| Munich, July 20th, 2022
|
|
|
| This folder contains MRI scans of the neck and thyroid segmentation labels from 28 healthy volunteers.
|
| Additionally, segmentation labels for jugular veins and carotid arteries are available for 14 volunteers.
|
| Both MRI scans and labels are presented in a 3D volume and are saved as compressed NiFTi. To get the NiFTi files, the compressed files can easily be extracted with any compressing program.
|
| The MRI and segmentation data have a size of [320, 320, 80] and isotropic spacing of [0.625, 0.625, 1] mm.
|
| The folder "thyroid_label" contains thyroid segmentations of all 28 volunteers (with the thyroid value being 1 and the background being 0).
|
| The folder "MRI_thyroid+jugular+carotid_label" contains additional segmentations of jugular vein and carotid artery for 14 volunteers (with the thyroid value being 1, the jugular vein being 3 and 5, the carotid being 2 and 4 and the background being 0). The remaining segmentations will be added in the following weeks.
|
|
|
| File naming: The first three digits represent one subject, so for example '002_MRI' means that this is the MRI scan of volunteer 2.
|
|
|
| This dataset is licensed under a CC BY license. This means that users of it can be distributed, shuffled, adapted, and built upon any material with the sole condition that the creators are acknowledged by citing the following article:
|
| Tracked 3D Ultrasound and deep neural network-based Thyroid Segmentation reduce Interobserver Variability in Thyroid Volumetry; Markus Krönke, Christine Eilers, Desislava Dimova, Melanie Köhler, Gabriel Buschner, Lilit Mirzojan, Lemonia Konstantinidou, Marcus R. Makowski, James Nagarajah, Nassir Navab, Wolfgang Weber, Thomas Wendler; PLOS ONE 2022 (in press)
|
| The license permits commercial use as long as the authors are cited as described above.
|
|
|
| More information on the project can be found here: https://www.cs.cit.tum.de/camp/publications/segthy-dataset/
|
|
|
| For further information or questions contact Christine Eilers (christine.eilers@tum.de) or Dr. Thomas Wendler (wendler@tum.de). |
