Dataset: "A Method for Sensitivity Analysis of Automatic Contouring Algorithms Across Different MRI Contrast Weightings Using SyntheticMR"

For the paper "A Method for Sensitivity Analysis of Automatic Contouring Algorithms Across Different MRI Contrast Weightings Using Synthetic MR" found at: https://doi.org/10.1101/2025.01.10.25319895This dataset contains the ground truth segmentations from three expert annotators (v1, v2, v3) for the left parotid, right parotid, left submandibular, and right submandibular gland. In addition, for each contrast weighting (TR and TE combination), the synthetic image generated from SyMRI as well as the model's predicted automatic contours are also included. This dataset is repeated for a healthy volunteer and a patient. This data follows the following format:Subject-1___healthy-volunteer.zipground_truthParotid_L_v1.niiParotid_L_v2.niiParotid_L_v3.niiParotid_R_v1.nii...modelTR100_TE5structuresParotid_L.nrrdParotid_R.nrrd...img.nrrdTR100_TE10......Subject-2___patient.zipground_truth...model...The contrast weighting combinations (i.e., TR100_TE5) implies a TR = 100 ms and TE = 5 ms.The code to reproduce the analysis from the paper is at: https://github.com/Lucas-Mc/SyntheticMR_DL-sensitivity.