This fifth edition of the most accessible introduction to MRI principles and applications from renowned teachers in the field provides an understandable yet comprehensive update. Accessible introductory guide from renowned teachers in the field Provides a concise yet thorough introduction for MRI focusing on fundamental physics, pulse sequences, and clinical applications without presenting advanced math Takes a practical approach, including up-to-date protocols, and supports technical concepts with thorough explanations and illustrations Highlights sections that are directly relevant to radiology board exams Presents new information on the latest scan techniques and applications including 3 Tesla whole body scanners, safety issues, and the nephrotoxic effects of gadolinium-based contrast media

To understand the world around us, as well as ourselves, we need to measure many things, many variables, many properties of the systems and processes we investigate. Hence, data collected in science, technology, and almost everywhere else are multivariate, a data table with multiple variables measured on multiple observations (cases, samples, items, process time points, experiments). This book describes a remarkably simple minimalistic and practical approach to the analysis of data tables (multivariate data). The approach is based on projection methods, which are PCA (principal components analysis), and PLS (projection to latent structures) and the book shows how this works in science and technology for a wide variety of applications. In particular, it is shown how the great information content in well collected multivariate data can be expressed in terms of simple but illuminating plots, facilitating the understanding and interpretation of the data. The projection approach applies to a variety of data-analytical objectives, i.e., (i) summarizing and visualizing a data set, (ii) multivariate classification and discriminant analysis, and (iii) finding quantitative relationships among the variables. This works with any shape of data table, with many or few variables (columns), many or few observations (rows), and complete or incomplete data tables (missing data). In particular, projections handle data matrices with more variables than observations very well, and the data can be noisy and highly collinear. Authors: The five authors are all connected to the Umetrics company (www.umetrics.com) which has developed and sold software for multivariate analysis since 1987, as well as supports customers with training and consultations. Umetrics' customers include most large and medium sized companies in the pharmaceutical, biopharm, chemical, and semiconductor sectors.

Today, under pressure from managed care companies as well as from patients who are demanding briefer and more focused treatments, therapists are creatively combining cognitive and psychodynamic approaches and obtaining unprecedented therapeutic results. In this volume, Robert Leahy describes Aaron Beck's seminal model of depression, anxiety, anger, and relationship conflict and shows how each of these problems is handled by the cognitive therapist in the context of an interactive therapeutic relationship. Leahy demonstrates how uncovering resistance to change and using the therapeutic relationship enhances recovery and promotes rapid change. With concrete examples he shows how to implement all of the basic cognitive techniques, including: —activity scheduling —graded task assignments —exposure hierarchies —response prevention —challenging underlying schemas —thought monitoring Drawing from cognitive and dynamic orientations and taking into account the complexity of countertransference and resistance, this book is for today's clinicians who, rather than being wedded to a specific approach, are committed to a quick and successful therapeutic outcome. A Jason Aronson Book

Written by experienced experts in molecular modeling, this books describes the basics to the extent that is necessary if one wants to be able to reliably judge the results from molecular modeling calculations. Its main objective is the description of the various pitfalls to be avoided. Without unnecessary overhead it leads the reader from simple calculations on small molecules to the modeling of proteins and other relevant biomolecules. A textbook for beginners as well as an invaluable reference for all those dealing with molecular modeling in their daily work!

The book is an introduction to modern probability theory written by one of the famous experts in this area. Readers will learn about the basic concepts of probability and its applications, preparing them for more advanced and specialized works.

This textbook is for a one semester introductory course in thermodynamics, primarily for use in a mechanical or aerospace engineering program, although it could also be used in an engineering science curriculum. The book contains a section on the geometry of curves and surfaces, in order to review those parts of calculus that are needed in thermodynamics for interpolation and in discussing thermodynamic equations of state of simple substances. It presents the First Law of Thermodynamics as an equation for the time rate of change of system energy, the same way that Newton’s Law of Motion, an equation for the time rate of change of system momentum, is presented in Dynamics. Moreover, this emphasis illustrates the importance of the equation to the study of heat transfer and fluid mechanics. New thermodynamic properties, such as internal energy and entropy, are introduced with a motivating discussion rather than by abstract postulation, and connection is made with kinetic theory. Thermodynamic properties of the vaporizable liquids needed for the solution of practical thermodynamic problems (e.g. water and various refrigerants) are presented in a unique tabular format that is both simple to understand and easy to use. All theoretical discussions throughout the book are accompanied by worked examples illustrating their use in practical devices. These examples of the solution of various kinds of thermodynamic problems are all structured in exactly the same way in order to make, as a result of the repetitions, the solution of new problems easier for students to follow, and ultimately, to produce themselves. Many additional problems are provided, half of them with answers, for students to do on their own.

PACS BASIC PRINCIPLES AND APPLICATIONS H. K. Huang, D.Sc. Picture archiving and communications systems (PACS) are the foundation of digital radiology and are increasingly being implemented to streamline health-care operations, facilitate teleradiology, and improve patient care. PACS: Basic Principles and Applications integrates a comprehensive introduction to the imaging modalities and technical fundamentals of "filmless radiology" with clear guidelines for designing and implementing a PACS system. Written by a leading expert and featuring numerous illustrations, line drawings, and schematic diagrams, this practical, user-friendly resource includes individual chapters on such topics as: * Digital radiologic image fundamentals * Industry standards, with an emphasis on HL7 and DICOM * Image compression * Image acquisition gateways * Communications and networking * System design, installation, and evaluation * Clinical applications and pitfalls * Future development of PACS PACS: Basic Principles and Applications is an essential reference and invaluable sourcebook for radiologists and radiology residents and technologists, as well as for imaging facility planners and support staff.