Gadgetron Parallel Framework Corresponding Demo Datasets

This is the demo datasets that can be used with the open-sourced code for the Gadgetron Parallel Framework: ZihanNing/Practical_Inline_Recon_Framework-public: A practical framework to ease inline deployment of established offline MR reconstruction SENSE demo (/Gadgetron/Parallel_Framework/SENSE_Recon_Demo): RAW_SWI_forSENSE_integratedACS.dat AlignSENSE demo (/Gadgetron/Parallel_Framework/AlignSENSE_Recon_Demo): T1-MPRAGE with auto-calibration lines: RAW_T1_MPRAGE_forAlignSENSE_seperateACS.dat SWI with external reference scan external reference scan: RAW_external_REF_forAlignSENSE_alignedSWIsmallFOV.dat SWI: RAW_SWI_forAlignSENSE_smallFOV_seperateACS.dat radial NUFFT demo (/Gadgetron/Parallel_Framework/radial_NUFFT_Demo): RAW_radial_multiechoGRE_Sodium_Invivo.dat For detailed information about the code and instructions, please refer to: git repo: ZihanNing/Practical_Inline_Recon_Framework-public: A practical framework to ease inline deployment of established offline MR reconstruction user manual: User manual in Notion for the Gadgetron Parallel Framework Please cite the paper if you use the data or the open-sourced framework: Ning Z, et al. From offline to inline without pain: A practical framework for translating offline MR reconstructions to inline deployment using the Gadgetron platform. Magn Reson Med. 2026. https://doi.org/10.1002/mrm.70304