Effects of signal-to-noise ratio on the accuracy and reproducibility of diffusion tensor imaging-derived fractional anisotropy, mean diffusivity, and principal eigenvector measurements at 1.5T

@article{citeulike:1606711, abstract = {To develop an experimental protocol to calculate the precision and accuracy of fractional anisotropy (FA), mean diffusivity (MD), and the orientation of the principal eigenvector (PEV) as a function of the signal-to-noise ratio (SNR) in vivo.A healthy male volunteer was scanned in three separate scanning sessions, yielding a total of 45 diffusion tensor imaging (DTI) scans. To provide FA, MD, and PEV as a function of SNR, sequential scans from a scan session were grouped into nonintersecting sets. Analysis of the accuracy and precision of the DTI-derived contrasts was done in both a voxel-wise and region of interest (ROI)-based manner.An upward bias of FA and no significant bias in MD were present as SNR decreased, confirming results from simulation-based studies. Notably, while the precision of the PEV became worse at low SNR, no bias in the PEV orientation was observed. Overall, an accurate and precise quantification of FA values in GM requires substantially more SNR than the quantification of white matter (WM) FA valuesThis study provides guidance for FA, MD, and PEV quantification and a means to investigate the minimal detectable differences within and across scan sessions as a function of SNR. J. Magn. Reson. Imaging 2007;26:756-767. {\copyright} 2007 Wiley-Liss, Inc.}, address = {F.M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Institute, Baltimore, Maryland, USA; The Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, Baltimore, Maryland, USA; Department of Biophysics and Biophysical Chemistry, The Johns Hopkins University School of Medicine, Baltimore, Maryland, USA; Department of Biomedical Engineering, The Johns Hopkins University School of Medicine, Baltimore, Maryland, USA; Department of Electrical and Computer Engineering, Johns Hopkins University, Baltimore, MD, USA}, author = {Farrell, Jonathan A. D. and Landman, Bennett A. and Jones, Craig K. and Smith, Seth A. and Prince, Jerry L. and van Zijl, Peter C. M. and Mori, Susumu }, citeulike-article-id = {1606711}, doi = {10.1002/jmri.21053}, journal = {Journal of Magnetic Resonance Imaging}, keywords = {analysis, diffusion, dw-mri, noise, snr}, number = {3}, pages = {756--767}, posted-at = {2007-08-30 07:48:57}, priority = {2}, title = {Effects of signal-to-noise ratio on the accuracy and reproducibility of diffusion tensor imaging-derived fractional anisotropy, mean diffusivity, and principal eigenvector measurements at 1.5T}, url = {http://dx.doi.org/10.1002/jmri.21053}, volume = {26}, year = {2007} }

TY - JOUR ID - citeulike:1606711 L3 - citeulike-article-id:1606711 TI - Effects of signal-to-noise ratio on the accuracy and reproducibility of diffusion tensor imaging-derived fractional anisotropy, mean diffusivity, and principal eigenvector measurements at 1.5T JF - Journal of Magnetic Resonance Imaging VL - 26 IS - 3 SP - 756 EP - 767 AD - F.M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Institute, Baltimore, Maryland, USA; The Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, Baltimore, Maryland, USA; Department of Biophysics and Biophysical Chemistry, The Johns Hopkins University School of Medicine, Baltimore, Maryland, USA; Department of Biomedical Engineering, The Johns Hopkins University School of Medicine, Baltimore, Maryland, USA; Department of Electrical and Computer Engineering, Johns Hopkins University, Baltimore, MD, USA N2 - To develop an experimental protocol to calculate the precision and accuracy of fractional anisotropy (FA), mean diffusivity (MD), and the orientation of the principal eigenvector (PEV) as a function of the signal-to-noise ratio (SNR) in vivo.A healthy male volunteer was scanned in three separate scanning sessions, yielding a total of 45 diffusion tensor imaging (DTI) scans. To provide FA, MD, and PEV as a function of SNR, sequential scans from a scan session were grouped into nonintersecting sets. Analysis of the accuracy and precision of the DTI-derived contrasts was done in both a voxel-wise and region of interest (ROI)-based manner.An upward bias of FA and no significant bias in MD were present as SNR decreased, confirming results from simulation-based studies. Notably, while the precision of the PEV became worse at low SNR, no bias in the PEV orientation was observed. Overall, an accurate and precise quantification of FA values in GM requires substantially more SNR than the quantification of white matter (WM) FA valuesThis study provides guidance for FA, MD, and PEV quantification and a means to investigate the minimal detectable differences within and across scan sessions as a function of SNR. J. Magn. Reson. Imaging 2007;26:756-767. © 2007 Wiley-Liss, Inc. KW - analysis KW - diffusion KW - dw-mri KW - noise KW - snr AU - Farrell, Jonathan AU - Landman, Bennett AU - Jones, Craig AU - Smith, Seth AU - Prince, Jerry AU - van Zijl, Peter AU - Mori, Susumu PY - 2007/// UR - http://dx.doi.org/10.1002/jmri.21053 ER -