Open-source Pulseq sequences on Philips MRI scanners

TL;DR

This paper demonstrates the successful implementation of an open-source Pulseq sequence interpreter on Philips MRI scanners, enabling easier development and sharing of MRI sequences for research purposes.

Contribution

The work introduces a Pulseq interpreter for Philips MRI systems, expanding open-source MRI sequence development to this platform.

Findings

Reconstructed images were comparable to native sequences.

Pulseq interpreter showed minimal CPU resource usage.

Validated with simulations and phantom scans.

Abstract

Purpose: This work aims to address the limitations faced by researchers in developing and sharing new MRI sequences by implementing an interpreter for the open-source MRI pulse sequence format, Pulseq, on a Philips MRI scanner. Methods: The implementation involved modifying a few source code files to create a Pulseq interpreter for the Philips MRI system. Validation experiments were conducted using simulations and phantom scans performed on a 7T Achieva MRI system. The observed sequence and waveforms were compared to the intended ones, and the gradient waveforms produced by the scanner were verified using a field camera. Image reconstruction was performed using the raw k-space samples acquired from both the native vendor environment and the Pulseq interpreter. Results: The reconstructed images obtained through the Pulseq implementation were found to be comparable to those obtained through the native implementation. The performance of the Pulseq interpreter was assessed by profiling the CPU utilization of the MRI spectrometer, showing minimal resource utilization for certain sequences. Conclusion: The successful implementation of the Pulseq interpreter on the Philips MRI scanner demonstrates the feasibility of utilizing Pulseq sequences on Philips MRI scanners. This provides an open-source platform for MRI sequence development, facilitating collaboration among researchers and accelerating scientific progress in the field of MRI.