Magnetic Resonance Imaging (MRI) is a critical component of healthcare. MRI data is acquired by playing a series of radio-frequency and magnetic field gradient pulses. Designing these pulse sequences requires knowledge of specific programming environments depending on the vendor hardware (generations) and software (revisions) intended for implementation. This impedes the pace of prototyping. Pulseq In this work, we introduce PyPulseq, which enables pulse sequence programming in Python. Its advantages are zero licensing fees and easy integration with deep learning methods developed in Python. PyPulseq is aimed at MRI researchers, faculty, students, and other allied field researchers such as those in neuroscience. We have leveraged this tool for several published research works (Poojar, Geethanath, Reddy, & Venkatesan, n.d.;
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Ravi et al. (2019) studied this question.
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