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: Hardback
Length: 308 pages
Publication date: 06 February 2024
Publisher: Taylor & Francis Ltd

Medical image synthesis across and within various imaging modalities is a rapidly advancing field with significant 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. It provides a comprehensive review of various non-learning-based, traditional machine-learning-based, and recent deep learning-based medical image synthesis methods.

The book then explores specific applications of inter- and intra-modality image synthesis tasks, including synthetic image-aided segmentation and registration. It presents detailed methods, study designs, and reported performances from representative studies, highlighting their clinical applications in fields such as treatment planning and image-guided adaptive radiotherapy.

Furthermore, the book discusses the clinicalusages of medical image synthesis, emphasizing its role in treatment planning and image-guided adaptive radiotherapy. It explores the limitations and challenges faced in various medical synthesis applications and examines future trends and potential solutions to overcome these difficulties.

The significance of medical image synthesis extends beyond radiology and radiation oncology, with applications in magnetic resonance imaging (MRI)-only radiation therapy treatment planning and positron emission tomography (PET)/MRI scanning. This book serves as a valuable resource for undergraduates, graduates, researchers, and practitioners alike, offering a comprehensive and engaging exploration of this dynamic field.

Weight: 748g
Dimension: 254 x 178 (mm)
ISBN-13: 9781032133881