The Application of GPU Particle Tracing to Diffusion Tensor Field Visualization

2006 ◽  
Author(s):  
P. Kondratieva ◽  
J. Kruger ◽  
R. Westermann
Keyword(s):  
Tensor Field ◽  
Diffusion Tensor ◽  
Particle Tracing ◽  
Diffusion Tensor Field

Diffusion Tensor Field Registration in the Presence of Uncertainty

2009 ◽  
pp. 181-189
Author(s):  
Mustafa Okan Irfanoglu ◽  
Cheng Guan Koay ◽  
Sinisa Pajevic ◽  
Raghu Machiraju ◽  
Peter J. Basser
Keyword(s):  
Tensor Field ◽  
Diffusion Tensor ◽  
Diffusion Tensor Field

A comparative study of diffusion tensor field transformations

2009 ◽  
Author(s):  
Madhura A. Ingalhalikar ◽  
Vincent A. Magnotta ◽  
Jinsuh Kim ◽  
Andrew L. Alexander
Keyword(s):  
Comparative Study ◽  
Tensor Field ◽  
Diffusion Tensor ◽  
Diffusion Tensor Field

Tri-Linear Regulation of Diffusion Tensor Field for WM Fiber Tracking

2014 ◽  
Vol 998-999 ◽  
pp. 503-506
Author(s):  
Zhan Xiong Wu ◽  
Xun Li
Keyword(s):  
Magnetic Resonance ◽  
Tensor Field ◽  
Diffusion Tensor ◽  
Linear Interpolation ◽  
Fiber Tracking ◽  
Second Step ◽  
Magnetic Resonance Data ◽  
Resonance Data ◽  
Diffusion Tensor Field

In this paper we present a method for regulating diffusion tensor magnetic resonance (DT-MRI) data. The method is divided in two steps. First, decomposed diffusion tensor and found out the tensors whose eigenvalue was non-positive. The second step was to apply tri-linear interpolation to regularize the diffusion tensor field. We show that the process is a convenient framework to regulate DT-MR data. Both steps are illustrated on real diffusion tensor magnetic resonance data.

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