2015
DOI: 10.1002/mrm.26021
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Fast three‐dimensional inner volume excitations using parallel transmission and optimized k‐space trajectories

Abstract: Purpose To design short parallel transmission (pTx) pulses for excitation of arbitrary three-dimensional (3D) magnetization patterns. Methods We propose a joint optimization of the pTx radiofrequency (RF) and gradient waveforms for excitation of arbitrary 3D magnetization patterns. Our optimization of the gradient waveforms is based on the parameterization of k-space trajectories (3D shells, stack-of-spirals, and cross) using a small number of shape parameters that are well-suited for optimization. The resul… Show more

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Cited by 17 publications
(24 citation statements)
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“…4,[10][11][12] Therefore, dynamic pTx pulses provide more degrees of freedom and, thus, higher potential to produce uniform FA patterns than static pTx pulses. Several techniques to design dynamic pTx pulses have been proposed including slice/slab selective, 13,14 tailored 3D volume excitation, 15,16 and nonselective 17,18 pulses.…”
Section: Introductionmentioning
confidence: 99%
“…4,[10][11][12] Therefore, dynamic pTx pulses provide more degrees of freedom and, thus, higher potential to produce uniform FA patterns than static pTx pulses. Several techniques to design dynamic pTx pulses have been proposed including slice/slab selective, 13,14 tailored 3D volume excitation, 15,16 and nonselective 17,18 pulses.…”
Section: Introductionmentioning
confidence: 99%
“…ΔB 0 also has undesired effects on RF excitation pulses, including lipid saturation, RF inversion and VERSE pulses (Hargreaves et al, 2004). For 7 T functional brain studies, the most problematic effect from ΔB 0 during excitation is probably the contrast changes in T 1 -weighted MPRAGE in poorly shimmed areas which has compelled the use of off-resonance tolerant RF inversion pulses (Wrede et al, 2012) and parallel transmit pulse design optimizations which either utilize the ΔB 0 map during pulse design (Grissom et al, 2006) or trajectory design (Schneider et al, 2014; Davids et al, 2016) or optimize the design over a range of frequencies (Setsompop et al, 2009). …”
Section: Introductionmentioning
confidence: 99%
“…This work was initially motivated by the observation that spatial domain parallel pulse designs can be very slow for 3D problems with large grid sizes, requiring many iterations with considerable computation per iteration. It is anticipated that the proposed k-space domain algorithm will be most useful for these types of large >2D problems, which include 3D spatial designs 11,12 and 2D and 3D spatial-spectral designs [13][14][15][16] where full matrix construction and inversion is infeasible due to the problem size, and an iterative design can require several minutes to solve. Furthermore, unlike an iterative spatial domain design the proposed algorithm does not need to be repeated if the target pattern changes.…”
Section: Applications and Extensionsmentioning
confidence: 99%