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 primary coordinate system. The Talairach coordinate system is used as the secondary coordinate system. Based on magnetic resonance imaging and diffusion tensor imaging, the book offers a full segmentation of 220 white-matter and gray-matter structures with boundaries. - Visualization of brain white matter anatomy via 3D diffusion tensor imaging (DTI) contrasts and enhances relationship of anatomy to function - Full segmentation of 170+ brain regions more clearly defines structure boundaries than previous point-and-annotate anatomical labeling, and connectivity is mapped in a way not provided by traditional atlases

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

If you have ever needed to visualize a brain fiber tract or axon pathway, we have the app for you! With NeuroApps: MRI Atlas of Human White Matter, the user will be able to find, visualize, and learn to identify the major pathways through the brain and their proximity to key neuroanatomical structures. The app provides separate layers for color-coded annotations, and allows overlay of any annotations on both MRI and DTI. The app additionally allows the user to scroll through the brain in sequence to follow a tract from beginning to end. Labels identifying brain structures can be turned on and off as a learning tool, and the app allows the user to view one, two, or all three orientations at the same time between coronal, horizontal, and sagittal sections. Use it in conjunction with the print atlas or by itself as a tool for further study-this app is the next generation in brain visualization! Format allows viewer to compare coronal, horizontal, and sagittal sections in one view Overlays of brain slices with orientation maps Includes both MRI and DTI images and allows the user to switch between MRI and DTI view for any location in the brain Labels of brain structures can be turned on and off Follow a tract sequentially through the brain 4-color sharper images than published in the original book Links out to ScienceDirect, PubMed, and BrainNavigator

One of the major challenges of modern neuroscience is to define the complex pattern of neural connections that underlie cognition and behaviour. This atlas capitalises on novel diffusion MRI tractography methods to provide a comprehensive overview of connections derived from virtual in vivo tractography dissections of the human brain.

This atlas instills a solid knowledge of anatomy by correlating thin-section brain anatomy with corresponding clinical magnetic resonance images in axial, coronal, and sagittal planes. The authors correlate advanced neuromelanin imaging, susceptibility-weighted imaging, and diffusion tensor tractography with clinical 3 and 4 T MRI. Each brain stem region is then analyzed with 9.4 T MRI to show the anatomy of the medulla, pons, midbrain, and portions of the diencephalonin with an in-plane resolution comparable to myelin- and Nissl-stained light microscopy. The book’s carefully organized diagrams and images teach with a minimum of text.

A unique review of the essential topographical anatomy of the brain from an MRI perspective, correlating high-quality anatomical plates with high-resolution MRI images. The book includes a historical review of brain mapping and an analysis of the essential reference planes used. It provides a detailed review of the sulcal and the gyral anatomy of the human cortex, guiding readers through an interpretation of the individual brain atlas provided by high-resolution MRI. The relationship between brain structure and function is approached in a topographical fashion with an analysis of the necessary imaging methodology and displayed anatomy. An extensive coronal atlas rounds off the book.

Recent advances in MRI, especially those in the area of ultra high field (UHF) MRI, have attracted significant attention in the field of brain imaging for neuroscience research, as well as for clinical applications. In 7.0 Tesla MRI Brain Atlas: In Vivo Atlas with Cryomacrotome Correlation, Zang-Hee Cho and his colleagues at the Neuroscience Research Institute, Gachon University of Medicine and Science set new standards in neuro-anatomy. This unprecedented atlas presents the future of MR imaging of the brain. Taken at 7.0 Tesla, the images are of a live subject with correlating cryomacrotome photographs. Exquisitely produced in an oversized format to allow careful examination of the brain in real scale, each image is precisely annotated and detailed. The images in the Atlas reveal a wealth of details of the main stem and midbrain structures that were once thought impossible to visualize in-vivo. Ground breaking and thought provoking, 7.0 Tesla MRI Brain Atlas is sure to provide answers and inspiration for further studies, and is a valuable resource for medical libraries, neuroradiologists and neuroscientists.

Quantitative Magnetic Resonance Imaging is a 'go-to' reference for methods and applications of quantitative magnetic resonance imaging, with specific sections on Relaxometry, Perfusion, and Diffusion. Each section will start with an explanation of the basic techniques for mapping the tissue property in question, including a description of the challenges that arise when using these basic approaches. For properties which can be measured in multiple ways, each of these basic methods will be described in separate chapters. Following the basics, a chapter in each section presents more advanced and recently proposed techniques for quantitative tissue property mapping, with a concluding chapter on clinical applications. The reader will learn: - The basic physics behind tissue property mapping - How to implement basic pulse sequences for the quantitative measurement of tissue properties - The strengths and limitations to the basic and more rapid methods for mapping the magnetic relaxation properties T1, T2, and T2* - The pros and cons for different approaches to mapping perfusion - The methods of Diffusion-weighted imaging and how this approach can be used to generate diffusion tensor - maps and more complex representations of diffusion - How flow, magneto-electric tissue property, fat fraction, exchange, elastography, and temperature mapping are performed - How fast imaging approaches including parallel imaging, compressed sensing, and Magnetic Resonance - Fingerprinting can be used to accelerate or improve tissue property mapping schemes - How tissue property mapping is used clinically in different organs - Structured to cater for MRI researchers and graduate students with a wide variety of backgrounds - Explains basic methods for quantitatively measuring tissue properties with MRI - including T1, T2, perfusion, diffusion, fat and iron fraction, elastography, flow, susceptibility - enabling the implementation of pulse sequences to perform measurements - Shows the limitations of the techniques and explains the challenges to the clinical adoption of these traditional methods, presenting the latest research in rapid quantitative imaging which has the possibility to tackle these challenges - Each section contains a chapter explaining the basics of novel ideas for quantitative mapping, such as compressed sensing and Magnetic Resonance Fingerprinting-based approaches

Work on the human brainstem has been impeded by the unavailability of a comprehensive diagrammatic and photographic atlas. In the authors' preliminary work on the morphology of the human brainstem (The Human Nervous System, 1990), Paxinos et al demonstrated that it is possible to use chemoarchitecture to establish a number of human homologs in structures known to exist in the rat, the most extensively studied species. Now, with the first detailed atlas on the human brainstem in more than forty years, the authors present an accurate, comprehensive, and convenient reference for students, researchers, and pathologists. Key Features * The first detailed atlas on the human brainstem in more than forty years * Delineated as accurately as The Rat Brain in Stereotaxic Coordinates, Second Edition (Paxinos/Watson, 1986), the most cited book in neuroscience * Based on a single brain from a 59-year-old male with no medical history of neurological or psychiatric illness * Represents all areas of the medulla, pons, and midbrain in the plane transverse to the longitudinal axis of the brainstem * Consists of 64 plates and 64 accompanying diagrams with an interplate distance of half a millimeter * The photographs are of Nissl and acetylcholinesterase (AChE) stained sections at alternate levels * Establishes systematically the human homologs to nuclei identified in the brainstem of the rat Reviewed by leading neuroanatomists * An accurate and convenient guide for students, researchers, and pathologists

This title is part of a two-volume set that constitute the refereed proceedings of the 10th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2007. Coverage in this second volume includes computer assisted intervention and robotics, visualization and interaction, neuroscience image computing, computational anatomy, innovative clinical and biological applications, general biological imaging computing, computational physiology.