Radiomics and Radiogenomics

Radiomics and Radiogenomics

Author: Ruijiang Li

Publisher: CRC Press

Published: 2019-07-09

Total Pages: 420

ISBN-13: 1351208268

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Radiomics and Radiogenomics: Technical Basis and Clinical Applications provides a first summary of the overlapping fields of radiomics and radiogenomics, showcasing how they are being used to evaluate disease characteristics and correlate with treatment response and patient prognosis. It explains the fundamental principles, technical bases, and clinical applications with a focus on oncology. The book’s expert authors present computational approaches for extracting imaging features that help to detect and characterize disease tissues for improving diagnosis, prognosis, and evaluation of therapy response. This book is intended for audiences including imaging scientists, medical physicists, as well as medical professionals and specialists such as diagnostic radiologists, radiation oncologists, and medical oncologists. Features Provides a first complete overview of the technical underpinnings and clinical applications of radiomics and radiogenomics Shows how they are improving diagnostic and prognostic decisions with greater efficacy Discusses the image informatics, quantitative imaging, feature extraction, predictive modeling, software tools, and other key areas Covers applications in oncology and beyond, covering all major disease sites in separate chapters Includes an introduction to basic principles and discussion of emerging research directions with a roadmap to clinical translation


Radiomics and Radiogenomics in Neuro-oncology

Radiomics and Radiogenomics in Neuro-oncology

Author: Hassan Mohy-ud-Din

Publisher: Springer Nature

Published: 2020-02-24

Total Pages: 100

ISBN-13: 3030401243

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This book constitutes the proceedings of the First International Workshop on Radiomics and Radiogenomics in Neuro-oncology, RNO-AI 2019, which was held in conjunction with MICCAI in Shenzhen, China, in October 2019. The 10 full papers presented in this volume were carefully reviewed and selected from 15 submissions. They deal with the development of tools that can automate the analysis and synthesis of neuro-oncologic imaging.


Big Data in Radiation Oncology

Big Data in Radiation Oncology

Author: Jun Deng

Publisher: CRC Press

Published: 2019-03-07

Total Pages: 323

ISBN-13: 1351801112

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Big Data in Radiation Oncology gives readers an in-depth look into how big data is having an impact on the clinical care of cancer patients. While basic principles and key analytical and processing techniques are introduced in the early chapters, the rest of the book turns to clinical applications, in particular for cancer registries, informatics, radiomics, radiogenomics, patient safety and quality of care, patient-reported outcomes, comparative effectiveness, treatment planning, and clinical decision-making. More features of the book are: Offers the first focused treatment of the role of big data in the clinic and its impact on radiation therapy. Covers applications in cancer registry, radiomics, patient safety, quality of care, treatment planning, decision making, and other key areas. Discusses the fundamental principles and techniques for processing and analysis of big data. Address the use of big data in cancer prevention, detection, prognosis, and management. Provides practical guidance on implementation for clinicians and other stakeholders. Dr. Jun Deng is a professor at the Department of Therapeutic Radiology of Yale University School of Medicine and an ABR board certified medical physicist at Yale-New Haven Hospital. He has received numerous honors and awards such as Fellow of Institute of Physics in 2004, AAPM Medical Physics Travel Grant in 2008, ASTRO IGRT Symposium Travel Grant in 2009, AAPM-IPEM Medical Physics Travel Grant in 2011, and Fellow of AAPM in 2013. Lei Xing, Ph.D., is the Jacob Haimson Professor of Medical Physics and Director of Medical Physics Division of Radiation Oncology Department at Stanford University. His research has been focused on inverse treatment planning, tomographic image reconstruction, CT, optical and PET imaging instrumentations, image guided interventions, nanomedicine, and applications of molecular imaging in radiation oncology. Dr. Xing is on the editorial boards of a number of journals in radiation physics and medical imaging, and is recipient of numerous awards, including the American Cancer Society Research Scholar Award, The Whitaker Foundation Grant Award, and a Max Planck Institute Fellowship.


Multidisciplinary Computational Anatomy

Multidisciplinary Computational Anatomy

Author: Makoto Hashizume

Publisher: Springer Nature

Published: 2021-11-30

Total Pages: 370

ISBN-13: 9811643253

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This volume thoroughly describes the fundamentals of a new multidisciplinary field of study that aims to deepen our understanding of the human body by combining medical image processing, mathematical analysis, and artificial intelligence. Multidisciplinary Computational Anatomy (MCA) offers an advanced diagnosis and therapeutic navigation system to help detect or predict human health problems from the micro-level to macro-level using a four-dimensional, dynamic approach to human anatomy: space, time, function, and pathology. Applying this dynamic and “living” approach in the clinical setting will promote better planning for – and more accurate, effective, and safe implementation of – medical management. Multidisciplinary Computational Anatomy will appeal not only to clinicians but also to a wide readership in various scientific fields such as basic science, engineering, image processing, and biomedical engineering. All chapters were written by respected specialists and feature abundant color illustrations. Moreover, the findings presented here share new insights into unresolved issues in the diagnosis and treatment of disease, and into the healthy human body.


