Impact: This work provides a vendor-agnostic way of implementing multiple GIRF acquisitions through an open-source pulse programming platform. This framework also includes a radial sequence that was tested against a vendor-based version for exploration of an optimal GIRF-based reconstruction.

Impact: An easy to use, open-source tool enables Gradient Impulse Response Function (GIRF) measurement and calculation up to third- order spherical harmonics for advanced system characterisation and correction, without the need for additional field camera hardware.

Impact: MR applications can be programmed purely in Python and can be seamlessly integrated into an MR exam.
The connection of the work of the Python community to an MR examination boosts the productivity of MR application developers.

Impact: Previous Pulseq interpreters were implemented in scanner-version specific environments and were limited to replaying pre-calculated Pulseq text files. Here, we present an implementation that demonstrates the feasibility of scanner interaction with a live PyPulseq module and sequence streaming over network.

Impact: ScanHub provides an open, cloud-native platform for scanner control, reconstruction workflow orchestration, and visualization of MRI data, enabling efficient remote operation of point-of-care low-field systems, reducing infrastructure demands, and fostering accessible, interoperable, and collaborative imaging.

Impact: This work enables accurate, artifact-free off-center MRI by combining phase-counter based FOV positioning with gradient delay correction. This vendor-neutral method improves image quality across sequences and platforms, allowing for broader application in research and clinical imaging without requiring hardware modifications.

Impact: The use of a double angle method with EPI readout enables direct mapping of the local transmit field produced by pTx spokes pulses. This facilitates pulse and sequence development and quality assessment and closes the gap between simulation and reality.

Impact: In the spirit of open-source and reproducible research, we present a vendor-agnostic 3D MR-STAT implementation using Pulseq, enabling standardized, rapid quantitative MRI across different scanner platforms. This promotes reproducibility in multi-center studies and accelerates the clinical translation of quantitative imaging.

Impact: This study demonstrates the first implementation of cardiac Magnetic Resonance Fingerprinting at 5T using Open-Source Pulseq sequences. The results establish 5T as a promising field strength for quantitative cardiac MRI, enabling reproducible high-resolution mapping with improved B₁⁺ robustness.

Impact: This work demonstrates that RoSa based diffusion imaging accelerations can be applied to cardiac DTI, which allows for making use of the advantages of PROPELLER EPI acquisitions without the associated imaging time drawbacks.

Impact: 
Diffusion‐weighted MREG at TR=250 ms demonstrates sufficient SNR to detect functional activation in the visual cortex even with moderate diffusion weighting. DW-MREG is a promising first step to explore how physiological processes influence diffusion changes in the brain.

Impact: The developed booster coil (BC) autotune system allows for fully automated tuning and as such SNR optimization of the BC to compensate for different loads, especially for small samples. Its broad-band capabilities allow application at different field strength and nuclei.

Impact: Compiler-Level Reverse-Mode GPU-accelerated automatic differentiation enables inline subject-specific RF pulse design in less than 5 seconds.

Impact: Single-shot radial EPI delivers distortion-free EPI, higher tSNR, and per-repetition B₀ mapping from a single excitation. It enables respiration-tracked field monitoring and robust image quality without geometric warping, offering a practical path to new fMRI applications.

Impact: This study compares vendor-supplied and open-source cardiac ³¹P-MRS quantification software, revealing similar averages but software-specific variability, highlighting the need for standardized analysis protocols to ensure reproducibility and cross-center comparability.

Impact: We introduce a comprehensive, rapid, and open-source RF coil design simulator. It is poised to enable rapid design iteration that are currently infeasible and lower the barrier for widespread adoption of advanced RF coil modeling in the MRI community.