Imaging

This up-to-date and comprehensive book on imaging of the foot and ankle provides a detailed description of the techniques and imaging findings relevant to this small region of complex anatomy. This book is an entirely revised second edition of the ‘Imaging of the Foot & Ankle’ published in 2003. It offers an updated comprehensive review of imaging and pathologies of the foot and ankle. The various techniques and procedures employed when imaging the foot and ankle are discussed in detail in the book. Individual chapters are devoted to radiography, arthrography and computed tomography and magnetic resonance imaging, ultrasonography, and intra-articular injections. The second part of the book documents applying these techniques to the diverse clinical problems and diseases encountered in this anatomical region. Among the many topics addressed are congenital and developmental disorders, impingement, ankle pain (medial, lateral, posterior, and anterior), heel pain, metatarsalgia (big toe and lesser), stress fractures, postoperative imaging, and tumours and tumour-like lesions. Each chapter is written by an acknowledged expert in the field, and a wealth of illustrative material is included. This book will be of great value to musculoskeletal and general radiologists and orthopedic surgeons.

This book constitutes the proceedings of the 10th International Workshop on Machine Learning in Medical Imaging, MLMI 2019, held in conjunction with MICCAI 2019, in Shenzhen, China, in October 2019.
The 78 papers presented in this volume were carefully reviewed and selected from 158 submissions. They focus on major trends and challenges in the area, aiming to identify new-cutting-edge techniques and their uses in medical imaging. Topics dealt with are: deep learning, generative adversarial learning, ensemble learning, sparse learning, multi-task learning, multi-view learning, manifold learning, and reinforcement learning, with their applications to medical image analysis, computer-aided detection and diagnosis, multi-modality fusion, image reconstruction, image retrieval, cellular image analysis, molecular imaging, digital pathology, etc.

Imaging and analysis are widely involved in various research fields, including biomedical applications, medical imaging and diagnosis, computer vision, autonomous driving, and robot controls. Imaging and analysis are now facing big changes regarding intelligence, due to the breakthroughs of artificial intelligence techniques, including deep learning.
Many difficulties in image generation, reconstruction, de-noising skills, artifact removal, segmentation, detection, and control tasks are being overcome with the help of advanced artificial intelligence approaches.

This atlas illustrates the characteristics of imaging after surgical spine treatment. The previous edition has been thoroughly updated and new surgical treatment options are presented. Furthermore, all clinical cases feature new images with the new sequences available from the manufacturers of Magnetic Resonance scanners.