Journal
JOURNAL OF MAGNETIC RESONANCE
Volume 261, Issue -, Pages 157-168Publisher
ACADEMIC PRESS INC ELSEVIER SCIENCE
DOI: 10.1016/j.jmr.2015.10.012
Keywords
Diffusion MR; Generalized gradient waveforms; Q-space trajectory imaging; Optimization; Hardware constraints
Funding
- Swedish Research Council (VR) [2012-4281, 2012-3682, 2011-5176, 2014-3910]
- Swedish Foundation for Strategic Research (SSF) [AM13-0090]
- EUREKA ITEA BENEFIT Grant [2014-00593]
- NIH [R01MH074794, P41EB015902]
- Linneaus center CADICS
Ask authors/readers for more resources
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. (C) 2015 Elsevier Inc. All rights reserved.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available