Constrained optimization of gradient waveforms for generalized diffusion encoding.

Jens Sjölund, Filip Szczepankiewicz, Markus Nilsson, Daniel Topgaard, Carl-Fredrik Westin, Hans Knutsson

Forskningsoutput: TidskriftsbidragArtikel i vetenskaplig tidskriftPeer review

61 Citeringar (SciVal)

Sammanfattning

Diffusion MRI is a useful probe of tissue microstructure. The conventional diffusion encoding sequence, the single pulsed field gradient, has recently been challenged as more general gradient waveforms have been introduced. Out of these, we focus on q-space trajectory imaging, which generalizes the scalar b-value to a tensor valued entity. To take full advantage of its capabilities, it is imperative to respect the constraints imposed by the hardware, while at the same time maximizing the diffusion encoding strength. We provide a tool that achieves this by solving a constrained optimization problem that accommodates constraints on maximum gradient amplitude, slew rate, coil heating and positioning of radio frequency pulses. The method's efficacy and flexibility is demonstrated both experimentally and by comparison with previous work on optimization of isotropic diffusion sequences.
Originalspråkengelska
Sidor (från-till)157-168
TidskriftJournal of Magnetic Resonance
Volym261
DOI
StatusPublished - 2015

Ämnesklassifikation (UKÄ)

  • Radiologi och bildbehandling

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