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MIAR
2010
IEEE

Metrics for Uncertainty Analysis and Visualization of Diffusion Tensor Images

13 years 2 months ago
Metrics for Uncertainty Analysis and Visualization of Diffusion Tensor Images
In this paper, we propose three metrics to quantify the differences between the results of diffusion tensor magnetic resonance imaging (DT-MRI) fiber tracking algorithms: the area between corresponding fibers of each bundle, the Earth Mover’s Distance (EMD) between two fiber bundle volumes, and the current distance between two fiber bundle volumes. We also discuss an interactive fiber track comparison visualization toolkit we have developed based on the three proposed fiber difference metrics and have tested on six widely-used fiber tracking algorithms. To show the effectiveness and robustness of our metrics and visualization toolkit, we present results on both synthetic data and high resolution monkey brain DT-MRI data. Our toolkit can be used for testing the noise effects on fiber tracking analysis and visualization and to quantify the difference between any pair of DT-MRI techniques, compare single subjects within an image atlas.
Fangxiang Jiao, Jeff M. Phillips, Jeroen G. Stinst
Added 29 Jan 2011
Updated 29 Jan 2011
Type Journal
Year 2010
Where MIAR
Authors Fangxiang Jiao, Jeff M. Phillips, Jeroen G. Stinstra, Jens Krger, Raj Varma Kommaraju, Edward Hsu, Julie Korenberg, Chris R. Johnson
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