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本数据集为可配合Gadgetron并行框架（Gadgetron Parallel Framework）的开源代码使用的演示数据集，对应开源代码仓库为ZihanNing/Practical_Inline_Recon_Framework-public：一款用于简化已成熟离线磁共振（MR）重建内嵌式部署的实用框架。 SENSE（灵敏度编码，Sensitivity Encoding）重建演示（路径：/Gadgetron/Parallel_Framework/SENSE_Recon_Demo）：RAW_SWI_forSENSE_integratedACS.dat AlignSENSE重建演示（路径：/Gadgetron/Parallel_Framework/AlignSENSE_Recon_Demo）： 带自动校准线的T1加权磁化准备快速梯度回波（T1-MPRAGE）数据集：RAW_T1_MPRAGE_forAlignSENSE_seperateACS.dat 带外部参考扫描的磁敏感加权成像（SWI）： 外部参考扫描文件：RAW_external_REF_forAlignSENSE_alignedSWIsmallFOV.dat 磁敏感加权成像数据集：RAW_SWI_forAlignSENSE_smallFOV_seperateACS.dat 径向非均匀快速傅里叶变换（radial NUFFT）重建演示（路径：/Gadgetron/Parallel_Framework/radial_NUFFT_Demo）：RAW_radial_multiechoGRE_Sodium_Invivo.dat 如需了解该代码与使用说明的详细信息，请参考： 代码仓库：ZihanNing/Practical_Inline_Recon_Framework-public：一款用于简化已成熟离线磁共振重建内嵌式部署的实用框架 用户手册：Notion平台上的Gadgetron并行框架用户手册 若使用本数据集或该开源框架，请引用以下论文： Ning Z 等. 无痛实现离线到内嵌式部署：基于Gadgetron平台将离线磁共振重建转化为内嵌式部署的实用框架[J]. Magn Reson Med, 2026. https://doi.org/10.1002/mrm.70304