Image Processing In Radiation Therapy PDF Download
Are you looking for read ebook online? Search for your book and save it on your Kindle device, PC, phones or tablets. Download Image Processing In Radiation Therapy PDF full book. Access full book title Image Processing In Radiation Therapy.
| Author | : Kristy K. Brock |
| Publisher | : CRC Press |
| Total Pages | : 269 |
| Release | : 2016-04-19 |
| Genre | : Medical |
| ISBN | : 1439830185 |
Download Image Processing in Radiation Therapy Book in PDF, ePub and Kindle
Images from CT, MRI, PET, and other medical instrumentation have become central to the radiotherapy process in the past two decades, thus requiring medical physicists, clinicians, dosimetrists, radiation therapists, and trainees to integrate and segment these images efficiently and accurately in a clinical environment. Image Processing in Radiation
| Author | : Thomas Bortfeld |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 452 |
| Release | : 2006-05-28 |
| Genre | : Medical |
| ISBN | : 3540303561 |
Download Image-Guided IMRT Book in PDF, ePub and Kindle
Intensity-modulated radiation therapy (IMRT), one of the most important developments in radiation oncology in the past 25 years, involves technology to deliver radiation to tumors in the right location, quantity and time. Unavoidable irradiation of surrounding normal tissues is distributed so as to preserve their function. The achievements and future directions in the field are grouped in the three sections of the book, each suitable for supporting a teaching course. Part 1 contains topical reviews of the basic principles of IMRT, part 2 describes advanced techniques such as image-guided and biologically based approaches, and part 3 focuses on investigation of IMRT to improve outcome at various cancer sites.
| Author | : Hidetaka Arimura |
| Publisher | : Springer |
| Total Pages | : 383 |
| Release | : 2017-01-26 |
| Genre | : Medical |
| ISBN | : 9811029458 |
Download Image-Based Computer-Assisted Radiation Therapy Book in PDF, ePub and Kindle
This book provides a comprehensive overview of the state-of-the-art computational intelligence research and technologies in computer-assisted radiation therapy based on image engineering. It also traces major technical advancements and research findings in the field of image-based computer-assisted radiation therapy. In high-precision radiation therapies, novel approaches in image engineering including computer graphics, image processing, pattern recognition, and computational anatomy play important roles in improving the accuracy of radiation therapy and assisting decision making by radiation oncology professionals, such as radiation oncologists, radiation technologists, and medical physicists, in each phase of radiation therapy. All the topics presented in this book broaden understanding of the modern medical technologies and systems for image-based computer-assisted radiation therapy. Therefore this volume will greatly benefit not only radiation oncologists and radiologists but also radiation technologists, professors in medical physics or engineering, and engineers involved in the development of products to utilize this advanced therapy.
| Author | : Wolfgang C. Schlegel |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 453 |
| Release | : 2006-01-27 |
| Genre | : Medical |
| ISBN | : 3540299998 |
Download New Technologies in Radiation Oncology Book in PDF, ePub and Kindle
- Summarizes the state of the art in the most relevant areas of medical physics and engineering applied to radiation oncology - Covers all relevant areas of the subject in detail, including 3D imaging and image processing, 3D treatment planning, modern treatment techniques, patient positioning, and aspects of verification and quality assurance - Conveys information in a readily understandable way that will appeal to professionals and students with a medical background as well as to newcomers to radiation oncology from the field of physics
| Author | : Xun Jia |
| Publisher | : CRC Press |
| Total Pages | : 396 |
| Release | : 2018-09-21 |
| Genre | : Medical |
| ISBN | : 1482244799 |
Download Graphics Processing Unit-Based High Performance Computing in Radiation Therapy Book in PDF, ePub and Kindle
Use the GPU Successfully in Your Radiotherapy Practice With its high processing power, cost-effectiveness, and easy deployment, access, and maintenance, the graphics processing unit (GPU) has increasingly been used to tackle problems in the medical physics field, ranging from computed tomography reconstruction to Monte Carlo radiation transport simulation. Graphics Processing Unit-Based High Performance Computing in Radiation Therapy collects state-of-the-art research on GPU computing and its applications to medical physics problems in radiation therapy. Tackle Problems in Medical Imaging and Radiotherapy The book first offers an introduction to the GPU technology and its current applications in radiotherapy. Most of the remaining chapters discuss a specific application of a GPU in a key radiotherapy problem. These chapters summarize advances and present technical details and insightful discussions on the use of GPU in addressing the problems. The book also examines two real systems developed with GPU as a core component to accomplish important clinical tasks in modern radiotherapy. Translate Research Developments to Clinical Practice Written by a team of international experts in radiation oncology, biomedical imaging, computing, and physics, this book gets clinical and research physicists, graduate students, and other scientists up to date on the latest in GPU computing for radiotherapy. It encourages you to bring this novel technology to routine clinical radiotherapy practice.
