Abstract #0397

Reproducibility of the bSTAR sequence and open-source implementation

Nam G Lee¹, Grzegorz Bauman², Oliver Bieri², and Krishna S Nayak³

¹Biomedical Engineering, University of Southern California, Los Angeles, CA, United States, ²Department of Radiology, University of Basel Hospital, Basel, Switzerland, ³Electrical and Computer Engineering, University of Southern California, Los Angeles, CA, United States

Synopsis

Keywords: Lung, Low-Field MRIThe reproducibility of scientific reports is crucial to advancing human knowledge. This abstract is a response to the 2023 ISMRM Challenge “Repeat it With Me: Reproducibility Team Challenge”. We reproduce the bSTAR sequence, a very short-TR, 3D half-radial dual-echo bSSFP sequence, providing banding-artifact free images within a large FOV. bSTAR imaging is attractive for various applications at low field and especially attractive for lung parenchyma imaging due to the prolonged T2’. We have successfully reproduced the bSTAR method, and figures with comparable image quality compared to published literature. We provide an open-source implementation using Pulseq and BART.

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