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This work aimed to mitigate these challenges through an open\u2010source, vendor\u2010independent workflow originally developed for the 2023\u201324 ISMRM\n                      <jats:italic>Repeat It with Me: Reproducibility Team Challenge<\/jats:italic>\n                      .\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>Pulseq, extended with advanced features including LABELs and Sequence Definitions for k\u2010space description and execution instructions, was used to harmonize data acquisition. Pulseq\u2010generated raw k\u2010space data were converted into the MRD format using these metadata. Open\u2010source, vendor\u2010independent image reconstruction and post\u2010processing were performed with Gadgetron. Additionally, vendor\u2010native online reconstructions on Siemens platforms (ICE and OpenRecon) were enabled for Pulseq\u2010based sequences. The workflow was validated using MPRAGE and EPI protocols in phantoms and in vivo across nine scanners from five sites and four vendors. Vendor\u2010native acquisition and reconstruction protocols were executed for comparison.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>Pulseq\u2010based sequences executed successfully on all systems, with all data converted and reconstructed without errors. Pulseq\u2010based, Gadgetron\u2010reconstructed images showed good agreement with corresponding vendor\u2010native images across scanners; however, qualitative and quantitative differences remained. Despite detailed natural\u2010language descriptions and meticulous console configuration, vendor\u2010native protocols introduced subtle but notable cross\u2010platform differences in sequence execution and reconstruction. In contrast, the proposed workflow achieved highly consistent sequence execution via Pulseq and standardized reconstruction through Gadgetron across scanners.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion<\/jats:title>\n                    <jats:p>We established an open\u2010source MRI workflow that harmonizes data acquisition, formatting, and reconstruction across sites and vendors. This workflow represents a critical step toward fully open and reproducible MRI, facilitating transparency, standardization, and collaboration across the research community.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1002\/mrm.70548","type":"journal-article","created":{"date-parts":[[2026,8,6]],"date-time":"2026-08-06T08:46:22Z","timestamp":1786005982000},"page":"2721-2738","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["An Open\u2010Source, Reproducible\n                    <scp>MRI<\/scp>\n                    Data Acquisition and Reconstruction Workflow Using Pulseq: Multi\u2010Site and Cross\u2010Vendor Validation"],"prefix":"10.1002","volume":"96","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-8719-7672","authenticated-orcid":false,"given":"Qingping","family":"Chen","sequence":"first","affiliation":[{"name":"Division of Medical Physics, Department of Radiology, University Medical Center Freiburg, Faculty of Medicine University of Freiburg  Freiburg Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3465-7794","authenticated-orcid":false,"given":"Thomas H. 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