MRI datasets used in the manuscript: "An End-to-End AI-Based Framework for Automated Discovery of Rapid CEST/MT MRI Acquisition Protocols and Molecular Parameter Quantification (AutoCEST)"
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The data comprises raw and analyzed .mat format images (can be read by Python, Matlab, and other software).<br>The images were acquired using a 9.4T preclinical MRI, on chemical exchange saturation transfer (CEST) in-vitro models (phantoms) and in-vivo mice including:1) Iohexol2) Phosphocreatine (pCr)3) Bovine serum albumin (BSA)4) L-arginine5) MT/Amide brain imaging of wild-type mice<br>Detailed datasets properties are available in the below mentioned reference.<br>Please cite the manuscript's reference in case the data are being used.<br><br>
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figshare创建时间：
2021-11-04
