Pre-calculated Track Monte Carlo Dose Calculation Engine PDF Download

Author: Marc-André Renaud
Publisher:
ISBN:
Category :
Languages : en
Pages :

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"Modern treatment planning techniques such as inverse planning have increased the demand for rapid dose calculation methods to accommodate the large number of dose distributions required to generate a treatment plan. General-purpose Monte Carlo approaches for dose calculation are known to offer the highest accuracy in dose calculation at the expense of significant computing time. This work adapts a Macro Monte Carlo approach to dose calculation for electrons andprotons for use with a GPU card, using pre-generated tracks from general-purpose Monte Carlo codes. The algorithm was implemented on the CUDA framework for parallel programming on graphics cards. Comparisons of the algorithm inhomogeneous and inhomogeneous geometry with benchmark Monte Carlo codes yielded agreements within 1% in dose regions of at least 50% of Dmax and up to 3% in low dose regions. A Bragg peak positioning error of less than 1 mm was also observed. Additionally, the limited memory available in commercial graphics cards was overcome by subdividing a mother track bank residing on CPU memory into smaller samples of unique tracks. A method to quantify the latent uncertainty in dose values due to the limited size of a pre-generated track bank was developed. It was shown that the latent uncertainty follows a Poisson distribution as a function of the total number of unique tracks in the track bank. The implementation of the algorithm was found to transport particles in sub-second times per million history for every situation simulated, with speed-ups of 500-2600x for electrons over DOSXYZnrc and 2600-11500x for protons over GEANT4 depending on the particle energies and simulation media." --

Author: Alexander J. Egan
Publisher:
ISBN:
Category : Monte Carlo method
Languages : en
Pages : 159

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Book Description
Monte Carlo (MC) algorithms are widely accepted as the most accurate method to calculate dose in a patient geometry. For this work the EGSnrc MC code was used as a benchmark for the identification of dose calculation errors produced by the widely implemented analytical anisotropic algorithm (AAA). By correlating the location and magnitude of these errors with the physical conditions under which AAA is known to fail, a set of error prediction methods was developed which can help to identify clinical plans that are at high risk for AAA dose calculation errors. Once these plans are identified, they can be recalculated with a more accurate algorithm. First, in order to calculate clinical treatment plans with MC, a treatment plan calculation framework (MCTPCF) was developed and validated. The underlying beam model used in the MCTPCF was thoroughly benchmarked against a standard open field data set. Radiochromic film measurements were then used to validate the geometry of the employed MC multileaf collimator (MLC) model. Mechanical functionality of the MCTPCF was verified by calculating several highly modulated clinical treatment plans and comparing them with AAA calculations. Next, three novel error prediction algorithms were developed and validated to a limited extent. The first, designated the field size index (FSI), identifies regions in the treatment plan space where many small fields or blocks overlap, leading to a build-up of beam modeling and volume averaging errors. The second, designated the heterogeneous scatter index (HSI), identifies regions within the electron density distribution where the AAA rectilinear kernel scaling approximation is stressed. The third, designated the low-density index (LDI), identifies regions of very low electron density where AAA is known to overestimate dose. An open field beam model for the 6MV Varian Clinac has been fully parameterized and is able to calculate dose to within 1.3% and 1.0 mm DTA ([sigma][mean] = 0.3%). The MCTPCF has been shown to accurately calculate highly modulated, multiple field treatments. FSI calculations show excellent agreement with MC/AAA deviations in highly modulated MLC fields in water, and to a lesser extent in patient geometry RapidArc treatments. The LDI accurately predicts AAA overdosing for simple geometries, however for the lung case investigated other sources of error made identifying any correlation a challenge. The theoretical structure of the HSI has been developed, however its implementation is still underway. An accurate MC based treatment plan calculation tool has been developed and validated. Three novel error prediction algorithms have been developed, two of which have been validated for homogenous geometries. In particular, the FSI shows promise as both a direct predictor of AAA error, and also as a general treatment plan complexity index. With sufficient benchmarking, these methods may be developed into a clinical tool that can identify treatment plans that are at high risk for AAA dose calculation errors.

Author: H. Zaidi
Publisher: CRC Press
ISBN: 1000687686
Category : Medical
Languages : en
Pages : 441

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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

Author: Joao Seco
Publisher: Taylor & Francis
ISBN: 1466507942
Category : Mathematics
Languages : en
Pages : 334

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Book Description
Modern cancer treatment relies on Monte Carlo simulations to help radiotherapists and clinical physicists better understand and compute radiation dose from imaging devices as well as exploit four-dimensional imaging data. With Monte Carlo-based treatment planning tools now available from commercial vendors, a complete transition to Monte Carlo-base

Author: McKenzie Thomas
Publisher:
ISBN:
Category :
Languages : en
Pages : 134

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Author: Frank Verhaegen
Publisher: CRC Press
ISBN: 1000455556
Category : Medical
Languages : en
Pages : 291

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Book Description
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.

Author: Nin-Fai Francis Tang
Publisher: Open Dissertation Press
ISBN: 9781361430019
Category :
Languages : en
Pages :

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This dissertation, "Monte Carlo Dose Calculations in Quality Assurance for IMRT of Head and Neck Cancers" by Nin-fai Francis, Tang, 鄧年輝, was obtained from The University of Hong Kong (Pokfulam, Hong Kong) and is being sold pursuant to Creative Commons: Attribution 3.0 Hong Kong License. The content of this dissertation has not been altered in any way. We have altered the formatting in order to facilitate the ease of printing and reading of the dissertation. All rights not granted by the above license are retained by the author. DOI: 10.5353/th_b4020379 Subjects: Radiation - Dosage - Mathematical models Monte Carlo method Head - Cancer - Radiotherapy Neck - Cancer - Radiotherapy

Author: Slavik Tabakov
Publisher: CRC Press
ISBN: 0429953488
Category : Science
Languages : en
Pages : 1083

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Book Description
Contains over 3300 entries with accompanying diagrams, images, formulas, further reading, and examples Covers both the classical and newest elements in medical imaging, radiotherapy, and radiation protection Discusses material at a level accessible to graduate and postgraduate students in medical physics and related disciplines as well as medical specialists and researchers.

Author: Luther W. Brady
Publisher: Springer
ISBN: 9783540855132
Category : Medical
Languages : en
Pages : 0

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Book Description
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.

Author: Oleg N. Vassiliev
Publisher: Springer
ISBN: 3319441418
Category : Science
Languages : en
Pages : 292

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Book Description
This book is a guide to the use of Monte Carlo techniques in radiation transport. This topic is of great interest for medical physicists. Praised as a "gold standard" for accurate radiotherapy dose calculations, Monte Carlo has stimulated a high level of research activity that has produced thousands of papers within the past few years. The book is designed primarily to address the needs of an academically inclined medical physicist who wishes to learn the technique, as well as experienced users of standard Monte Carlo codes who wish to gain insight into the underlying mathematics of Monte Carlo algorithms. The book focuses on the fundamentals—giving full attention to and explaining the very basic concepts. It also includes advanced topics and covers recent advances such as transport of charged particles in magnetic fields and the grid-based solvers of the Boltzmann equation.