Medical Image Synthesis: Methods and Clinical Applications

Medical image synthesis 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. It reviews traditional and deep-learning-based methods, discusses specific applications, and explores clinical usages. The benefits of medical image synthesis have sparked interest in advanced clinical applications.

Format: Paperback / softback
Length: 308 pages
Publication date: 06 February 2024
Publisher: Taylor & Francis Ltd

Medical image synthesis across and within medical imaging modalities is a dynamic and rapidly evolving field with widespread applications in radiology and radiation oncology. This comprehensive book delves into the principles and methodologies of medical image synthesis, encompassing both traditional and cutting-edge deep learning techniques.

In the first chapter, a comprehensive review of various traditional non-learning-based, traditional machine-learning-based, and recent deep learning-based medical image synthesis methods is presented. This includes techniques such as volume rendering, surface rendering, and image registration, which are essential for generating realistic and accurate medical images.

The second chapter focuses on specific applications of inter- and intra-modality image synthesis tasks. It introduces and summarizes proposed methods, study designs, and reported performances with related clinical applications of representative studies. This chapter highlights the importance of medical image synthesis in various fields, such as radiation therapy, pathology, and medical education.

The third chapter explores the clinicalusages of medical image synthesis, including treatment planning and image-guided adaptive radiotherapy. It discusses how synthetic images can be used to improve the accuracy and efficiency of medical procedures, enabling healthcare professionals to make informed decisions and deliver personalized care.

The fourth chapter examines the limitations and current challenges associated with various medical synthesis applications. It explores the challenges related to data acquisition, image quality, and the integration of synthetic images with clinical workflows. Additionally, the chapter discusses future trends and potential solutions to overcome these difficulties, paving the way for further advancements in the field.

The benefits of medical image synthesis have led to an increasing interest in advanced clinical applications, such as MRI-only radiation therapy treatment planning and PET/MRI scanning. This book serves as a valuable resource for undergraduates, graduates, researchers, and practitioners alike. It provides a comprehensive and up-to-date understanding of medical image synthesis, enabling readers to apply these techniques to their research and clinical practice.

In conclusion, medical image synthesis is a rapidly advancing field with significant implications for radiology and radiation oncology. This book offers a comprehensive and exciting exploration of the principles, methodologies, and applications of medical image synthesis, providing a valuable resource for researchers, practitioners, and students alike.

Weight: 692g
Dimension: 178 x 254 x 18 (mm)
ISBN-13: 9781032152844