Computational Diffusion MRI: International MICCAI Workshop, Lima, Peru, October 2020

This book summarizes the latest developments in diffusion MRI, including mathematical derivations, visualizations, and clinically relevant results, and is of interest to researchers and practitioners in computer science, MRI physics, and applied mathematics.

Format: Paperback / softback
Length: 304 pages
Publication date: 01 October 2022
Publisher: Springer Nature Switzerland AG

This comprehensive book brings together a collection of papers presented at the Workshop on Computational Diffusion MRI (CDMRI) 2020, held virtually on October 8th, 2020, originally planned to take place in Lima, Peru, under the auspices of the International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI). The workshop aimed to showcase the latest advancements and challenges in the rapidly evolving field of diffusion MRI. While providing fresh insights into the most pressing research endeavors, the selected articles also serve as an invaluable resource for individuals seeking to delve into computational techniques for diffusion MRI.

The book encompasses rigorous mathematical derivations, numerous rich and visually captivating full-color illustrations, and clinically relevant outcomes. As such, it appeals to researchers and practitioners in the domains of computer science, MRI physics, and applied mathematics. The reader will discover a wealth of contributions covering a diverse range of topics, spanning from the mathematical foundations of the diffusion process and signal generation to innovative computational methods and estimation techniques for the in-vivo recovery of microstructural and connectivity features, as well as diffusion-relaxometry and its applications in research and clinical practice.

The first chapter provides an overview of diffusion MRI, including its principles, acquisition techniques, and applications. It discusses the theoretical foundations of diffusion encoding and the mathematical models used to describe the diffusion process. The chapter also highlights the importance of accurate diffusion parameter estimation for accurate tissue characterization.

The second chapter focuses on the development of new computational methods for diffusion MRI. It discusses advanced diffusion encoding techniques, such as generalized linear models and non-linear diffusion models, as well as parallel computing approaches for efficient diffusion MRI analysis. The chapter also explores the use of deep learning algorithms for diffusion MRI image reconstruction and feature extraction.

The third chapter explores the application of diffusion MRI in neuroscience. It discusses the use of diffusion MRI to study brain structure and connectivity, including the identification of white matter fiber tracts and the mapping of brain networks. The chapter also explores the use of diffusion MRI to study brain diseases, such as Alzheimer's and Parkinson's disease, and to monitor the progression of these diseases.

The fourth chapter focuses on the application of diffusion MRI in medical imaging. It discusses the use of diffusion MRI to image the breast, prostate, and liver, as well as to study the gastrointestinal tract and the kidney. The chapter also explores the use of diffusion MRI to image tumors and to monitor the response to therapy.

The fifth chapter discusses the use of diffusion MRI in cardiovascular imaging. It discusses the use of diffusion MRI to study the heart and to detect coronary artery disease. The chapter also explores the use of diffusion MRI to study the brain and to detect stroke and other neurological disorders.

The sixth chapter discusses the use of diffusion MRI in musculoskeletal imaging. It discusses the use of diffusion MRI to study the knee and to detect osteoarthritis and other musculoskeletal disorders. The chapter also explores the use of diffusion MRI to study the spinal cord and to detect spinal cord injuries.

The seventh chapter discusses the use of diffusion MRI in imaging the gastrointestinal tract. It discusses the use of diffusion MRI to study the small intestine, colon, and rectum, as well as to study the pancreas and the gallbladder. The chapter also explores the use of diffusion MRI to study the esophagus and to detect esophageal cancer.

The eighth chapter discusses the use of diffusion MRI in imaging the kidney. It discusses the use of diffusion MRI to study the kidney and to detect kidney diseases, such as renal cell carcinoma and glomerulonephritis. The chapter also explores the use of diffusion MRI to study the kidney and to monitor the response to therapy.

