelized material map. Currently most of the absorbed dose calculation algorithms in radiotherapy are 3-D based predictive models. The use of such algorithms results in treatment planning quality that depends tremendously on the planner’s experience and knowledge base. This dependence, along with inaccuracy in predicting absorbed dose due to the assumptions and simplifications used in these algorithms, can result in a predicted absorbed dose that under- or over-predicts the delivered dose. As an alternative, forward and adjoint Monte Carlo absorbed dose computation methods have been used and validated by several authors (Difilippo, 1998; Goldstein & Regev, 1999; Jeraj & Keall, 1999). However, in the “pure” forward or adjoint methods, each change in the radiation beam parameters requires its own time-consuming 3D calculation; for the hybrid technique developed in this research, a single 3D calculation for each desired dose region (tumor or healthy organ) is all that is required. This project also improves the Monte Carlo methodology by incorporating the use of voxelized fictitious scattering and surface forward/adjoint coupling. The accuracy is demonstrated through comparison with forward and adjoint MCNP calculations of a simple beam/patient sample problem.
Book Synopsis Application of Monte Carlo Simulations to the Development of Energy- and Intensity-modulated Electron Beam Radiation Therapy by : Michael C. Lee
Download or read book Application of Monte Carlo Simulations to the Development of Energy- and Intensity-modulated Electron Beam Radiation Therapy written by Michael C. Lee and published by . This book was released on 2002 with total page 276 pages. Available in PDF, EPUB and Kindle. Book excerpt:
