Supporting material for: "Free breathingly acquired myocardial perfusion data sets for performance analysis of motion compensation algorithms".

Perfusion quantification by using first-pass gadolinium-enhanced myocardial perfusion magnetic resonance imaging (MRI) has proved to be a reliable tool for the diagnosis of coronary artery disease that leads to reduced blood flow to the myocardium. <br> Here we present the free breathing perfusion MRI series of ten patients considered clinically to have a stress perfusion defect. For each patient a rest and a stress study was executed. Manual segmentations of the left ventricle myocardium and the right-left ventricle insertion point are provided for all images in order to make a unified validation of the motion compensation algorithms and the perfusion analysis possible. In addition, all the scripts and the software required to run the experiments are provided alongside with the data, and to enable interested parties to directly run the experiments themselves, the test bed is also provided as a virtual hard disk. <br>All of the tools and plugins included in the virtual machine are under open source licenses, but to view the exact version they are under see the license section in the README document.

采用首过钆剂增强心肌灌注磁共振成像（MRI）进行灌注量化，已被证实为诊断可导致心肌血流量减少的冠状动脉疾病的可靠工具。
本数据集公开了10名经临床判定存在负荷灌注缺损的患者的自由呼吸灌注MRI序列。每位患者均完成了静息态与负荷态两项扫描。针对所有图像，均提供了左心室心肌及左右心室插入点的手动分割结果，以实现运动补偿算法与灌注分析的统一验证。此外，数据集随附了开展实验所需的全部脚本与软件；为方便感兴趣的研究者直接自行开展实验，本次还提供了搭载完整实验环境的虚拟硬盘作为测试平台。
虚拟机中包含的全部工具与插件均采用开源许可协议，如需查看其具体版本对应的许可条款，请参阅README文档中的许可章节。