The rapid development of artificial intelligence technology in medical data analysis has led to the concept of radiomics. This book introduces the essential and latest technologies in radiomics, such as imaging segmentation, quantitative imaging feature extraction, and machine learning methods for model construction and performance evaluation, providing invaluable guidance for the researcher entering the field. It fully describes three key aspects of radiomic clinical practice: precision d...

This is the first book to cover all aspects of the development of imaging biomarkers and their integration into clinical practice, from the conceptual basis through to the technical aspects that need to be considered in order to ensure that medical imaging can serve as a powerful quantification instrument capable of providing valuable information on organ and tissue properties. The process of imaging biomarker development is considered step by step, covering proof of concept, proof of mech...

In this book, experts from premier institutions across the world with extensive experience in the field clearly and succinctly describe the current and anticipated uses of PET/MRI in oncology. The book also includes detailed presentations of the MRI and PET technologies as they apply to the combined PET/MRI scanners. The applications of PET/MRI in a wide range of oncological settings are well documented, highlighting characteristic findings, advantages of this dual-modality technique, and ...

This book describes the latest modalities such as tau PET imaging for diagnosis of Alzheimer’s disease and other dementias, and also provides information on handling and analyzing imaging data that is not found in other books. In addition, it introduces routine imaging studies in the management of dementia in Japan. The prevalence of dementia has increased over the past few decades, either because of greater awareness and more accurate diagnosis, or because increased longevity has created ...

The management of patients with a glioma is challenging and best achieved by a team approach encompassing a combination of chemotherapy, radiotherapy, immunotherapy, and surgical excision in a specialist Cancer Center - the balance of treatment depending on the site and grade of tumor. Survival rates are improving and care of patients with or recovering from gliomas is increasingly handled in the community under the care of local physicians. This book provides an authoritative, multi-disci...

This work is devoted to understanding the recent advances in nuclear medicine and molecular imaging technologies along with their application to integrated medical therapy and future drug development. This anthology is based on the international symposium in 2015 entitled “Perspective on Nuclear Medicine for Molecular Diagnosis and Integrated Therapy. “The symposium provided an opportunity to exchange ideas on how to promote nuclear medicine technology and how to extend the technology to m...

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 q...

This book bridges the gap between data scientists and clinicians by introducing all relevant aspects of machine learning in an accessible way, and will certainly foster new and serendipitous applications of machine learning in the clinical neurosciences. Building from the ground up by communicating the foundational knowledge and intuitions first before progressing to more advanced and specific topics, the book is well-suited even for clinicians without prior machine learning experience.

This book equips readers with detailed knowledge on the current status of image-guided radiotherapy with photons and particles and highlights issues that need to be addressed in order to further improve treatment outcomes. The opening chapters cover clinical and technical aspects of target volume definition using anatomic (computed tomography and magnetic resonance imaging; MRI) as well as functional (MRI and positron emission tomography) imaging. Up-to-date information is then provided on...

This book explores how PPPM, clinical practice, and basic research could be best served by information technology (IT). A use-case was developed for hepatocellular carcinoma (HCC). The subject was approached with four interrelated tasks: (1) review of clinical practices relating to HCC; (2) propose an IT system relating to HCC, including clinical decision support and research needs; (3) determine how a clinical liver cancer center can contribute; and, (4) examine the enhancements and impac...

Guest editor Thomas Penzel has assembled an expert team of authors on the topic of Technology to Assess Sleep. Article topics include: Sleep Apps using new sensor technologies; Sleep Apps to assess sleep quality; Pulse wave analysis; Peripheral arterial tone to assess sleep disordered breathing; Pulse transit time to assess cardiovascular function; A computer model of sleep and breathing regulation; Upper airway imaging; Quantifying leg movement disorders; Multi center sleep studies; Cardi...

Artificial intelligence has been utilized to automate and improve various aspects of medical science. For radiotherapy treatment planning, many algorithms have been developed to better support planners. The book provides applications of artificial intelligence (AI) in radiation therapy according to the clinical radiotherapy workflow. An introductory section explains the necessity of AI regarding accuracy and efficiency in clinical settings followed by a basic learning method and introducti...