Medical Image Synthesis : Methods and Clinical Applications

著者名：Yang, Xiaofeng (EDT)

CRC Press（2024/02/06発売）

• 言語：ENG
• ISBN：9781032133881
• eISBN：9781000900798

Description

Image synthesis across and within medical imaging modalities 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.

First, various traditional non-learning-based, traditional machine-learning-based, and recent deep-learning-based medical image synthesis methods are reviewed. Second, specific applications of different inter- and intra-modality image synthesis tasks and of synthetic image-aided segmentation and registration are introduced and summarized, listing and highlighting the proposed methods, study designs, and reported performances with the related clinical applications of representative studies. Third, the clinical usages of medical image synthesis, such as treatment planning and image-guided adaptive radiotherapy, are discussed. Last, the limitations and current challenges of various medical synthesis applications are explored, along with future trends and potential solutions to solve these difficulties.

The benefits of medical image synthesis have sparked growing interest in a number of advanced clinical applications, such as magnetic resonance imaging (MRI)-only radiation therapy treatment planning and positron emission tomography (PET)/MRI scanning. This book will be a comprehensive and exciting resource for undergraduates, graduates, researchers, and practitioners.

Table of Contents

Introduction

Part 1: Methods and Principles

1. Non-Deep-Learning-Based Medical Image Synthesis Methods 
Jing Wang, Xiaofeng Yang
2. Deep Learning-Based Medical Image Synthesis Methods 
Yang Lei, Tonghe Wang, Xiaofeng Yang

Part 2: Applications of Inter-Modality Image Synthesis 

3. MRI-Based Image Synthesis 
Tonghe Wang, Xiaofeng Yang
4. CBCT/CT-Based Image Synthesis 
Hao Zhang
5. CT-Based DVF/Ventilation/Perfusion Imaging 
Ren Ge, Yu-Hua Huang, Jiarui Zhu, Wen Li, Jing Cai
6. Imaged-Based Dose Planning Prediction 
Dan Nguyen

Part 3: Applications of Intra-Modality Image Synthesis 

7. Medical Imaging Denoising
Yao Xiao, Kai Huang, Hely Lin, Ruogu Fang
8. Attenuation Correction for Quantitative PET/MR Imaging 
Se-In Jang, Kuang Gong
9. High-Resolution Medical Image Estimation using Deep Learning 
Xianjin Dai
10. 2D-3D Transformation for 3D Volumetric Imaging 
Zhen Tian
11. Multimodality MRI Synthesis 
Liangqiong Qu, Yongqin Zhang, Zhiming Cheng, Shuang Zeng, Xiaodan Zhang, Yuyin Zhou
12. Multi-Energy CT Transformation and Virtual Monoenergetic Imaging 
Wei Zhao
13. Metal Artifact Reduction 
Zhicheng Zhang, Lingting Zhu, Lei Xing, Lequan Yu

Part 4: Other Applications of Medical Image Synthesis 

14. Synthetic Image-Aided Segmentation 
Yang Lei, Richard L.J. Qiu and Xiaofeng Yang
15. Synthetic Image-Aided Registration 
Yabo Fu, Xiaofeng Yang
16. CT Image Standardization Using Deep Image Synthesis Models 
Md Selim, Jie Zhang, Jin Chen

Part 5: Clinic Usage of Medical Image Synthesis 

17. Image-Guided Adaptive Radiotherapy 
Yang Sheng, Jackie Wu, Taoran Li

Part 6: Perspectives 

18. Validation and Evaluation Metrics 
Jing Wang, Xiaofeng Yang
19. Limitation and Future Trends
Xiaofeng Yang