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Visual Computing for Medicine, Second Edition, offers cutting-edge visualization techniques and their applications in medical diagnosis, education, and treatment. The book includes algorithms, applications, and ideas on achieving reliability of results and clinical evaluation of the techniques covered. Preim and Botha illustrate visualization techniques from research, but also cover the information required to solve practical clinical problems. They base the book on several years of combined teaching and research experience. This new edition includes six new chapters on treatment planning, guidance and training; an updated appendix on software support for visual computing for medicine; and a new global structure that better classifies and explains the major lines of work in the field. - Complete guide to visual computing in medicine, fully revamped and updated with new developments in the field - Illustrated in full color - Includes a companion website offering additional content for professors, source code, algorithms, tutorials, videos, exercises, lessons, and more
Visualization technology is becoming increasingly important for medical and biomedical data processing and analysis. The interaction between visualization and medicine is one of the fastest expanding fields, both scientifically and commercially. This book discusses some of the latest visualization techniques and systems for effective analysis of such diverse, large, complex, and multi-source data.
The two-volume set LNCS 4141, and LNCS 4142 constitutes the refereed proceedings of the Third International Conference on Image Analysis and Recognition, ICIAR 2006. The volumes present 71 revised full papers and 92 revised poster papers together with 2 invited lectures. Volume II includes papers on pattern recognition for image analysis, computer vision, biometrics, shape and matching, brain imaging, remote sensing image processing, and more.
Based on the seminar that took place in Dagstuhl, Germany in June 2011, this contributed volume studies the four important topics within the scientific visualization field: uncertainty visualization, multifield visualization, biomedical visualization and scalable visualization. • Uncertainty visualization deals with uncertain data from simulations or sampled data, uncertainty due to the mathematical processes operating on the data, and uncertainty in the visual representation, • Multifield visualization addresses the need to depict multiple data at individual locations and the combination of multiple datasets, • Biomedical is a vast field with select subtopics addressed from scanning methodologies to structural applications to biological applications, • Scalability in scientific visualization is critical as data grows and computational devices range from hand-held mobile devices to exascale computational platforms. Scientific Visualization will be useful to practitioners of scientific visualization, students interested in both overview and advanced topics, and those interested in knowing more about the visualization process.
The latest edition of this bestselling game development reference offers proven tips and techniques for the real-time rendering of special effects and visualization data that are useful for beginners and seasoned game and graphics programmers alike.Exploring recent developments in the rapidly evolving field of real-time rendering, GPU Pro6: Advance
Animation - Process, Cognition and Actuality presents a uniquely philosophical and multi-disciplinary approach to the scholarly study of animation, by using the principles of process philosophy and Deleuzian film aesthetics to discuss animation practices, from early optical devices to contemporary urban design and installations. Some of the original theories presented are a process-philosophy based theory of animation; a cognitive theory of animation; a new theoretical approach to the animated documentary; an original investigative approach to animation; and unique considerations as to the convergence of animation and actuality. Numerous animated examples (from all eras and representing a wi...
Visualization in Medicine is the first book on visualization and its application to problems in medical diagnosis, education, and treatment. The book describes the algorithms, the applications and their validation (how reliable are the results?), and the clinical evaluation of the applications (are the techniques useful?). It discusses visualization techniques from research literature as well as the compromises required to solve practical clinical problems. The book covers image acquisition, image analysis, and interaction techniques designed to explore and analyze the data. The final chapter shows how visualization is used for planning liver surgery, one of the most demanding surgical disciplines. The book is based on several years of the authors' teaching and research experience. Both authors have initiated and lead a variety of interdisciplinary projects involving computer scientists and medical doctors, primarily radiologists and surgeons.* A core field of visualization and graphics missing a dedicated book until now* Written by pioneers in the field and illustrated in full color* Covers theory as well as practice
This book contains the proceedings of Geometric Modeling and Processing 2002, the second in a biennial international conference series on the theory and applications of solid modeling, shape representation, and geometric computation. The topics of the papers cover most major areas of geometric modeling and processing such as curve and surface modeling, triangular mesh modeling, and subdivision surfaces.
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The thesis of this volume is that the fields of scholarly enquiry of Education — internationally as well as in South Africa in particular — despite being fields of virile scholarly activity and output, are in need of a major overhaul. In this collected work this want in research is encapsulated in three words: relevance, rigour and restructuring. Research in the scholarly field(s) of Education is predominantly of small scale, non-accumulative, widely condemned as not of a comparable standard to research done in other social sciences, much less upon a par with research in the natural sciences, and lacking structure in the sense of being anchored in a firm theory. To make matters worse, scholars in Education internationally and in South Africa have till very recently eschewed discussion as to the packaging or structuring of knowledge produced by Education research. The book consists of chapters containing original research unpacking these desiderata from a variety of angles. The authors had them served by a variety of methods, from deductively argued position papers, to empirical research, the latter both quantitative (survey research) and qualitative.