Visualization in medicine and life sciences

Author(s)

Bibliographic Information

Visualization in medicine and life sciences

Lars Linsen, Hans Hagen, Bernd Hamann, editors

(Mathematics and visualization)

Springer, c2008-c2012

  • [I]
  • II

Other Title

Visualization in medicine and life sciences II : progress and new challenges

Available at  / 2 libraries

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Note

II: Progress and new challenges

Editors of II: Lars Linsen, Hans Hagen, Bernd Hamann, Hans-Christian Hege

[I]: ix, 345 p., II: viii, 290 p.

Includes bibliographical references

Description and Table of Contents

Volume

[I] ISBN 9783540726296

Description

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.

Table of Contents

Surface Extraction Methods from Medical Imaging Data.- Towards Automatic Generation of 3D Models of Biological Objects Based on Serial Sections.- A Topological Approach to Quantitation of Rheumatoid Arthritis.- 3D Visualization of Vasculature: An Overview.- 3D Surface Reconstruction from Endoscopic Videos.- Geometry Processing in Medical Applications.- A Framework for the Visualization of Cross Sectional Data in Biomedical Research.- Towards a Virtual Echocardiographic Tutoring System.- Supporting Depth and Motion Perception in Medical Volume Data.- Visualization of Multi-channel Medical Imaging Data.- Multimodal Image Registration for Efficient Multi-resolution Visualization.- A User-friendly Tool for Semi-automated Segmentation and Surface Extraction from Color Volume Data Using Geometric Feature-space Operations.- Vector and Tensor Visualization in Medical Applications.- Global Illumination of White Matter Fibers from DT-MRI Data.- Direct Glyph-based Visualization of Diffusion MR Data Using Deformed Spheres.- Visual Analysis of Bioelectric Fields.- MRI-based Visualisation of Orbital Fat Deformation During Eye Motion.- Visualizing Molecular Structures.- Visual Analysis of Biomolecular Surfaces.- BioBrowser - Visualization of and Access to Macro-Molecular Structures.- Visualization of Barrier Tree Sequences Revisited.- Visualizing Gene Expression Data.- Interactive Visualization of Gene Regulatory Networks with Associated Gene Expression Time Series Data.- Segmenting Gene Expression Patterns of Early-stage Drosophila Embryos.
Volume

II ISBN 9783642216077

Description

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.

Table of Contents

Part I Feature Extraction: Discrete Distortion for 3D Data Analysis.- Interactive Visualization - a Key Prerequisite for Reconstruction and Analysis of Anatomically Realistic Neural Networks.- MRI-Based Visualisation and Quantification of Rheumatoid and Psoriatic Arthritis of the Knee.- An Application for the Visualization and Quantification of HIVAssociated Lipodystrophy from Magnetic Resonance Imaging Datasets.- Part II Classification: Semi-automatic Rough Classification of Multichannel Medical Imaging Data.- An Evaluation of Peak Finding for DVR Classification of Biological Data.- Part III Volumes and Shapes: Vessel Visualization with Volume Rendering.- Efficient Selection of Representative Views and Navigation Paths for Volume Data Exploration.- Feature Preserving Smoothing of Shapes using Saliency Skeletons.- Part IV Tensor Visualization: Enhanced DTI tracking with Adaptive Tensor Interpolation.- Image-space Tensor Field Visualization Using a LIC-like Method.- Towards a High-quality Visualization of Higher-order Reynold's Glyphs for Diffusion Tensor Imaging.- Part V Visualizing Genes, Proteins, and Molecules: VENLO - Interactive Visual Exploration of Aligned Biological Networks and Their Evolution.- Embedding Biomolecular Information in a Scene Graph System.- Linking Advanced Visualization and MATLAB for the Analysis of 3D Gene Expression Data

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