Sparsity-Enforced Slice-Selective MRI RF Excitation Pulse Design

We introduce a novel algorithm for the design of fast slice-selective spatially-tailored magnetic resonance imaging (MRI) excitation pulses. This method, based on sparse approximation theory, uses a second-order cone optimization to place and modulate a small number of slice-selective sinc-like radi...

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Veröffentlicht in:	IEEE transactions on medical imaging 2008-09, Vol.27 (9), p.1213-1229
Hauptverfasser:	Zelinski, Adam C., Wald, Lawrence L., Setsompop, Kawin, Goyal, Vivek K, Adalsteinsson, Elfar
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithm design and analysis Algorithms Approximation methods B_{1} inhomogeneity mitigation Brain - anatomy & histology Design high field strength Humans Image Enhancement - methods Image Interpretation, Computer-Assisted - methods Imaging phantoms Imaging, Three-Dimensional - methods Magnetic modulators Magnetic resonance imaging magnetic resonance imaging (MRI) radio-frequency (RF) pulse sequence design Magnetic Resonance Imaging - methods Magnetization Mean square errors Optimization methods parallel transmission Pulse generation Pulse modulation Radio frequency Signal Processing, Computer-Assisted sparse approximation Sparsity three-dimensional (3-D) RF excitation
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