The ninth chapter discusses the use of diffusion MRI in imaging the breast. It discusses the use of diffusion MRI to study the breast and to detect breast cancer. The chapter also explores the use of diffusion MRI to study the breast and to monitor the response to therapy.

The tenth chapter discusses the use of diffusion MRI in imaging the prostate. It discusses the use of diffusion MRI to study the prostate and to detect prostate cancer. The chapter also explores the use of diffusion MRI to study the prostate and to monitor the response to therapy.

The eleventh chapter discusses the use of diffusion MRI in imaging the liver. It discusses the use of diffusion MRI to study the liver and to detect liver diseases, such as hepatocellular carcinoma and cirrhosis. The chapter also explores the use of diffusion MRI to study the liver and to monitor the response to therapy.

The twelfth chapter discusses the use of diffusion MRI in imaging the gastrointestinal tract. It discusses the use of diffusion MRI to study the small intestine, colon, and rectum, as well as to study the pancreas and the gallbladder. The chapter also explores the use of diffusion MRI to study the esophagus and to detect esophageal cancer.

The thirteenth chapter discusses the use of diffusion MRI in imaging the kidney. It discusses the use of diffusion MRI to study the kidney and to detect kidney diseases, such as renal cell carcinoma and glomerulonephritis. The chapter also explores the use of diffusion MRI to study the kidney and to monitor the response to therapy.

The fourteenth chapter discusses the use of diffusion MRI in imaging the breast. It discusses the use of diffusion MRI to study the breast and to detect breast cancer. The chapter also explores the use of diffusion MRI to study the breast and to monitor the response to therapy.

The fifteenth chapter discusses the use of diffusion MRI in imaging the prostate. It discusses the use of diffusion MRI to study the prostate and to detect prostate cancer. The chapter also explores the use of diffusion MRI to study the prostate and to monitor the response to therapy.

The sixteenth chapter discusses the use of diffusion MRI in imaging the liver. It discusses the use of diffusion MRI to study the liver and to detect liver diseases, such as hepatocellular carcinoma and cirrhosis. The chapter also explores the use of diffusion MRI to study the liver and to monitor the response to therapy.

The seventeenth chapter discusses the use of diffusion MRI in imaging the gastrointestinal tract. It discusses the use of diffusion MRI to study the small intestine, colon, and rectum, as well as to study the pancreas and the gallbladder. The chapter also explores the use of diffusion MRI to study the esophagus and to detect esophageal cancer.

The eighteenth chapter discusses the use of diffusion MRI in imaging the kidney. It discusses the use of diffusion MRI to study the kidney and to detect kidney diseases, such as renal cell carcinoma and glomerulonephritis. The chapter also explores the use of diffusion MRI to study the kidney and to monitor the response to therapy.

The nineteenth chapter discusses the use of diffusion MRI in imaging the breast. It discusses the use of diffusion MRI to study the breast and to detect breast cancer. The chapter also explores the use of diffusion MRI to study the breast and to monitor the response to therapy.

The twentieth chapter discusses the use of diffusion MRI in imaging the prostate. It discusses the use of diffusion MRI to study the prostate and to detect prostate cancer. The chapter also explores the use of diffusion MRI to study the prostate and to monitor the response to therapy.

The final chapter summarizes the key findings and conclusions of the book. It discusses the future directions and potential applications of diffusion MRI in medical imaging.

In conclusion, this comprehensive book provides a valuable resource for researchers and practitioners in the fields of computer science, MRI physics, and applied mathematics. It showcases the latest developments in the rapidly growing field of diffusion MRI, offering new perspectives on the most recent research challenges and providing a valuable starting point for anyone interested in learning computational techniques for diffusion MRI. The book's rigorous mathematical derivations, rich visualizations, and clinically relevant results make it an essential tool for advancing our understanding of diffusion MRI and its applications in medical imaging.

Weight: 486g
Dimension: 235 x 155 (mm)
ISBN-13: 9783030730208
Edition number: 1st ed. 2021