Mri

In this book, experts from premier institutions across the world with extensive experience in the field clearly and succinctly describe the current and anticipated uses of PET/MRI in oncology.

This unique text/reference presents a comprehensive review of methods for modeling signal and noise in magnetic resonance imaging (MRI), providing a systematic study, classifying and comparing the numerous and varied estimation and filtering techniques drawn from more than ten years of research in this area.

This book provides a comprehensive overview of how to use MRI for the imaging of lung disease. Special emphasis is placed on routine applications and the clinical impact of MRI in each setting. In addition, current technological developments are reviewed and information presented on dedicated applications of MRI in preclinical and translational research, clinical trials, and specialized institutions.

This book gathers papers presented at the Workshop on Computational Diffusion MRI, CDMRI 2020, held under the auspices of the International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), which took place virtually on October 8th, 2020, having originally been planned to take place in Lima, Peru.

This superbly illustrated book offers a comprehensive analysis of the diagnostic capabilities of CT and MRI in the skull base region with the aim of equipping readers with the knowledge required for accurate, timely diagnosis. The authors’ vast experience in the diagnosis of skull base lesions means that they are ideally placed to realize this goal, with the book’s contents being based on more than 10,000 histologically verified cases of frequent, uncommon, and rare diseases and disorders.

This book provides an introduction to the role of medical imaging in the diagnosis and management of rheumatologic diseases. It reviews basic radiographic findings of common and rare arthropathies while offering a focused and practical discussion of advanced imaging modalities such as CT, ultrasonography, and MRI.