Image-Guided and Adaptive Radiation Therapy

Image-Guided and Adaptive Radiation Therapy

Author: Robert D. Timmerman

Publisher: Lippincott Williams & Wilkins

Published: 2012-10-09

Total Pages: 384

ISBN-13: 1469801876

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This book provides detailed, state-of-the-art information and guidelines on the latest developments, innovations, and clinical procedures in image-guided and adaptive radiation therapy. The first section discusses key methodological and technological issues in image-guided and adaptive radiation therapy, including use of implanted fiducial markers, management of respiratory motion, image-guided stereotactic radiosurgery and stereotactic body radiation therapy, three-dimensional conformal brachytherapy, target definition and localization, and PET/CT and biologically conformal radiation therapy. The second section provides practical clinical information on image-guided adaptive radiation therapy for cancers at all common anatomic sites and for pediatric cancers. The third section offers practical guidelines for establishing an effective image-guided adaptive radiation therapy program.


Radiomics and Its Clinical Application

Radiomics and Its Clinical Application

Author: Jie Tian

Publisher: Academic Press

Published: 2021-06-03

Total Pages: 302

ISBN-13: 0128181028

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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 diagnosis, the therapeutic effect, and prognostic evaluation, which make radiomics a powerful tool in the clinical setting. This book is a very useful resource for scientists and computer engineers in machine learning and medical image analysis, scientists focusing on antineoplastic drugs, and radiologists, pathologists, oncologists, as well as surgeons wanting to understand radiomics and its potential in clinical practice. - An introduction to the concepts of radiomics - In-depth presentation of the core technologies and methods - Summary of current radiomics research, perspective on the future of radiomics and the challenges ahead - An introduction to several platforms that are planned to be built: cooperation, data sharing, software, and application platforms


Advances in Biology and Treatment of Glioblastoma

Advances in Biology and Treatment of Glioblastoma

Author: Kumaravel Somasundaram

Publisher: Springer

Published: 2017-06-29

Total Pages: 275

ISBN-13: 3319568205

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This volume covers the most important areas of glioblastoma – surgical resection, molecular pathology, targeted therapies, cancer stem cells, the role of DNA methylation, targeted sequencing for personalized therapy, animal models and advances in pediatric glioblastoma. Chapter authors are junior and senior investigators, who are well established in their particular areas and include neurosurgeons, neuropathologists, neurooncologists and basic scientists.


Imaging in Oncology

Imaging in Oncology

Author: Janet Husband

Publisher: CRC Press

Published: 2016-04-19

Total Pages: 1521

ISBN-13: 1498716512

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Building on the foundation laid down by the first edition, the 1998 winner of the Royal Society's award for the Multi-author Textbook of the Year, Imaging in Oncology, Second Edition presents an extensively referenced, evidence-based analysis of the role of imaging in planning treatment. Emphasizing image interpretation for tumor staging and follow


Machine Learning in Radiation Oncology

Machine Learning in Radiation Oncology

Author: Issam El Naqa

Publisher: Springer

Published: 2015-06-19

Total Pages: 336

ISBN-13: 3319183052

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​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.


Twin and Family Studies of Epigenetics

Twin and Family Studies of Epigenetics

Author: Shuai Li

Publisher: Academic Press

Published: 2021-08-19

Total Pages: 376

ISBN-13: 0128209526

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Twin and Family Studies of Epigenetics, Volume 27, the latest release in the Translational Epigenetics series, gathers expert opinions on epigenetic twin and family study research methods, recent findings across various disease areas, and future directions. The book provides in-depth coverage of epigenetics fundamentals, twin and family epigenetic study design, and the broader role of epigenetics in answering questions on the developmental origins of health and disease. Throughout the volume, twin and family studies are employed to examine causes of epigenetic variation, the relationship between epigenetic modifications and mental illness, cancers, cardiovascular disease, diabetes, obesity, high blood pressure, and more. Emerging research methods applied in twin and family studies discussed include imaging epigenetics, exposure-specific DNA methylation changes, and unravelling time trends in epigenetic effects. - Offers a practical, interdisciplinary approach across epigenetics, epidemiology and various disease specialties - Applies epigenetic twin and family studies to determine the relationship between epigenetics and mental illness, cancers, cardiovascular disease, diabetes, obesity and high blood pressure, among other diseases and disorders - Features chapter contributions from a wide range of international researchers in the field