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Parameter Sensitivity Visualization for DTI Fiber Tracking
November/December 2009 (vol. 15 no. 6)
pp. 1441-1448
ASCII Text
x 
 
Ralph Brecheisen, Anna Vilanova, Bram Platel, Bart ter Haar Romeny, "Parameter Sensitivity Visualization for DTI Fiber Tracking," IEEE Transactions on Visualization and Computer Graphics, vol. 15, no. 6, pp. 1441-1448, November/December, 2009.
 
 
BibTex
x
 
@article{ 10.1109/TVCG.2009.170,
author = {Ralph Brecheisen and Anna Vilanova and Bram Platel and Bart ter Haar Romeny},
title = {Parameter Sensitivity Visualization for DTI Fiber Tracking},
journal ={IEEE Transactions on Visualization and Computer Graphics},
volume = {15},
number = {6},
issn = {1077-2626},
year = {2009},
pages = {1441-1448},
doi = {http://doi.ieeecomputersociety.org/10.1109/TVCG.2009.170},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - JOUR
JO - IEEE Transactions on Visualization and Computer Graphics
TI - Parameter Sensitivity Visualization for DTI Fiber Tracking
IS - 6
SN - 1077-2626
SP1441
EP1448
EPD - 1441-1448
A1 - Ralph Brecheisen,
A1 - Anna Vilanova,
A1 - Bram Platel,
A1 - Bart ter Haar Romeny,
PY - 2009
KW - Fiber Tracking
KW - Parameter Sensitivity
KW - Stopping Criteria
KW - Diffusion Tensor Imaging
KW - Uncertainty Visualization
VL - 15
JA - IEEE Transactions on Visualization and Computer Graphics
ER -
 
Ralph Brecheisen, Technical University Eindhoven
Anna Vilanova, Technical University Eindhoven
Bram Platel, Technical University Eindhoven
Bart ter Haar Romeny, Technical University Eindhoven
Fiber tracking of Diffusion Tensor Imaging (DTI) data offers a unique insight into the three-dimensional organisation of white matter structures in the living brain. However, fiber tracking algorithms require a number of user-defined input parameters that strongly affect the output results. Usually the fiber tracking parameters are set once and are then re-used for several patient datasets. However, the stability of the chosen parameters is not evaluated and a small change in the parameter values can give very different results. The user remains completely unaware of such effects. Furthermore, it is difficult to reproduce output results between differentusers. We propose a visualization tool that allows the user to visually explore how small variations in parameter values affect the output of fiber tracking. With this knowledge the user cannot only assess the stability of commonly used parameter values but also evaluate in a more reliable way the output results between different patients. Existing tools do not provide such information. A small user evaluation of our tool has been done to show the potential of the technique.

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Index Terms:
Fiber Tracking, Parameter Sensitivity, Stopping Criteria, Diffusion Tensor Imaging, Uncertainty Visualization
Citation:
Ralph Brecheisen, Anna Vilanova, Bram Platel, Bart ter Haar Romeny, "Parameter Sensitivity Visualization for DTI Fiber Tracking," IEEE Transactions on Visualization and Computer Graphics, vol. 15, no. 6, pp. 1441-1448, Nov.-Dec. 2009, doi:10.1109/TVCG.2009.170
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