1989
DOI: 10.1016/0022-2364(89)90109-1
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Slice selection with gradient-modulated adiabatic excitation despite the presence of large B1 inhomogeneities

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Cited by 27 publications
(19 citation statements)
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“…However, Fig. 2 shows this not to be the case for gradient-modulated waveforms (i.e., when the second dimension g is added to the optimization), consistent with observations reported in previous studies (4,5 ) . Although in the present study no appreciable difference was observed in the simulation and experimental results obtained using sin/cos or tanh/sech as NOM input functions, these findings do not preclude the existence of a better choice of input function, especially for different ranges of optimization parameters u and g.…”
Section: Discussionsupporting
confidence: 89%
See 1 more Smart Citation
“…However, Fig. 2 shows this not to be the case for gradient-modulated waveforms (i.e., when the second dimension g is added to the optimization), consistent with observations reported in previous studies (4,5 ) . Although in the present study no appreciable difference was observed in the simulation and experimental results obtained using sin/cos or tanh/sech as NOM input functions, these findings do not preclude the existence of a better choice of input function, especially for different ranges of optimization parameters u and g.…”
Section: Discussionsupporting
confidence: 89%
“…Recently, two gradient-modulated slice-selection techniques, namely GMAX (4) and BISS-8 (5), have been introduced. GMAX relies on the cancellation of the out-of-slice signal be-tween excitations in opposite directions of nutation, hence requiring a minimum of two excitations (i.e., averaging in multiples of 2).…”
Section: Introductionmentioning
confidence: 99%
“…(18) demands that F 3 (t) is not proportional to F 2 (t). The theoretical development for the case in which these functions are proportional to each other, as in GMAX 43,56 and BISS-8, 16 will be addressed in forthcoming work.…”
Section: Gradient-modulated Offset-independent Adiabaticity (Goia)mentioning
confidence: 99%
“…A procedure known as the numerically optimized modulation (NOM) method offers the possibility to obtain driving functions which yield optimal adiabaticity across a specified range of ω max 1 and/or values (7,64,67). By this latter approach, the time-dependence of the AM and FM functions is distorted to ensure that the level of adiabaticity (across the desired range of ω max 1 and values) does not fall below a certain threshold level at any time during the pulse.…”
Section: Iiia Adiabaticitymentioning
confidence: 99%