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Differential geometry. Global analysis

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The book discusses novel visualization techniques driven by the needs in medicine and life sciences as well as new application areas and challenges for visualization within these fields. It presents ideas and concepts for visual analysis of data from scientific studies of living organs or to the delivery of healthcare. Target scientific domains include the entire field of biology at all scales - from genes and proteins to organs and populations - as well as interdisciplinary research based on technological advances such as bioinformatics, biomedicine, biochemistry, or biophysics. Moreover, they comprise the field of medicine and the application of science and technology to healthcare problems. This book does not only present basic research pushing the state of the art in the field of visualization, but it also documents the impact in the fields of medicine and life sciences.

Mathematics. --- User interfaces (Computer systems). --- Computer graphics. --- Image processing. --- Visualization. --- User Interfaces and Human Computer Interaction. --- Computer Graphics. --- Image Processing and Computer Vision. --- User interfaces (Computer systems) --- Visualisation --- Pictorial data processing --- Picture processing --- Processing, Image --- Automatic drafting --- Graphic data processing --- Graphics, Computer --- Interfaces, User (Computer systems) --- Math --- Imagery (Psychology) --- Imagination --- Visual perception --- Imaging systems --- Optical data processing --- Computer art --- Graphic arts --- Electronic data processing --- Engineering graphics --- Image processing --- Science --- Digital techniques --- Human-machine systems --- Human-computer interaction --- Computer science. --- Computer vision. --- Machine vision --- Vision, Computer --- Artificial intelligence --- Pattern recognition systems --- Informatics --- Optical data processing. --- Optical computing --- Visual data processing --- Bionics --- Integrated optics --- Photonics --- Computers --- Optical equipment

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Visualization research aims at providing insights into large, complex bodies of data. Topological methods are distinguished by their solid mathematical foundation, guiding the algorithmic analysis and its presentation among the various visualization techniques. This book contains 13 peer-reviewed papers resulting from the second workshop on "Topology-Based Methods in Visualization", held 2007 in Grimma near Leipzig, Germany. All articles present original, unpublished work from leading experts. Together, these articles present the state of the art of topology-based visualization research.

Topology --- Geometry --- Engineering sciences. Technology --- Computer architecture. Operating systems --- Artificial intelligence. Robotics. Simulation. Graphics --- neuronale netwerken --- fuzzy logic --- cybernetica --- visualisatie --- grafische vormgeving --- KI (kunstmatige intelligentie) --- ingenieurswetenschappen --- geometrie --- topologie

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For some time, medicine has been an important driver for the development of data processing and visualization techniques. Improved technology offers the capacity to generate larger and more complex data sets related to imaging and simulation. This, in turn, creates the need for more effective visualization tools for medical practitioners to interpret and utilize data in meaningful ways. The first edition of Visualization in Medicine and Life Sciences (VMLS) emerged from a workshop convened to explore the significant data visualization challenges created by emerging technologies in the life sciences. The workshop and the book addressed questions of whether medical data visualization approaches can be devised or improved to meet these challenges, with the promise of ultimately being adopted by medical experts. Visualization in Medicine and Life Sciences II follows the second international VMLS workshop, held in Bremerhaven, Germany, in July 2009. Internationally renowned experts from the visualization and driving application areas came together for this second workshop. The book presents peer-reviewed research and survey papers which document and discuss the progress made, explore new approaches to data visualization, and assess new challenges and research directions. The assembled papers span the frontiers of VMLS, examining these topics: * Feature Extraction * Classification * Volumes and Shapes * Tensor Visualization * Visualizing Genes, Proteins, and Molecules

Biology --- Planning (firm) --- Computer science --- Computer architecture. Operating systems --- Artificial intelligence. Robotics. Simulation. Graphics --- Computer. Automation --- beeldverwerking --- visualisatie --- biologie --- grafische vormgeving --- informatica --- mathematische modellen --- informaticaonderzoek