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Developing MRI pulse sequences demands to access proprietary sequences, to open up parts of the code provided by the manufacturer, and to deal with intellectual property issues. To address these limitations, we have provided the community with GinkgoSequence, a modular and open-source MRI pulse sequence development framework for Siemens devices. In this work, we present the addition of a new diffusion-weighted sequences development toolbox in the existing GinkgoSequence framework. It includes trapezoidal and free-waveform diffusion gradients, fat saturation, echo-planar reading, partial Fourier and GRAPPA accelerations, and stimulated echo acquisition mode (STEAM). To assess its quality, it has been tested in-vivo.
Artiges et al. (Wed,) studied this question.