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Published in:
2011 | OriginalPaper | Chapter
Assessment of Bias for MRI Diffusion Tensor Imaging Using SIMEX
Authors : Carolyn B. Lauzon, Andrew J. Asman, Ciprian Crainiceanu, Brian C. Caffo, Bennett A. Landman
Published in: Medical Image Computing and Computer-Assisted Intervention – MICCAI 2011
Publisher: Springer Berlin Heidelberg
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Diffusion Tensor Imaging (DTI) is a Magnetic Resonance Imaging method for measuring water diffusion
in vivo
. One powerful DTI contrast is fractional anisotropy (FA). FA reflects the strength of water’s diffusion directional preference and is a primary metric for neuronal fiber tracking. As with other DTI contrasts, FA measurements are obscured by the well established presence of bias. DTI bias has been challenging to assess because it is a multivariable problem including SNR, six tensor parameters, and the DTI collection and processing method used. SIMEX is a modern statistical technique that estimates bias by tracking measurement error as a function of added noise. Here, we use SIMEX to assess bias in FA measurements and show the method provides; i) accurate FA bias estimates, ii) representation of FA bias that is data set specific and accessible to non-statisticians, and iii) a first time possibility for incorporation of bias into DTI data analysis.