UNITY Phantom QA example data

Example phantom quality assurance (QA) dataset from the UNITY phantom (CaliberMRI Mini-hybrid Model 137) acquired on a Hyperfine Swoop, 64 mT portable MRI system (Hyperfine Inc., Guilford, CT), at Lund University, Lund, Sweden. The dataset contains six exams carried out in 2023 with identical acquisitions, adhering to the UNITY Phantom QA protocol. The dataset is intended to be used as a test dataset for the <code>ghost</code> analysis framework. Please see further details in the ghost repository on GitHub for information about how to analyse this dataset.Data structureImage data is stored in the <code>DICOM</code> folder with subfolders indicating the date of data acquisition. Each exam contains 5 seriesFISP: Gradient echo scan to check internal thermometerT2 Axial, Fast: Geometric distortions, contrast, and SNRT2 Axial, Fast: Geometric distortions, contrast, and SNRT2 Coronal, Fast: Geometric distortionsT2 Sagittal, Fast: Geometric distortions本数据集为基于UNITY体模（CaliberMRI Mini-hybrid Model 137）的示例质量保证（Quality Assurance, QA）数据集，由瑞典隆德大学使用Hyperfine Swoop型64 mT便携式磁共振成像（MRI）系统（Hyperfine公司，美国康涅狄格州吉尔福德）采集完成。该数据集包含2023年开展的6次采集参数完全一致的检查，严格遵循UNITY体模QA规程。本数据集旨在作为<code>ghost</code>分析框架的测试数据集使用。有关该数据集的分析方法详情，请参阅GitHub平台上的ghost代码仓库。 数据结构 图像数据存储于<code>DICOM</code>文件夹中，其子文件夹以数据采集日期命名。每次检查包含5个序列： 1. FISP：梯度回波扫描，用于检测内置温度计 2. T2 轴位快速序列：用于评估几何畸变、对比度及信噪比（Signal-to-Noise Ratio, SNR） 3. T2 轴位快速序列：用于评估几何畸变、对比度及信噪比 4. T2 冠状位快速序列：用于评估几何畸变 5. T2 矢状位快速序列：用于评估几何畸变