Visualization in Medicine and Life Sciences

  • Lars Linsen
  • Hans Hagen
  • Bernd Hamann

Part of the Mathematics and Visualization book series (MATHVISUAL)

Table of contents

  1. Front Matter
    Pages I-IX
  2. Surface Extraction Methods from Medical Imaging Data

    1. Vincent Jasper Dercksen, Cornelia Brüß, Detlev Stalling, Sabine Gubatz, Udo Seiffert, Hans-Christian Hege
      Pages 3-25
    2. Hamish Carr, John Ryan, Maria Joyce, Oliver Fitzgerald, Douglas Veale, Robin Gibney et al.
      Pages 27-37
    3. Bernhard Preim, Steffen Oeltze
      Pages 39-59
    4. Arie Kaufman, Jianning Wang
      Pages 61-74
  3. Geometry Processing in Medical Applications

    1. Enrico Kienel, Marek Vančo, Guido Brunnett, Thomas Kowalski, Roland Clauß, Wolfgang Knabe
      Pages 77-97
    2. Gerd Reis, Bernd Lappé, Sascha Köhn, Christopher Weber, Martin Bertram, Hans Hagen
      Pages 99-119
    3. Jennis Meyer-Spradow, Timo Ropinski, Klaus Hinrichs
      Pages 121-133
  4. Visualization of Multi-channel Medical Imaging Data

  5. Vector and Tensor Visualization in Medical Applications

    1. David C. Banks, Carl-Fredrik Westin
      Pages 173-184
    2. Martin Domin, Sönke Langner, Norbert Hosten, Lars Linsen
      Pages 185-204
    3. Xavier Tricoche, Rob MacLeod, Chris R. Johnson
      Pages 205-220
    4. Charl P. Botha, Thijs de Graaf, Sander Schutte, Ronald Root, Piotr Wielopolski, Frans C.T. van der Helm et al.
      Pages 221-233
  6. Visualizing Molecular Structures

    1. Vijay Natarajan, Patrice Koehl, Yusu Wang, Bernd Hamann
      Pages 237-255
    2. Christian Heine, Gerik Scheuermann, Christoph Flamm, Ivo L. Hofacker, Peter F. Stadler
      Pages 275-290
  7. Visualizing Gene Expression Data

    1. Michel A. Westenberg, Sacha A. F. T. van Hijum, Andrzej T. Lulko, Oscar P. Kuipers, Jos B. T. M. Roerdink
      Pages 293-311
    2. Min-Yu Huang, Oliver Rübel, Gunther H. Weber, Cris L. Luengo Hendriks, Mark D. Biggin, Hans Hagen et al.
      Pages 313-327
  8. Back Matter
    Pages 329-345

About these proceedings

Introduction

Visualization technology has become a crucial component of medical and b- medical data processing and analysis. This technology complements tra- tional image processing methods as it allows scientists and practicing medical doctors to visually interact with large, high-resolution three-dimensional - age data. Further, an ever increasing number of new data acquisition me- ods is being used in medicine and the life sciences, in particular in genomics and proteomics. The book contains papers discussing some of the latest data processing and visualization techniques and systems for e?ective analysis of diverse, large, complex, and multi-source data. Internationally leading experts in the area of data visualization came - gether for a workshop dedicated to visualization in medicine and life sciences, held on the island of Rugen, ¨ Germany, in July 2006. About 40 participants presented state-of-the-art research on this topic. Research and survey papers were solicited and carefully refereed, resulting in this collection. The research topics covered by the papers in this book deal with these themes: • Segmentation and Feature Detection • Surface Extraction • Volume Visualization • Graph and Network Visualization • Visual Data Exploration • Multivariate and Multidimensional Data Visualization • Large Data Visualization The workshop was supported, in part, by the Deutsche Forschungsgeme- schaft (DFG).

Keywords

3D 3D Surface Reconstruction Analysis construction image processing life sciences visualization

Editors and affiliations

  • Lars Linsen
    • 1
  • Hans Hagen
    • 2
  • Bernd Hamann
    • 3
  1. 1.School of Engineering and ScienceJacobs University BremenBremenGermany
  2. 2.Technische Universität KaiserslauternKaiserslauternGermany
  3. 3.Department of Computer ScienceUniversity of CaliforniaDavisUSA

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-540-72630-2
  • Copyright Information Springer Berlin Heidelberg 2008
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Mathematics and Statistics
  • Print ISBN 978-3-540-72629-6
  • Online ISBN 978-3-540-72630-2
  • Series Print ISSN 1612-3786
  • About this book