2021
DOI: 10.1038/s41598-021-94692-6
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Reducing SAR in 7T brain fMRI by circumventing fat suppression while removing the lipid signal through a parallel acquisition approach

Abstract: Ultra-high-field functional magnetic resonance imaging (fMRI) offers a way to new insights while increasing the spatial and temporal resolution. However, a crucial concern in 7T human MRI is the increase in power deposition, supervised through the specific absorption rate (SAR). The SAR limitation can restrict the brain coverage or the minimal repetition time of fMRI experiments. In the majority of today’s studies fMRI relies on the well-known gradient-echo echo-planar imaging (GRE-EPI) sequence, which offers … Show more

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Cited by 4 publications
(6 citation statements)
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“…An alternative low-SAR fat saturation approach that leverages parallel acceleration techniques has been suggested and verified in echo planar head imaging. 43 …”
Section: Technological Challenges and Image Optimizationmentioning
confidence: 99%
See 1 more Smart Citation
“…An alternative low-SAR fat saturation approach that leverages parallel acceleration techniques has been suggested and verified in echo planar head imaging. 43 …”
Section: Technological Challenges and Image Optimizationmentioning
confidence: 99%
“…3), at the cost of some reduction of the water signal, in particular in areas of B0 inhomogeneity. An alternative low-SAR fat saturation approach that leverages parallel acceleration techniques has been suggested and verified in echo planar head imaging 43 …”
Section: Technological Challenges and Image Optimizationmentioning
confidence: 99%
“…This MUSE‐like water/fat‐resolved algorithm will be referred to as “water‐fat MUSE”. Water/fat components can be disentangled by solving the SENSE‐based water/fat separation 43–45 using a similar system as in Equation 3), dropping B 0 ( ΨtruêB) and diffusion phase ( trueΦ̂) operators and calculating water/fat images for each chemical shift‐encoding point n and each shot l. Solving for N chemical shift‐encoding points and L shots data simultaneously, the joint system can be constructed as: trueS=normalItruênormalItruêtrueF̂00normalΨtruêftrueF̂normalCtruêl00normalCtruêlnormalΡtrue∼wnormalΡtrue∼f=trueÂnormallnormalXtrue∼, where the coil sensitivity operator Ctruêl is slightly modified to disable the shot combination step (i.e., every shot data will be treated as an independent undersampled case), trueX=Ρtrue∼wΡtrue∼f…”
Section: Theorymentioning
confidence: 99%
“…However, in EPI images without fat suppression, the spatial displacement of fat signals should also be addressed for proper phase extraction. One solution is to use a sensitivity encoding for fast MRI (SENSE)‐based water/fat separation 43 , 44 , 45 instead of conventional SENSE in the MUSE implementation. This MUSE‐like water/fat‐resolved algorithm will be referred to as “water‐fat MUSE”.…”
Section: Theorymentioning
confidence: 99%
“…However, increasing the frequency of operation signifies that the wavelength is reduced, which, in combination with the frequency dependency of the electrical properties of materials [ 4 , 5 , 6 ], reduces the effectiveness of the RF transmission (|B 1 + |) field inside the imaging target [ 7 , 8 , 9 , 10 , 11 ]. This results in field non-uniformity and the production of local hot spots of absorbed energy, as measured by the specific absorption rate (SAR) [ 12 , 13 , 14 ].…”
Section: Introductionmentioning
confidence: 99%