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Abstract #1844

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

Qingping Chen1, Patrick Hucker1, Mojtaba Shafiekhani1, and Maxim Zaitsev1
1Division of Medical Physics, Department of Diagnostic and Interventional Radiology, University Medical Center Freiburg, Faculty of Medicine, University of Freiburg, Freiburg, Germany

Synopsis

Keywords: Software Tools, Data Acquisition, Workflow; Pulseq

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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