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Magnetic Resonance Imaging in Movement Disorders is the first book to focus in detail on MRI in a range of movement disorders. Since MRI was first employed in imaging Parkinson's disease, the number of imaging techniques and their application in diagnosis and management has extended widely. The book shows various imaging strategies ranging from functional, structural and chemical methods as they relate to both motor and non-motor aspects of Parkinson's disease and other conditions such as Huntington's disease and dystonia. Chapters on MRI in surgery and using MRI as a potential outcome measure in clinical trials show the clinical relevance of methods. Novel methods including DTI, tractography and resting case studies are described in detail. The book also summarises the relevance of fMRI to various aspects of movement disorders. Magnetic Resonance Imaging in Movement Disorders is essential reading for neurologists, radiologists and movement disorder specialists.
The three-volume set LNCS 8673, 8674, and 8675 constitutes the refereed proceedings of the 17th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2014, held in Boston, MA, USA, in September 2014. Based on rigorous peer reviews, the program committee carefully selected 253 revised papers from 862 submissions for presentation in three volumes. The 53 papers included in the third volume have been organized in the following topical sections: shape and population analysis; brain; diffusion MRI; and machine learning.
The three-volume set LNCS 8149, 8150, and 8151 constitutes the refereed proceedings of the 16th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2013, held in Nagoya, Japan, in September 2013. Based on rigorous peer reviews, the program committee carefully selected 262 revised papers from 789 submissions for presentation in three volumes. The 95 papers included in the first volume have been organized in the following topical sections: physiological modeling and computer-assisted intervention; imaging, reconstruction, and enhancement; registration; machine learning, statistical modeling, and atlases; computer-aided diagnosis and imaging biomarkers; intraoperative guidance and robotics; microscope, optical imaging, and histology; cardiology, vasculatures and tubular structures; brain imaging and basic techniques; diffusion MRI; and brain segmentation and atlases.
This volume of International Review of Neurobiology brings together cutting-edge research on advances in the neurochemistry and neuropharmacology of Tourette syndrome. It reviews current knowledge and understanding, provides a starting point for researchers and practitioners entering the field, and includes important topics regards tics, neurotransmitters, pharmacology and emerging treatments. - This volume of brings together research on tourettes synrdrome. It reviews current knowledge and understanding on the neurochemistry and neuropharmacology of tourettes syndrome
This book constitutes the proceedings of the 24th International Conference on Information Processing in Medical Imaging, IPMI 2015, held at the Sabhal Mor Ostaig College on the Isle of Skye, Scotland, UK, in June/July 2015. The 22 full papers and 41 poster papers presented in this volume were carefully reviewed and selected from 195 submissions. They were organized in topical sections named: probabilistic graphical models; MRI reconstruction; clustering; statistical methods; longitudinal analysis; microstructure imaging; shape analysis; multi-atlas fusion; fast image registration; deformation models; and the poster session.
This eBook is a collection of articles from a Frontiers Research Topic. Frontiers Research Topics are very popular trademarks of the Frontiers Journals Series: they are collections of at least ten articles, all centered on a particular subject. With their unique mix of varied contributions from Original Research to Review Articles, Frontiers Research Topics unify the most influential researchers, the latest key findings and historical advances in a hot research area! Find out more on how to host your own Frontiers Research Topic or contribute to one as an author by contacting the Frontiers Editorial Office: frontiersin.org/about/contact.
This upper level textbook provides a coherent introduction to the economic implications of individual and population ageing. Placing economic considerations into a wider social sciences context, this is ideal reading not only for advanced undergraduate and masters students in health economics and economics of ageing, but policy makers, professionals and practitioners in gerontology, sociology, health-related sciences, and social care. This volume introduces topics in the economics of happiness, quality of life, and well-being in later life. It also covers questions of inequality and poverty, intergenerational economics, and housing. Other areas described in this book include behavioural economics, political economy, and consumption in ageing societies.
Over the past 15 years, there has been a growing need in the medical image computing community for principled methods to process nonlinear geometric data. Riemannian geometry has emerged as one of the most powerful mathematical and computational frameworks for analyzing such data. Riemannian Geometric Statistics in Medical Image Analysis is a complete reference on statistics on Riemannian manifolds and more general nonlinear spaces with applications in medical image analysis. It provides an introduction to the core methodology followed by a presentation of state-of-the-art methods. Beyond medical image computing, the methods described in this book may also apply to other domains such as sign...
This book addresses a fundamental question about the nature of behavior: how does the brain process reward and makes decisions when facing multiple options? The book presents the most recent and compelling lesion, neuroimaging, electrophysiological and computational studies, in combination with hormonal and genetic studies, which have led to a clearer understanding of neural mechanisms behind reward and decision making. The neural bases of reward and decision making processes are of great interest to scientists because of the fundamental role of reward in a number of behavioral processes (such as motivation, learning and cognition) and because of their theoretical and clinical implications f...