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Visualization in Medicine and Life Sciences III

Towards Making an Impact

  • Conference proceedings
  • © 2016

Overview

Editors:
  1. Lars Linsen

    1. Department of Computer Science and Elect, Jacobs University, Bremen, Germany

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  2. Bernd Hamann

    1. Department of Computer Science, University of California, Davis, USA

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    You can also search for this editor in PubMed   Google Scholar

  3. Hans-Christian Hege

    1. Visualization and Data Analysis, Zuse Institute Berlin (ZIB), Berlin, Germany

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    You can also search for this editor in PubMed   Google Scholar

  • Novel approaches and state-of-the-art reviews in the field of visualization in medicine and life sciences
  • Contributions by leading experts in the field
  • Described methods have been developed in direct collaboration with application scientists

Part of the book series: Mathematics and Visualization (MATHVISUAL)

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Table of contents (15 papers)

  1. Front Matter

    Pages i-viii
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  2. Segmentation and Uncertainty

    1. Front Matter

      Pages 1-1
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    2. Lung Segmentation of MR Images: A Review

      • Tatyana Ivanovska, Katrin Hegenscheid, René Laqua, Sven Gläser, Ralf Ewert, Henry Völzke
      Pages 3-24

    3. Fast Uncertainty-Guided Fuzzy C-Means Segmentation of Medical Images

      • Ahmed Al-Taie, Horst K. Hahn, Lars Linsen
      Pages 25-48

    4. muView: A Visual Analysis System for Exploring Uncertainty in Myocardial Ischemia Simulations

      • Paul Rosen, Brett Burton, Kristin Potter, Chris R. Johnson
      Pages 49-69

  3. Visualization of 3D Medical Images

    1. Front Matter

      Pages 71-71
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    2. Combined Volume Registration and Visualization

      • Arlie G. Capps, Robert J. Zawadzki, John S. Werner, Bernd Hamann
      Pages 73-91

    3. Feature Lines for Illustrating Medical Surface Models: Mathematical Background and Survey

      • Kai Lawonn, Bernhard Preim
      Pages 93-131

    4. Remote Visualization Techniques for Medical Imaging Research and Image-Guided Procedures

      • Peter Kohlmann, Tobias Boskamp, Alexander Köhn, Christian Rieder, Andrea Schenk, Florian Link et al.
      Pages 133-154

  4. Visualization for Diffusion-Weighted Imaging

    1. Front Matter

      Pages 155-155
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    2. Visualization of MRI Diffusion Data by a Multi-Kernel LIC Approach with Anisotropic Glyph Samples

      • Mark Höller, Uwe Klose, Samuel Gröschel, Kay-M. Otto, Hans-H. Ehricke
      Pages 157-177

    3. Exploring Crossing Fibers of the Brain’s White Matter Using Directional Regions of Interest

      • Andreas Graumann, Mirco Richter, Christopher Nimsky, Dorit Merhof
      Pages 179-194

    4. Multi-Modal Visualization of Probabilistic Tractography

      • Mathias Goldau, Mario Hlawitschka
      Pages 195-218

  5. Cohort Studies and Time-Varying Phenomena

    1. Front Matter

      Pages 219-219
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    2. Visual Analytics of Image-Centric Cohort Studies in Epidemiology

      • Bernhard Preim, Paul Klemm, Helwig Hauser, Katrin Hegenscheid, Steffen Oeltze, Klaus Toennies et al.
      Pages 221-248

    3. Three Dimensional Visualisation of Microscope Imaging to Improve Understanding of Human Embryo Development

      • Anna Leida Mölder, Sarah Drury, Nicholas Costen, Geraldine Hartshorne, Silvester Czanner
      Pages 249-264

    4. Quantitative Analysis of Knee Movement Patterns Through Comparative Visualization

      • Khoa Tan Nguyen, Håkan Gauffin, Anders Ynnerman, Timo Ropinski
      Pages 265-284

  6. Visualization in Life Sciences

    1. Front Matter

      Pages 285-285
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    2. Interactive Similarity Analysis and Error Detection in Large Tree Collections

      • Jens Fangerau, Burkhard Höckendorf, Bastian Rieck, Christian Heine, Joachim Wittbrodt, Heike Leitte
      Pages 287-307

    3. Efficient Reordering of Parallel Coordinates and Its Application to Multidimensional Biological Data Visualization

      • Tran Van Long, Lars Linsen
      Pages 309-328
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Keywords

About this book

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.

Editors and Affiliations

  • Department of Computer Science and Elect, Jacobs University, Bremen, Germany

    Lars Linsen

  • Department of Computer Science, University of California, Davis, USA

    Bernd Hamann

  • Visualization and Data Analysis, Zuse Institute Berlin (ZIB), Berlin, Germany

    Hans-Christian Hege

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