Images And Intervention

Cottam explains the patterns of U.S. intervention in Latin America by focusing on the cognitive images that have dominated policy makers' world views, influenced the procession of information, and informed strategies and tactics. She employs a number of case studies of intervention and analyzes decision-making patterns from the early years of the cold war in Guatemala and Cuba to the post-cold-war policies in Panama and the war on drugs in Peru. Using two particular images-the enemy and the dependent-Cottam explores why U.S. policy makers have been predisposed to intervene in Latin America when they have perceived an enemy (the Soviet Union) interacting with a dependent (a Latin American country), and why these images led to perceptions that continued to dominate policy into the post-cold-war era.

Cottam explains the patterns of U.S. intervention in Latin America by focusing on the cognitive images that have dominated policy makers' world views, influenced the procession of information, and informed strategies and tactics. She employs a number of case studies of intervention and analyzes decision-making patterns from the early years of the cold war in Guatemala and Cuba to the post-cold-war policies in Panama and the war on drugs in Peru. Using two particular images-the enemy and the dependent-Cottam explores why U.S. policy makers have been predisposed to intervene in Latin America when they have perceived an enemy (the Soviet Union) interacting with a dependent (a Latin American country), and why these images led to perceptions that continued to dominate policy into the post-cold-war era.

This book provides background information and step-by-step procedures for a range of image-guided interventional procedures relating to the treatment of spine and back pain. Each chapter discusses a specific procedure, covering the pertinent anatomy, selection criteria, contraindications, equipment, medications, instructions, potential complications, and aftercare. Case studies, CPT codes, references, and a neurosurgeon's commentators are also provided. 625 color illustrations support the narrative instructions. Annotation copyrighted by Book News, Inc., Portland, OR.

Handbook of Medical Image Computing and Computer Assisted Intervention presents important advanced methods and state-of-the art research in medical image computing and computer assisted intervention, providing a comprehensive reference on current technical approaches and solutions, while also offering proven algorithms for a variety of essential medical imaging applications. This book is written primarily for university researchers, graduate students and professional practitioners (assuming an elementary level of linear algebra, probability and statistics, and signal processing) working on medical image computing and computer assisted intervention. Presents the key research challenges in medical image computing and computer-assisted intervention Written by leading authorities of the Medical Image Computing and Computer Assisted Intervention (MICCAI) Society Contains state-of-the-art technical approaches to key challenges Demonstrates proven algorithms for a whole range of essential medical imaging applications Includes source codes for use in a plug-and-play manner Embraces future directions in the fields of medical image computing and computer-assisted intervention

This updated second edition of Acute Ischemic Stroke: Imaging and Intervention provides a comprehensive account of the state of the art in the diagnosis and treatment of acute ischemic stroke. The basic format of the first edition has been retained, with sections on fundamentals such as pathophysiology and causes, imaging techniques and interventions. However, each chapter has been revised to reflect the important recent progress in advanced neuroimaging and the use of interventional tools. In addition, a new chapter is included on the classification instruments for ischemic stroke and their use in predicting outcomes and therapeutic triage. All of the authors are internationally recognized experts and members of the interdisciplinary stroke team at the Massachusetts General Hospital and Harvard Medical School. The text is supported by numerous informative illustrations, and ease of reference is ensured through the inclusion of suitable tables. This book will serve as a unique source of up-to-date information for neurologists, emergency physicians, radiologists and other health care providers who care for the patient with acute ischemic stroke.

This book is a compendium of the ICCMIA 2018 proceedings, which provides an ideal reference for all medical imaging researchers and professionals to explore innovative methods and analyses on imaging technologies for better prospective patient care. This work serves as an exclusive source for new computer assisted clinical and medical developments in imaging diagnosis, intervention and analysis. It includes articles on computer assisted medical scanning techniques, computer-aided diagnosis, robotic surgery and imaging, imaging genomics, clinically-oriented imaging physics and informatics, augmented-reality medical visualization, imaging modalities, computerized radiology, oncology, and surgery. Moreover, information on non-medical imaging that has medical applications such as multi-photon microscopy and confocal, photoacoustic imaging, optical microendoscope, infra-red radiation, and other imaging modalities is also represented.

Comprehensive guide to vascular imaging and endovascular interventions. Covers diagnosis and treatment of numerous vascular disorders. Internationally recognised author team.

The three-volume set LNCS 9349, 9350, and 9351 constitutes the refereed proceedings of the 18th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2015, held in Munich, Germany, in October 2015. Based on rigorous peer reviews, the program committee carefully selected 263 revised papers from 810 submissions for presentation in three volumes. The papers have been organized in the following topical sections: quantitative image analysis I: segmentation and measurement; computer-aided diagnosis: machine learning; computer-aided diagnosis: automation; quantitative image analysis II: classification, detection, features, and morphology; advanced MRI: diffusion, fMRI, DCE; quantitative image analysis III: motion, deformation, development and degeneration; quantitative image analysis IV: microscopy, fluorescence and histological imagery; registration: method and advanced applications; reconstruction, image formation, advanced acquisition - computational imaging; modelling and simulation for diagnosis and interventional planning; computer-assisted and image-guided interventions.

In this issue of Radiologic Clinics, guest editor Dr. Vinil Shah brings his considerable expertise to the topic of Spine Imaging. Top experts in the field cover essentials of spinal tumor ablation; spinal CSF leak localization with dynamic CT myelography; endovascular treatment of CSF venous fistulas; imaging of discogenic and vertebrogenic pain; and more. Contains 14 relevant, practice-oriented topics including functional anatomy of the spinal cord; diffusion tensor imaging of the spinal cord: clinical applications; 3-D printing in treatment planning of spinal deformities and tumors; role of high-resolution MR imaging (MR neurography) in diagnosis and treatment of peripheral nerve disorders; practical artificial intelligence applications in spinal imaging; and more. Provides in-depth clinical reviews on spine imaging, offering actionable insights for clinical practice. Presents the latest information on this timely, focused topic under the leadership of experienced editors in the field. Authors synthesize and distill the latest research and practice guidelines to create clinically significant, topic-based reviews.

The four-volume set LNCS 11070, 11071, 11072, and 11073 constitutes the refereed proceedings of the 21st International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2018, held in Granada, Spain, in September 2018. The 373 revised full papers presented were carefully reviewed and selected from 1068 submissions in a double-blind review process. The papers have been organized in the following topical sections: Part I: Image Quality and Artefacts; Image Reconstruction Methods; Machine Learning in Medical Imaging; Statistical Analysis for Medical Imaging; Image Registration Methods. Part II: Optical and Histology Applications: Optical Imaging Applications; Histology Applications; Microscopy Applications; Optical Coherence Tomography and Other Optical Imaging Applications. Cardiac, Chest and Abdominal Applications: Cardiac Imaging Applications: Colorectal, Kidney and Liver Imaging Applications; Lung Imaging Applications; Breast Imaging Applications; Other Abdominal Applications. Part III: Diffusion Tensor Imaging and Functional MRI: Diffusion Tensor Imaging; Diffusion Weighted Imaging; Functional MRI; Human Connectome. Neuroimaging and Brain Segmentation Methods: Neuroimaging; Brain Segmentation Methods. Part IV: Computer Assisted Intervention: Image Guided Interventions and Surgery; Surgical Planning, Simulation and Work Flow Analysis; Visualization and Augmented Reality. Image Segmentation Methods: General Image Segmentation Methods, Measures and Applications; Multi-Organ Segmentation; Abdominal Segmentation Methods; Cardiac Segmentation Methods; Chest, Lung and Spine Segmentation; Other Segmentation Applications.