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Clinical Radiotherapy Physics with MATLAB

A Problem-Solving Approach

Pavel Dvorak

$88.99

Paperback

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CRC Press
30 June 2020
The first MATLAB (R) programming book written specifically for clinical radiotherapy medical physicists and medical physics trainees, this much-needed book teaches users how to create their own clinical applications using MATLAB (R), as a complement to commercial software particularly when the latter does not cover specific local clinical needs.

Chapters explore key radiotherapy areas such as handling volumes, 3D dose calculation, comparing dose distributions, reconstructing treatment plans and their summations, and automated tests for machine quality assurance. Readers will learn to independently analyse and process images, doses, structures, and other radiotherapy clinical data to deal with standard and non-standard situations in radiotherapy. This book will also significantly improve understanding of areas such as data nature, information content, DICOM RT standard, and data flow. It will be an invaluable reference for students of medical physics, in addition to clinical radiotherapy physicists and researchers working in radiotherapy.

Features:

Includes real clinical medical physics applications derived from actual clinical problems Provides commented MATLAB (R) scripts working with sample data and/or own data matching input requirements Promotes critical thinking and practical problem solving skills
By:   Pavel Dvorak
Imprint:   CRC Press
Country of Publication:   United Kingdom
Dimensions:   Height: 254mm,  Width: 178mm, 
Weight:   517g
ISBN:   9780367571481
ISBN 10:   036757148X
Pages:   244
Publication Date:   30 June 2020
Audience:   College/higher education ,  Primary
Format:   Paperback
Publisher's Status:   Active
1. MATLAB essentials and principles of simple programming. 2. Radiotherapy physics related data types & basic operations. 3. Reconstructing basic DICOM RT data 4. Modifying DICOM data in radiotherapy. 5. Simple 3D plan sum using rigid registration. 6. Handling regions and volumes of interest in radiotherapy. 7. Three-dimensional dose calculation in radiotherapy. 8. Semi-automated measurement of linac major mechanical parameters. 9. Comparing dose distributions: the gamma method. 10. Example of accessory modeling in radiotherapy

Pavel Dvorak is a medical physicist with several years' experience in managerial clinical positions. Within medical physics, he has worked in education, research, and clinical practice in public and private health institutions in the Czech Republic, Austria, and the United Kingdom. His speciality is implementing novel techniques and technologies, creating and managing efficient workflows, and problem solving in radiotherapy.

Reviews for Clinical Radiotherapy Physics with MATLAB: A Problem-Solving Approach

This is a well-structured book! Nothing else to expect from an excellent author on the subject of programming. Pavel Dvorak Ph.D.is a Czech medical physicist who had worked at various places in Austria and the United Kingdom and who summarizes in this book his enormous amount of knowledge to work with MatLab (R) scripts related to clinical radiotherapy physics that he collected for more than 10 years. The additional web-based resources to the book add up to >900MB as ZIP-file including DICOM sample data files. In the book are MatLab (R) scripts presented in great detail, that are useful for medical physicists in radiotherapy with ambitions to dig into and/or handle the data themselves for research or quality assurance purpose (clinical use is declined for liability reasons) as well as for students with interests in getting to know clinical radiotherapy physics from the computational side of it. The book starts with lists of acronyms and abbreviations and definition of terms that each are briefly explained, so a newcomer to this field is not lost by the use of special acronyms or terms later in the text. The subsequent text is divided into 10 chapters, starting with a chapter on the basics of MatLab (R)...Each chapter starts with a list of the intended learning outcomes that will be covered in the following. The literature referenced (not much, but better than nothing!) is also listed at the end of each chapter. This way the chapters could be possibly used as stand-alone modules, e.g.as an instructional text for an inverted-classroom teaching concept of a course....This is a well-structured compendium of in great detail explained useful scripts to be used in the commercial MatLab (R) scripting environment. -Prof. Dr. Markus Buchgeister, Beuth Hochschule fur Technik Berlin, in The European Federation of Organizations for Medical Physics Bulletin (Spring 2019) This book provides a dummy for beginner's guide to using


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