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| title | Data Access |
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| Click the Download button to save a ".tcia" manifest file to your computer, which you must open with the NBIA Data Retriever. Click the Search button to open our Data Portal, where you can browse the data collection and/or download a subset of its contents. | Data Type | Download all or Query/Filter |
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| Images and Radiation Therapy Structures (DICOM, 1.4 GB) | | | Deformation Vector Fields (MATLAB) | |
Click the Versions tab for more info about data releases. |
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| title | Detailed Description |
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Modalities | CT, MR, RTSTRUCT, Matlab | Number of PatientsParticipants | 9 | Number of Studies | 25 | Number of Series | 61 | Number of Images | 3596 | | Image Size (GB) | 1.4 |
Rachel B. Ger,Jinzhong Yang,Yao Ding, