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MRI-DIR | Synthetic and Phantom MR Images for Determining Deformable Image Registration Accuracy

DOI: 10.7937/K9/TCIA.2018.3f08iejt | Data Citation Required | Image Collection

Location Species Subjects Data Types Cancer Types Size Supporting Data Status Updated
Head-Neck and Phantom Phantom 9 MR, CT, RTSTRUCT Head and Neck Squamous Cell Carcinoma 3.14GB Image Registrations Limited, Complete 2018/06/30


Two sets of images were created to evaluate deformable image registration accuracy. The first set contains CT, T1-, and T2-weighted images from a porcine phantom. The phantom was implanted with ten 0.35 mm gold markers and then immobilized in a plastic container with movable dividers. The porcine phantom was compressed in 4 different ways and images were acquired in each position. The markers were visible on the CT scans but not the MR scans due to the selected voxel size. Therefore, the markers do not interfere with the registration between MR images and the marker locations can be obtained from the CT images to determine accuracy. The second set of images are synthetic images derived from 28 head and neck squamous cell carcinoma patients who had pre-, mid-, and post-radiotherapy treatment MR scans. From these patients, inter- and intra-patient models were created. Four synthetic pre-treatment images were created by using the inter-patient model on a selected template patient. Four synthetic post-treatment images were created for each synthetic pre-treatment image using the intra-patient model.

Data Access

Some data in this collection contains images that could potentially be used to reconstruct a human face. To safeguard the privacy of participants, users must sign and submit a TCIA Restricted License Agreement to before accessing the data.

Version 1: Updated 2018/06/30

Title Data Type Format Access Points Subjects Studies Series Images License
Images and Radiation Therapy Structures RTSTRUCT, CT, MR DICOM
Download requires NBIA Data Retriever
9 25 61 3,596 TCIA Restricted
Deformation Vector Fields MATLAB CC BY 3.0

Citations & Data Usage Policy

Data Citation Required: Users must abide by the TCIA Data Usage Policy and Restrictions. Attribution must include the following citation, including the Digital Object Identifier:

Data Citation

Ger, R.B., Yang, J., Ding, Y., Jacobsen, M.C., Cardenas, C.E., Fuller, C.D., Howell, R.M., Li, H., Stafford, R. J., Zhou, S., & Court, L. (2018). Data from Synthetic and Phantom MR Images for Determining Deformable Image Registration Accuracy (MRI-DIR) (Version 1). The Cancer Imaging Archive. DOI:

Other Publications Using this Data

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Publication Citation

Ger, R. B., Yang, J., Ding, Y., Jacobsen, M. C., Cardenas, C. E., Fuller, C. D., Howell, R. M., Li, H., Stafford, R. J., Zhou, S., & Court, L. E. (2018). Synthetic head and neck and phantom images for determining deformable image registration accuracy in magnetic resonance imaging. In Medical Physics (Vol. 45, Issue 9, pp. 4315–4321). Wiley.

TCIA Citation

Clark, K., Vendt, B., Smith, K., Freymann, J., Kirby, J., Koppel, P., Moore, S., Phillips, S., Maffitt, D., Pringle, M., Tarbox, L., & Prior, F. (2013). The Cancer Imaging Archive (TCIA): Maintaining and Operating a Public Information Repository. In Journal of Digital Imaging (Vol. 26, Issue 6, pp. 1045–1057). Springer Science and Business Media LLC.