Biomedical Image Synthesis and Simulation: Methods and Applications

Biomedical Image Synthesis and Simulation: Methods and Applications provides an overview of image-based simulation and synthesis methods used in medical and biomedical imaging, with examples and perspectives on validation, uncertainty quantification, and future research directions.

Format: Paperback / softback
Length: 674 pages
Publication date: 04 June 2022
Publisher: Elsevier Science Publishing Co Inc

Biomedical Image Synthesis and Simulation: Methods and Applications delves into the realm of image-based simulation and synthesis, serving as a comprehensive guide for medical and biomedical imaging. In the first part, the book introduces and elucidates the diverse simulation and synthesis methods that have emerged over the past two decades, ranging from parametric to deep generative models. These methods are thoroughly described, highlighting their development and successful applications in various fields. The second part showcases real-world examples where these techniques have been applied with remarkable outcomes, providing valuable insights into their practicalusages. Together, these two parts form a comprehensive resource that offers readers a deep understanding of the technical foundations of image synthesis and its applications in the specialized domains of medical and biomedical imaging. The book concludes with insightful perspectives on best practices for validating image synthesis approaches, the pivotal role of uncertainty quantification in medical image synthesis, and emerging research directions that hold great potential for the future. This text is an invaluable resource for researchers, practitioners, and students interested in advancing the field of biomedical image synthesis and simulation.

Biomedical Image Synthesis and Simulation: Methods and Applications presents the fundamental concepts and applications in image-based simulation and synthesis, which are extensively utilized in medical and biomedical imaging.

The book begins by introducing and describing the simulation and synthesis methods that have been developed and successfully applied within the past twenty years, encompassing a wide range of techniques, from parametric to deep generative models.

The first part of the book provides a comprehensive overview of these methods, highlighting their theoretical foundations, algorithms, and practical applications. It delves into the intricacies of generating realistic images from various data sources, such as medical scans, and explores the role of these methods in medical diagnosis, treatment planning, and simulation.

In the second part, the book showcases successful applications of these methods in various medical and biomedical fields. It presents case studies and examples that illustrate how image synthesis techniques have been used to improve patient care, enhance research outcomes, and facilitate medical training. The applications cover a wide range of domains, including anatomy, pathology, radiology, and clinical imaging.

By combining both parts, the book offers readers a comprehensive understanding of the technical background of image synthesis and its practical applications in the fields of medical and biomedical imaging. It provides a solid foundation for researchers, practitioners, and students interested in advancing the state-of-the-art in this rapidly evolving field.

The book concludes with insightful perspectives on best practices to adopt when validating image synthesis approaches, the crucial role that uncertainty quantification plays in medical image synthesis, and emerging research directions that should be worth exploring in the future.

This text is an invaluable resource for researchers, practitioners, and students interested in advancing the field of biomedical image synthesis and simulation. It offers a comprehensive and up-to-date overview of the latest techniques, applications, and challenges, enabling them to make informed decisions and contribute to the development of innovative solutions in healthcare.

Weight: 450g
Dimension: 235 x 191 (mm)
ISBN-13: 9780128243497