What type of study is this?

This is a Experimental Study study.

September 17, 2025

Open-source, Flexible, and Reproducible Workflow for Data Acquisition, Reconstruction, and Post-processing Based on Pulseq and Open Recon

Key Points

The integration of Pulseq with Open Recon successfully generates complex images from raw data, improving flexibility.
Functionality demonstrated for four specific sequences: GRE, GRE with GRAPPA, TSE, and multi-echo spin echo.
Utilizing open-source technologies enables researchers to bypass restrictive vendor systems and adopt innovative approaches.
This validated workflow promotes reproducibility and adaptability, essential for advancing imaging research.

Abstract

Motivation: Vendor-provided image reconstruction is seen by researchers as a black box and is oftentimes restrictive with regard to supporting novel acquisition strategies or including cutting edge third-party software libraries. Goal(s): To implement an open-source data acquisition, reconstruction, and post-processing pipeline. Approach: We combine vendor-neutral sequence programming in Pulseq with vendor's "Open Recon" environment. Results: We demonstrate the functionality of raw-data-to-complex-image and image-to-image Open Recon containers for four Pulseq sequences: GRE, GRE with GRAPPA, TSE and multi-echo spin echo. Impact: We demonstrate a successful integration of Pulseq with Open Recon, thereby establishing an open-source, flexible, and reproducible workflow for data acquisition, reconstruction, and post-processing, and validate this workflow with four example sequences.

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