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MRI Atlas of Human White Matter
MRI Atlas of Human White Matter presents an atlas to the human brain on the basis of T 1-weighted imaging and diffusion tensor imaging. A general background on magnetic resonance imaging is provided, as well as the basics of diffusion tensor imaging. An overview of the principles and limitations in using this methodology in fiber tracking is included. This book describes the core white-matter structures, as well as the superficial white matter, the deep gray matter, and the cortex. It also presents a three-dimensional reconstruction and atlas of the brain white-matter tracts. The Montreal Neurological Institute coordinates, which are the most widely used, are adopted in this book as the prim...
Recent Advances and the Future Generation of Neuroinformatics Infrastructure
The huge volume of multi-modal neuroimaging data across different neuroscience communities has posed a daunting challenge to traditional methods of data sharing, data archiving, data processing and data analysis. Neuroinformatics plays a crucial role in creating advanced methodologies and tools for the handling of varied and heterogeneous datasets in order to better understand the structure and function of the brain. These tools and methodologies not only enhance data collection, analysis, integration, interpretation, modeling, and dissemination of data, but also promote data sharing and collaboration. This Neuroinformatics Research Topic aims to summarize the state-of-art of the current ach...
MRI of the Newborn, Part 2, An Issue of Magnetic Resonance Imaging Clinics
Vast experience has been gained over the past decade in safely transporting, monitoring, and imaging neonates, a highly vulnerable patient group. Technological advances in MRI hardware such as higher field strength systems, multi-channel coils, higher gradient performance, and MR compatible incubators with integrated antennae laid the ground for more detailed, higher resolution anatomical MR imaging. This issue provides separate reviews on the use of MR imaging in the evaluation of encephalopathy, postmortems, spinal dysraphia, and inflicted brain injury as well as neonatal neuro MR imaging and MR-guided cardiovascular interventions.
Clinical Perspectives on Primary Progressive Aphasia
Primary progressive aphasia is a type of dementia that progressively impairs language abilities (speaking, understanding, reading and writing) and may eventually affect other aspects of thinking, movement and/or personality. For the person with primary progressive aphasia, these problems have a profound effect on their ability to communicate, which in turn impacts their relationships, social networks and ability to participate in everyday activities that depend on communication. Recent understanding of primary progressive aphasia has grown enormously, however, and this book provides an up-to-date survey of research relevant to the clinical care of people with primary progressive aphasia. It ...
Handbook of Medical Image Computing and Computer Assisted Intervention
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
Bayesian Estimation and Inference in Computational Anatomy and Neuroimaging: Methods & Applications
Computational Anatomy (CA) is an emerging discipline aiming to understand anatomy by utilizing a comprehensive set of mathematical tools. CA focuses on providing precise statistical encodings of anatomy with direct application to a broad range of biological and medical settings. During the past two decades, there has been an ever-increasing pace in the development of neuroimaging techniques, delivering in vivo information on the anatomy and physiological signals of different human organs through a variety of imaging modalities such as MRI, x-ray, CT, and PET. These multi-modality medical images provide valuable data for accurate interpretation and estimation of various biological parameters ...
MRI Atlas of Human White Matter
The first edition of MRI Atlas of Human White Matter was then and remains the only atlas to provide detailed anatomy of human brain white matter. Knowledge of this anatomy via diffusion tensor imaging greatly enhances our understanding of brain function and neural connectivity. These advances promise to be particularly helpful in regard to neurological diseases, for example, distinguishing Alzheimer's from other types of dementia. Chapters in the second edition will cover an introduction and description of the methodology, the 3D anatomy of individual tracts, and a series of color-coded orient
