2020
DOI: 10.1016/j.neuroimage.2019.116337
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Robust single-shot acquisition of high resolution whole brain ASL images by combining time-dependent 2D CAPIRINHA sampling with spatio-temporal TGV reconstruction

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Cited by 31 publications
(46 citation statements)
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“…Both imaging coverage and temporal resolution of the proposed technique can be further improved by utilizing accelerated image acquisition and constrained reconstructions (52,53). It is also feasible to perform perfusion based functional connectivity analysis of brain network dynamics with increased coverage and temporal resolution (54).…”
Section: Discussionmentioning
confidence: 99%
“…Both imaging coverage and temporal resolution of the proposed technique can be further improved by utilizing accelerated image acquisition and constrained reconstructions (52,53). It is also feasible to perform perfusion based functional connectivity analysis of brain network dynamics with increased coverage and temporal resolution (54).…”
Section: Discussionmentioning
confidence: 99%
“…The differentiation between the two compartment is reliable given the large diffusion coefficient difference (∼100-fold) between the intra-and extravascular compartments (Shao et al, 2019). kw map was calculated by a total-generalized-variation (TGV) (Spann et al, 2020) regularized single-pass-approximation (SPA) model (St Lawrence et al, 2012) using the tissue (or capillary) fraction of the ASL signal at the PLD of 1,800 ms, incorporating ATT, T1 of arterial blood [1.66 s (Lu et al, 2004)] and brain tissue as inputs for the algorithm (Shao et al, 2019). Voxel-wise tissue T1 map was fitted from background suppressed control images acquired at 2 PLDs .…”
Section: Discussionmentioning
confidence: 99%
“…WM masks were also eroded to avoid partial volume effect between CSF or GM. To improve the spatial resolution and sensitivity to detect kw changes in small ROIs, accelerated single-shot GRASE sequence and spatio-temporal regularized reconstruction might be utilized (Spann et al, 2020).…”
Section: Discussionmentioning
confidence: 99%
“…For DP‐pCASL, the tissue and capillary compartments of the ASL signal were separated by a small diffusion gradient of 50 s/mm 2 . The k w map was calculated by a total‐generalized‐variation (TGV) 27 regularized SPA model 17 using the tissue (or capillary) fraction of the ASL signal at the PLD of 1800 ms, incorporating ATT, T1 of arterial blood and brain tissue as inputs for the algorithm 18 . Arterial blood T1 was assumed to be 1.66 s, which is commonly used for CBF quantification 28 .…”
Section: Methodsmentioning
confidence: 99%