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MR Gradient System Long-Term Stability Investigation and Protocol Optimization for Quality Control using Gradient Impulse Response Function (GIRF)

<p>The dataset of the abstract &quot;MR Gradient System Long-Term Stability Investigation and Protocol Optimization for Quality Control using Gradient Impulse Response Function (GIRF)&quot; for&nbsp;ISMRM 2022, London, UK. The data processing code with instructions could be found&nbsp;<a href="https://github.com/BRAIN-TO/girfISMRM2022">here</a>.</p> <p>&nbsp;</p> <p>Meas1.zip and&nbsp;Meas2.zip contain the first and the second measurements of the raw T2* decay signal acquired with the phantom-based method. Note that the coil dimension has been averaged to save data volume for demonstration purposes. This will lead to a lower SNR of the calculated output gradient and GIRF.</p> <p>&nbsp;</p> <p>CalculatedGIRF.zip provides the author&#39;s pre-calculated GIRFs using the data without coil averaging. This data is used for all the postprocessing (e.g. SNR and stability&nbsp;analysis, etc.) in the published abstract with the source code provided in the same Github repository.</p> <p>&nbsp;</p>

ShareScore

40/100

Overall dataset sharing score

Score breakdown

These five areas show where the dataset supports — or may limit — practical reuse.

Stewardship
8
Harmonization
8
Access
16
Reuse readiness
8
Engagement
0

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