Dataset: "Technical Development and In Silico Implementation of SyntheticMR in Head and Neck Adaptive Radiation Therapy: A Prospective R-IDEAL Stage 0/1 Technology Development Report"

For the paper "Technical Development and In Silico Implementation of SyntheticMR in Head and Neck Adaptive Radiation Therapy: A Prospective R-IDEAL Stage 0/1 Technology Development Report" found at: https://doi.org/10.1101/2024.08.29.24312591

This dataset contains the unprocessed DICOM images generated from the SyntheticMR sequence. In other words, these are the scanner reconstructed images prior to SyMRI processing. The data is organized as follows:
MR-Sim
--> Phantom (repetition 1, repetition 2), Volunteer 1, Volunteer 2, Patient
MR-Linac (coarse)
--> Phantom (repetition 1, repetition 2), Volunteer 1
MR-Linac (fine)
--> Phantom (repetition 1, repetition 2), Volunteer 1
The code to reproduce the analysis from the paper is at: https://github.com/Lucas-Mc/SyntheticMR_R-IDEAL_0-1
Each respective folder will contain a raw.zip and rt_structs.seg.nrrd file for the imaging data and segmentation data, respectively. To complete the full dataset for the GitHub code, unzip the raw.zip file, upload the resulting folder to SyMRI (I used StandAlone 11.3.11), and save the T2w stack and T1T2PD SyMaps to the same folder as shown in the GitHub folder structure. Make sure to use the phantom setting or brain setting for the maps depending on the image being processed as incorrect choices here will result in erroneous values. Rename the folders as described there.