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MRI-DIR

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

DOI: 10.7937/K9/TCIA.2018.3f08iejt | Page Accessibility: Public | Collection

Collection Snapshot
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 2GB Image Registrations Public, Complete 2023/09/13

Summary



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 [email protected] before accessing the data.

Click the Versions tab for more info about data releases.

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

Citations & Data Usage Policy

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: https://doi.org/10.7937/K9/TCIA.2018.3f08iejt

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. https://doi.org/10.1002/mp.13090

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. https://doi.org/10.1007/s10278-013-9622-7

Other Publications Using This Data

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