Noise-induced bias in low-direction diffusion tensor MRI: replication of Monte-Carlo simulation with in-vivo scans

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Publication Type pre-print
School or College <blank>
Department <blank>
Creator Gerig, Guido
Other Author Goodlett, C. B.; Fletcher, P. T.; Lin, W.
Title Noise-induced bias in low-direction diffusion tensor MRI: replication of Monte-Carlo simulation with in-vivo scans
Date 2007-01-01
Description Clinical neuroimaging studies involving diffusion tensor MRI (DTI) require precise estimation of diffusion properties for statistical analysis. Tensor derived measures such as fractional anisotropy (FA) and trace are often analyzed for hypothesis testing. Given the limited scanning time typically available for studies, careful selection of scanning protocols and processing methods is essential for accurate and precise measurements. Analysis of the effect of MR noise on tensor derived measures has shown a negative bias in FA when the principal eigenvector of tensor is aligned with a gradient direction [1][2][3]. This bias can lead to a correlation between FA and tensor orientation in protocols with low numbers of gradient directions. We extend the results of simulation experiments by showing evidence of predicted anisotropy bias in in-vivo data.
Type Text
Publisher International Society for Magnetic Resonance in Medicine
Language eng
Bibliographic Citation Goodlett, C. B., Fletcher, P. T., Lin, W., & Gerig, G. (2007). Noise-induced bias in low-direction diffusion tensor MRI: replication of Monte-Carlo simulation with in-vivo scans. Proceedings of ISMRM 2007.
Rights Management (c) International Society for Magnetic Resonance in Medicine
Format Medium application/pdf
Format Extent 25,298 bytes
Identifier uspace,19257
ARK ark:/87278/s6kd5732
Setname ir_uspace
Date Created 2015-03-20
Date Modified 2015-03-20
ID 712877
Reference URL https://collections.lib.utah.edu/ark:/87278/s6kd5732
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