2009
DOI: 10.1002/mrm.21890
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The B‐matrix must be rotated when correcting for subject motion in DTI data

Abstract: To estimate diffusion tensor MRI (DTI) measures, such as fractional anisotropy and fiber orientation, reliably, a large number of diffusion-encoded images is needed, preferably cardiac gated to reduce pulsation artifacts. However, the concomitant longer acquisition times increase the chances of subject motion adversely affecting the estimation of these measures. While correcting for motion artifacts improves the accuracy of DTI, an often overlooked step in realigning the images is to reorient the B-matrix so t… Show more

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Cited by 1,250 publications
(939 citation statements)
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References 42 publications
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“…Therefore, we propose that using a triexponential signal decay fit provides more information on the component of the signal that is associated with intermediate diffusion rate, in the order of magnitude of free water. Our findings agree with earlier application of triexponential fits to the liver and the prostate, where the additional component is believed to correspond with free water37, 38 or microperfusion 36…”
Section: Discussionsupporting
confidence: 92%
See 1 more Smart Citation
“…Therefore, we propose that using a triexponential signal decay fit provides more information on the component of the signal that is associated with intermediate diffusion rate, in the order of magnitude of free water. Our findings agree with earlier application of triexponential fits to the liver and the prostate, where the additional component is believed to correspond with free water37, 38 or microperfusion 36…”
Section: Discussionsupporting
confidence: 92%
“…Second, these motion‐corrected data were registered to the T 2 ‐weighted anatomical images, using an 3D affine registration algorithm. At each step, the B‐matrix was adjusted to take any rotational components into account 38. In order to obtain corresponding resolutions, the diffusion‐weighted data and the anatomical images were resampled to 2 mm isotropic resolution.…”
Section: Methodsmentioning
confidence: 99%
“…The FA values vary from 0 to 1 and putatively reflect WM spatial organization and integrity (Basser and Pierpaoli 2011). Finally, the gradient direction of each DTI volume was rotated according to the resultant affine transformations (Leemans and Jones, 2009). Whole‐brain fiber tracking was performed using the diffusion toolkit in the DTI native space (FA map) for each subject with fiber assignment by continuous tracking algorithm.…”
Section: Methodsmentioning
confidence: 99%
“…The B‐matrices were also rotated (Leemans & Jones, 2009). A brain mask was created from the diffusion‐weighted image with b‐value of zero, using the FSL's brain extraction tool (Smith, 2002).…”
Section: Methodsmentioning
confidence: 99%