GradientTools

Demonstrations.nb ››
Guide page ›› Code on Github ››

The main feature is an algorithm that uses static repulsion (Jones, Horsfield, and Simmons 1999; Froeling et al. 2017) to generate homogeneously distributed gradient directions for DWI experiments which is also availible as a standalone tool which can be found here or here. It also provides functions to convert bval and bvec files to bmatrix and vice versa. Back››

diffusion gradient optimiazation

gradient duty cycle optimization

References

  • Froeling, Martijn, Chantal M. W. Tax, Sjoerd B. Vos, Peter R. Luijten, and Alexander Leemans. 2017. “MASSIVE brain dataset: Multiple acquisitions for standardization of structural imaging validation and evaluation.” Magnetic Resonance in Medicine 77 (5). Milan: 1797–1809. link››.