| Author | : Gilmer Valdes |
| Publisher | : CRC Press |
| Total Pages | : 201 |
| Release | : 2023-08-14 |
| Genre | : Computers |
| ISBN | : 1000903818 |
Download Artificial Intelligence in Radiation Oncology and Biomedical Physics Book in PDF, ePub and Kindle
This pioneering book explores how machine learning and other AI techniques impact millions of cancer patients who benefit from ionizing radiation. It features contributions from global researchers and clinicians, focusing on the clinical applications of machine learning for medical physics. AI and machine learning have attracted much recent attention and are being increasingly adopted in medicine, with many clinical components and commercial software including aspects of machine learning integration. General principles and important techniques in machine learning are introduced, followed by discussion of clinical applications, particularly in radiomics, outcome prediction, registration and segmentation, treatment planning, quality assurance, image processing, and clinical decision-making. Finally, a futuristic look at the role of AI in radiation oncology is provided. This book brings medical physicists and radiation oncologists up to date with the most novel applications of machine learning to medical physics. Practitioners will appreciate the insightful discussions and detailed descriptions in each chapter. Its emphasis on clinical applications reaches a wide audience within the medical physics profession.
| Author | : Atam P Dhawan |
| Publisher | : World Scientific |
| Total Pages | : 869 |
| Release | : 2008-03-17 |
| Genre | : Medical |
| ISBN | : 9814476064 |
Download Principles And Advanced Methods In Medical Imaging And Image Analysis Book in PDF, ePub and Kindle
Computerized medical imaging and image analysis have been the central focus in diagnostic radiology. They provide revolutionalizing tools for the visualization of physiology as well as the understanding and quantitative measurement of physiological parameters. This book offers in-depth knowledge of medical imaging instrumentation and techniques as well as multidimensional image analysis and classification methods for research, education, and applications in computer-aided diagnostic radiology. Internationally renowned researchers and experts in their respective areas provide detailed descriptions of the basic foundation as well as the most recent developments in medical imaging, thus helping readers to understand theoretical and advanced concepts for important research and clinical applications.
| Author | : Paulo Ambrosio |
| Publisher | : BoD – Books on Demand |
| Total Pages | : 128 |
| Release | : 2022-04-20 |
| Genre | : Computers |
| ISBN | : 1839697946 |
Download Digital Image Processing Applications Book in PDF, ePub and Kindle
Digital image processing can refer to a wide variety of techniques, concepts, and applications of different types of processing for different purposes. This book provides examples of digital image processing applications and presents recent research on processing concepts and techniques. Chapters cover such topics as image processing in medical physics, binarization, video processing, and more.
| Author | : Elizabeth Berry |
| Publisher | : CRC Press |
| Total Pages | : 360 |
| Release | : 2007-12-07 |
| Genre | : Science |
| ISBN | : 1000738310 |
Download A Practical Approach to Medical Image Processing Book in PDF, ePub and Kindle
The ability to manipulate and analyze pictorial information to improve medical diagnosis, monitoring, and therapy via imaging is a valuable tool that every professional working in radiography, medical imaging, and medical physics should utilize. However, previous texts on the subject have only approached the subject from a programming or computer s
| Author | : Issam El Naqa |
| Publisher | : Springer |
| Total Pages | : 336 |
| Release | : 2015-06-19 |
| Genre | : Medical |
| ISBN | : 3319183052 |
Download Machine Learning in Radiation Oncology Book in PDF, ePub and Kindle
This book provides a complete overview of the role of machine learning in radiation oncology and medical physics, covering basic theory, methods, and a variety of applications in medical physics and radiotherapy. An introductory section explains machine learning, reviews supervised and unsupervised learning methods, discusses performance evaluation, and summarizes potential applications in radiation oncology. Detailed individual sections are then devoted to the use of machine learning in quality assurance; computer-aided detection, including treatment planning and contouring; image-guided radiotherapy; respiratory motion management; and treatment response modeling and outcome prediction. The book will be invaluable for students and residents in medical physics and radiation oncology and will also appeal to more experienced practitioners and researchers and members of applied machine learning communities.
