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Joao (Massachusetts General Hospital, Boston, USA) Seco & Frank Verhaegen 
Monte Carlo Techniques in Radiation Therapy 
Applications to Dosimetry, Imaging, and Preclinical Radiotherapy

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Couverture du Joao (Massachusetts General Hospital, Boston, USA) Seco & Frank Verhaegen: Monte Carlo Techniques in Radiation Therapy (ePUB)

Thoroughly updated throughout, this second edition of Monte Carlo Techniques in Radiation Therapy: Applications to Dosimetry, Imaging, and Preclinical Radiotherapy , edited by Joao Seco and Frank Verhaegen, explores the use of Monte Carlo methods for modelling various features of internal and external radiation sources.


Monte Carlo methods have been heavily used in the field of radiation therapy in applications such as dosimetry, imaging, radiation chemistry, modelling of small animal irradiation units, etc. The aim of this book is to provide a compendium of the Monte Carlo methods that are commonly used in radiation therapy applications, which will allow students, postdoctoral fellows, and university professors to learn and teach Monte Carlo techniques. This book provides concise but detailed information about many Monte Carlo applications that cannot be found in any other didactic or scientific book.


This second edition contains many new chapters on topics such as:




  • Monte Carlo studies of prompt gamma emission


  • Developments in proton imaging


  • Monte Carlo for cone beam CT imaging


  • Monte Carlo modelling of proton beams for small animal irradiation


  • Monte Carlo studies of microbeam radiation therapy


  • Monte Carlo in micro- and nano-dosimetry


  • GPU-based fast Monte Carlo simulations for radiotherapy


This book is primarily aimed at students and scientists wishing to learn and improve their knowledge of Monte Carlo methods in radiation therapy.

€130.44
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Format EPUB ● Pages 298 ● ISBN 9781000455601 ● Éditeur Joao (Massachusetts General Hospital, Boston, USA) Seco & Frank Verhaegen ● Maison d’édition CRC Press ● Publié 2021 ● Téléchargeable 3 fois ● Devise EUR ● ID 8182513 ● Protection contre la copie Adobe DRM
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