title: Assessment of bias for MRI diffusion tensor imaging using SIMEX.
abstract: 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 modem 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.
authors: Department of Electrical Engineering, Vanderbilt University, Nashville, TN, USA.
authors: Carolyn B
authors: CB
authors: Lauzon
authors: Andrew J
authors: AJ
authors: Asman
authors: Ciprian
authors: C
authors: Crainiceanu
authors: Brian C
authors: BC
authors: Caffo
authors: Bennett A
authors: BA
authors: Landman
mesh_terms: D000465:Algorithms; D016880:Anisotropy; D015982:Bias; D003198:Computer Simulation; D038524:Diffusion Magnetic Resonance Imaging / Q000379:methods*; D056324:Diffusion Tensor Imaging / Q000379:methods*; D006801:Humans; D015233:Models, Statistical; D009010:Monte Carlo Method; D015203:Reproducibility of Results; D012984:Software