DocumentCode :
1305372
Title :
Coherent Structures of Characteristic Curves in Symmetric Second Order Tensor Fields
Author :
Hlawatsch, Marcel ; Vollrath, Joachim E. ; Sadlo, Filip ; Weiskopf, Daniel
Author_Institution :
Visualization Res. Center, Univ. Stuttgart (VISUS), Stuttgart, Germany
Volume :
17
Issue :
6
fYear :
2011
fDate :
6/1/2011 12:00:00 AM
Firstpage :
781
Lastpage :
794
Abstract :
This paper generalizes the concept of Lagrangian coherent structures, which is known for its potential to visualize coherent regions in vector fields and to distinguish them from each other. In particular, we extend the concept of the flow map to generic mappings of coordinates. As the major application of this generalization, we present a semiglobal method for visualizing coherent structures in symmetric second order tensor fields. We demonstrate the usefulness by examples from DT-MRI, uncovering anatomical structures in linearly anisotropic regions not amenable to local feature criteria. To further exemplify the suitability of our concept, we also present its application to stress tensor fields. Last, an accelerated implementation utilizing GPUs is presented.
Keywords :
biomedical MRI; computational geometry; data visualisation; tensors; DT-MRI; GPU; Lagrangian coherent structures; anatomical structures; characteristic curves; coherent structure visualization; diffusion tensor magnetic resonance imaging; flow map; linearly anisotropic regions; stress tensor fields; symmetric second order tensor fields; tensor field visualization; Anisotropic magnetoresistance; Diffusion tensor imaging; Eigenvalues and eigenfunctions; Feature extraction; Tensile stress; Visualization; Lagrangian coherent structures; feature extraction; general-purpose computation using graphics hardware.; tensor field topology; tensor field visualization;
fLanguage :
English
Journal_Title :
Visualization and Computer Graphics, IEEE Transactions on
Publisher :
ieee
ISSN :
1077-2626
Type :
jour
DOI :
10.1109/TVCG.2010.107
Filename :
5557866
Link To Document :
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