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About ten years after the first edition comes this second edition of Monte Carlo Techniques in Radiation Therapy: Introduction, Source Modelling, and Patient Dose Calculations, thoroughly updated and extended with the latest topics, edited by Frank Verhaegen and Joao Seco. This book aims to provide a brief introduction to the history and basics of Monte Carlo simulation, but again has a strong focus on applications in radiotherapy. Since the first edition, Monte Carlo simulation has found many new applications, which are included in detail. The applications sections in this book cover the following: Modelling transport of photons, electrons, protons, and ions Modelling radiation sources for ...
3D Printing in Radiation Oncology: Personalization of Patient Treatment Through Digital Fabrication presents a comprehensive and practical view of the many forms in which 3D printing is being integrated into radiation oncology practice. Radiation oncology employs among the most sophisticated digital technologies in medicine. Until recently, however, the “last mile” of treatment has required manually produced or generic devices for patient set up, positioning, control of surface dose, and delivery of brachytherapy treatment. 3D printing is already offering enhancements in both precision and efficiency through the digital design and fabrication of patient photon and electron bolus, customi...
Image synthesis across and within medical imaging modalities is an active area of research with broad applications in radiology and radiation oncology. This book covers the principles and methods of medical image synthesis, along with state-of-the-art research. First, various traditional non-learning-based, traditional machine-learning-based, and recent deep-learning-based medical image synthesis methods are reviewed. Second, specific applications of different inter- and intra-modality image synthesis tasks and of synthetic image-aided segmentation and registration are introduced and summarized, listing and highlighting the proposed methods, study designs, and reported performances with the ...
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 s...
This comprehensive book covers the everyday use and underlying principles of radiation dosimeters used in radiation oncology clinics. It provides an up-to-date reference spanning the full range of current modalities with emphasis on practical know-how. The main audience is medical physicists, radiation oncology physics residents, and medical physics graduate students. The reader gains the necessary tools for determining which detector is best for a given application. Dosimetry of cutting edge techniques from radiosurgery to MRI-guided systems to small fields and proton therapy are all addressed. Main topics include fundamentals of radiation dosimeters, brachytherapy and external beam radiati...
This book explores the current difficulties and unsolved problems in the field of particle therapy and, after analysing them, discusses how (and if) innovative Monte Carlo approaches can be used to solve them. Each book chapter is dedicated to a different sub-discipline, including multi-ion treatments, flash-radiotherapy, laser-accelerated beams, nanoparticles effects, binary reactions to enhance radiobiology, and space-related issues. This is the first book able to provide a comprehensive insight into this exciting field and the growing use of Monte Carlo in medical physics. It will be of interest to graduate students in medicine and medical physics, in addition to researchers and clinical staff. Key Features: Explores the exciting and interdisciplinary topic of Monte Carlo in particle therapy and medicine Addresses common challenges in the field Edited by an authority on the subject, with chapter contributions from specialists
Imaging is everywhere. We use our eyes to see and cameras to take pictures. Scientists use microscopes and telescopes to peer into cells and out to space. Doctors use ultrasound, X-rays, radioisotopes, and MRI to look inside our bodies. If you are curious about imaging, open this textbook to learn the fundamentals. Imaging is a powerful tool in fundamental and applied scientific research and also plays a crucial role in medical diagnostics, treatment, and research. This undergraduate textbook introduces cutting-edge imaging techniques and the physics underlying them. Elementary concepts from electromagnetism, optics, and modern physics are used to explain prominent forms of light microscopy,...
The field of thermal therapy has been growing tenaciously in the last few decades. The application of heat to living tissues, from mild hyperthermia to high-temperature thermal ablation, has produced a host of well-documented genetic, cellular, and physiological responses that are being researched intensely for medical applications, particularly fo
Rapid advances in nanotechnology have enabled the fabrication of nanoparticles from various materials with different shapes, sizes, and properties, and efforts are ongoing to exploit these materials for practical clinical applications. Nanotechnology is particularly relevant in the field of oncology, as the leaky and chaotic vasculature of tumors-a