{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,26]],"date-time":"2026-09-26T03:27:54Z","timestamp":1790393274742,"version":"4.1.0"},"reference-count":50,"publisher":"Wiley","issue":"4","license":[{"start":{"date-parts":[[2026,6,4]],"date-time":"2026-06-04T00:00:00Z","timestamp":1780531200000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"},{"start":{"date-parts":[[2026,6,4]],"date-time":"2026-06-04T00:00:00Z","timestamp":1780531200000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/doi.wiley.com\/10.1002\/tdm_license_1.1"}],"funder":[{"DOI":"10.13039\/100010447","name":"Deutsches Zentrum f\u00fcr Herz-Kreislaufforschung","doi-asserted-by":"publisher","award":["81X4300119"],"award-info":[{"award-number":["81X4300119"]}],"id":[{"id":"10.13039\/100010447","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000002","name":"National Institutes of Health","doi-asserted-by":"publisher","award":["U24EB029240"],"award-info":[{"award-number":["U24EB029240"]}],"id":[{"id":"10.13039\/100000002","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Magnetic Resonance in Med"],"published-print":{"date-parts":[[2026,10]]},"abstract":"<jats:title>ABSTRACT<\/jats:title>\n                  <jats:sec>\n                    <jats:title>Purpose<\/jats:title>\n                    <jats:p>To create modular solutions for interactive real\u2010time MRI using reconstruction algorithms implemented in BART.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>A new protocol for streaming of multidimensional arrays is presented and integrated into BART. The new functionality is demonstrated using examples for cardiac interactive real\u2010time MRI based on radial FLASH, where iterative reconstruction is combined with advanced features such as dynamic coil compression and gradient\u2010delay correction. We analyze the latency of the reconstruction and measure end\u2010to\u2010end latency of the full imaging process.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>Reconstruction pipelines with iterative reconstruction and advanced functionality were built in a modular way using scripting. Latency measurements demonstrate latency sufficient for interactive real\u2010time MRI, on the order of 30\u2009ms for BART processing and network transfer time, or 200\u2009ms for end\u2010to\u2010end latency including acquisition, vendor processing, and display.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion<\/jats:title>\n                    <jats:p>With the new streaming capabilities, real\u2010time reconstruction pipelines can be assembled using BART in a flexible way, enabling rapid prototyping of advanced applications such as interactive real\u2010time MRI.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1002\/mrm.70455","type":"journal-article","created":{"date-parts":[[2026,6,5]],"date-time":"2026-06-05T04:53:27Z","timestamp":1780635207000},"page":"1534-1544","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["<scp>BART<\/scp>\n          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