Clinical radiotherapy physics with MATLAB : a problem-solving approach
著者
書誌事項
Clinical radiotherapy physics with MATLAB : a problem-solving approach
（Series in medical physics and biomedical engineering / editors: C.G. Orton, J.A.E. Spaan, J.G. Webster）
CRC Press, an imprint of Taylor & Francis, c2018
- : hardback
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注記
Includes bibliographical references and index
内容説明・目次
内容説明
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
目次
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
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