Unpaired MR-CT Brain Dataset for Unsupervised Image Translation
The Magnetic Resonance – Computed Tomography (MR-CT) Jordan University Hospital (JUH) dataset has been collected after receiving Institutional Review Board (IRB) approval of the hospital and consent forms have been obtained from all patients. All procedures followed are consistent with the ethics of handling patients’ data.
The dataset consists of unpaired brain CT and MR images of 20 patients scanned for radiotherapy treatment planning for brain tumors. The dataset contains T2-MR and CT images for patients aged between 26-71 years with mean-std equal to 47-14.07. The MR images were acquired with a 5.00mm T Siemens Verio 3T using a T2-weighted without contrast agent, 3 Fat sat pulses (FS), 2500-4000 TR, 20-30 TE, and 90/180 flip angle. The CT images were acquired with Siemens Somatom scanner with 2.46mGY.cm dose length, 130KV voltage, 113-327 mAs tube current, topogram acquisition protocol, 64 dual source, one projection, and slice thickness of 7.0mm. Smooth and sharp filters have been applied to CT images. The MR scans have a resolution of 0.7×0.6×5 mm^3, while the CT scans have a resolution of 0.6×0.6×7 mm^3.
There are a total of 179 2D axial image slices referring to 20 patient volumes (90 MR and 89 CT 2D axial image slices). The dataset contains MR and CT brain tumour images with corresponding segmentation masks.