Gavin Poludniowski – författare

Calculating x-ray tube spectra provides a comprehensive review of the modelling of x-ray tube emissions, with a focus on medical imaging and radiotherapy applications. It begins by covering the relevant background, before discussing modelling approaches, including both analytical formulations and Monte Carlo simulation. Historical context is provided, based on the past century of literature, as well as a summary of recent developments and insights. The book finishes with example applications for spectrum models, including beam quality prediction and the calculation of dosimetric and image-quality metrics.This book will be a valuable resource for postgraduate and advanced undergraduate students studying medical radiation physics, in addition to those in teaching, research, industry and healthcare settings whose work involves x-ray tubes.Key Features:Covers simple modelling approaches as well as full Monte Carlo simulation of x-ray tubes.Bremsstrahlung and characteristic contributions to the spectrum are discussed in detail.Learning is supported by free open-source software and an online repository of code.An online repository of the code that accompanies this book can be found here: https://bitbucket.org/caxtus

Calculating x-ray tube spectra provides a comprehensive review of the modelling of x-ray tube emissions, with a focus on medical imaging and radiotherapy applications. It begins by covering the relevant background, before discussing modelling approaches, including both analytical formulations and Monte Carlo simulation. Historical context is provided, based on the past century of literature, as well as a summary of recent developments and insights. The book finishes with example applications for spectrum models, including beam quality prediction and the calculation of dosimetric and image-quality metrics.This book will be a valuable resource for postgraduate and advanced undergraduate students studying medical radiation physics, in addition to those in teaching, research, industry and healthcare settings whose work involves x-ray tubes.Key Features:Covers simple modelling approaches as well as full Monte Carlo simulation of x-ray tubes.Bremsstrahlung and characteristic contributions to the spectrum are discussed in detail.Learning is supported by free open-source software and an online repository of code.An online repository of the code that accompanies this book can be found here: https://bitbucket.org/caxtus

Imaging modalities in radiology produce ever-increasing amounts of data which need to be displayed, optimized, analyzed and archived: a "big data" as well as an "image processing" problem. Computer programming skills are rarely emphasized during the education and training of medical physicists, meaning that many individuals enter the workplace without the ability to efficiently solve many real-world clinical problems.This book provides a foundation for the teaching and learning of programming for medical physicists and other professions in the field of Radiology and offers valuable content for novices and more experienced readers alike.It focuses on providing readers with practical skills on how to implement MATLAB® as an everyday tool, rather than on solving academic and abstract physics problems. Further, it recognizes that MATLAB is only one tool in a medical physicist’s toolkit and shows how it can be used as the "glue" to integrate other software and processes together. Yet, with great power comes great responsibility. The pitfalls to deploying your own software in a clinical environment are also clearly explained. This book is an ideal companion for all medical physicists and medical professionals looking to learn how to utilize MATLAB in their work.Features Encompasses a wide range of medical physics applications in diagnostic and interventional radiologyAdvances the skill of the reader by taking them through real-world practical examples and solutions with access to an online resource of example codeThe diverse examples of varying difficulty make the book suitable for readers from a variety of backgrounds and with different levels of programming experience.