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