2021
DOI: 10.1016/j.neuroimage.2021.118384
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Can 7T MPRAGE match MP2RAGE for gray-white matter contrast?

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Cited by 21 publications
(19 citation statements)
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“…Thus, if the learning-related structural changes observed in similar experimental designs based on MPRAGE sequences were predominantly of vascular origin, they would have been mostly cancelled out had MP2RAGE been used instead. Remarkably, even though the MP2RAGE sequence has been available for over 10 years (Marques et al 2010) and it is becoming the recommended sequence for gray-white matter segmentation (Droby et al 2021; Oliveira et al 2021), no published studies have, to the best of our knowledge, shown longitudinal training-related structural changes on a similar time-scale using this MR sequence, which may be a symptom of its lower sensitivity to vascular alterations. Nevertheless, this interpretation remains speculative, and more research will be needed to elucidate this question.…”
Section: Discussionmentioning
confidence: 99%
“…Thus, if the learning-related structural changes observed in similar experimental designs based on MPRAGE sequences were predominantly of vascular origin, they would have been mostly cancelled out had MP2RAGE been used instead. Remarkably, even though the MP2RAGE sequence has been available for over 10 years (Marques et al 2010) and it is becoming the recommended sequence for gray-white matter segmentation (Droby et al 2021; Oliveira et al 2021), no published studies have, to the best of our knowledge, shown longitudinal training-related structural changes on a similar time-scale using this MR sequence, which may be a symptom of its lower sensitivity to vascular alterations. Nevertheless, this interpretation remains speculative, and more research will be needed to elucidate this question.…”
Section: Discussionmentioning
confidence: 99%
“…The small difference in in-plane acceleration used here is not expected to lead to different amounts of g-factor noise across the ROIs for the current 32-channel coil (Hendriks, Luijten, Klomp, & Petridou, 2019;Wiggins et al, 2006). Third, RFpower optimization was done over the whole brain, which leads to overtipping in the center and undertipping in the temporal poles and cerebellum (Oliveira, Roos, Dumoulin, Siero, & van der Zwaag, 2021).…”
Section: Discussionmentioning
confidence: 99%
“…k T ‐point excitation pulses 39 were calculated based on the small‐flip‐angle interleaved greedy‐local optimization method, originally intended for spokes (code available for download at https://bitbucket.org/wgrissom/acptx/). 46–48 The following magnitude least‐squares 49 problem was solved: trueargminK,b,ϕ12‖‖c=18ScboldA(K)bcgoodbreak−boldd(ϕ)2+normalλ2b2$$ \kern0.5em \underset{\mathbbm{K},\mathbf{b},\boldsymbol{\upphi}}{\arg\;\min}\left\{\frac{1}{2}{\left\Vert \sum \limits_{c=1}^8{\mathbf{\mathcal{S}}}_c\mathbf{A}\left(\mathbbm{K}\right){\mathbf{b}}_c-\mathbf{d}\left(\boldsymbol{\upphi} \right)\right\Vert}^2+\frac{\uplambda}{2}{\left\Vert \mathbf{b}\right\Vert}^2\right\} $$ where Sc=normaldiag()normalvec()Sc(x)Nx×Nx$$ {\mathbf{\mathcal{S}}}_c=\operatorname{diag}\left(\mathrm{vec}\left({\mathbf{S}}_c\left(\mathbf{x}\right)\right)\right)\in {\mathbb{C}}^{N_x\times {N}_x} $$ is the matrix with the complex B1+$$ {\mathrm{B}}_1^{+} $$ maps Sc(rtrue→)$$ {\mathbf{S}}_c\left(\overrightarrow{r}\right) $$ from Eq. () at the Nx$$ {N}_x $$ spatial locations boldx$$ ...…”
Section: Methodsmentioning
confidence: 99%
“…k T -point excitation pulses 39 were calculated based on the small-flip-angle interleaved greedy-local optimization method, originally intended for spokes (code available for download at https://bitbucket.org/wgrissom/acptx/). [46][47][48] The following magnitude least-squares 49 problem was solved:…”
Section: K T -Point Excitationmentioning
confidence: 99%