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Structure Tensor Estimation: Introducing Monomial Quadrature Filter Sets Read chapter Read first chapter

2012 | OriginalPaper | Chapter

A Comparative Analysis of Dimension Reduction Techniques for Representing DTI Fibers as 2D/3D Points

Authors : Xiaoyong Yang, Ruiyi Wu, Ziáng Ding, Wei Chen, Song Zhang

Published in: New Developments in the Visualization and Processing of Tensor Fields

Publisher: Springer Berlin Heidelberg

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Abstract

Dimension Reduction is the process of transfering high-dimensional data into lower dimensions while maintaining the original intrinsic structures. This technique of finding low-dimensional embedding from high-dimensional data is important for visualizing dense 3D DTI fibers because it is hard to visualize and analyze the fiber tracts with high geometric, spatial, and anatomical complexity. Color-mapping, selection, and abstraction are widely used in DTI fiber visualization to depict the properties of fiber models. Nonetheless, visual clutters and occlusion in 3D space make it hard to grasp even a few thousand fibers. In addition, real time interaction (exploring and navigating) on such complex 3D models consumes large amount of CPU/GPU power. Converting DTI fiber to 2D or 3D points with dimension reduction techniques provides a complimentary visualization for these fibers. This chapter analyzes and compares dimension reduction methods for DTI fiber models. An interaction interface augments the 3D visualization with a 2D representation that contains a low-dimensional embedding of the DTI fibers. To achieve real-time interaction, the framework is implemented with GPU programming.

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Metadata
Title
A Comparative Analysis of Dimension Reduction Techniques for Representing DTI Fibers as 2D/3D Points
Authors
Xiaoyong Yang
Ruiyi Wu
Ziáng Ding
Wei Chen
Song Zhang
Copyright Year
2012
Publisher
Springer Berlin Heidelberg
Book
New Developments in the Visualization and Processing of Tensor Fields

Print ISBN: 978-3-642-27342-1

Electronic ISBN: 978-3-642-27343-8

Copyright Year: 2012

DOI
https://doi.org/10.1007/978-3-642-27343-8_9

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