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Monte Carlo Methods for Radiation Transport

Fundamentals and Advanced Topics

  • Oleg N. Vassiliev

Part of the Biological and Medical Physics, Biomedical Engineering book series (BIOMEDICAL)

Table of contents

  1. Front Matter
    Pages i-xvii
  2. Oleg N. Vassiliev
    Pages 1-14
  3. Oleg N. Vassiliev
    Pages 15-48
  4. Oleg N. Vassiliev
    Pages 49-104
  5. Oleg N. Vassiliev
    Pages 141-193
  6. Oleg N. Vassiliev
    Pages 225-250
  7. Back Matter
    Pages 251-281

About this book

Introduction

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.

Keywords

monte carlo method medical physics radiation therapy radiation transport Boltzmann transport equation Microdosimetry Stochastic transport theory Grid-based Boltzmann solvers (GBBS)

Authors and affiliations

  • Oleg N. Vassiliev
    • 1
  1. 1.Department of Radiation PhysicsThe University of Texas MD Anderson Cancer CenterHoustonUSA

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-44141-2
  • Copyright Information Springer International Publishing Switzerland 2017
  • Publisher Name Springer, Cham
  • eBook Packages Physics and Astronomy
  • Print ISBN 978-3-319-44140-5
  • Online ISBN 978-3-319-44141-2
  • Series Print ISSN 1618-7210
  • Series Online ISSN 2197-5647
  • Buy this book on publisher's site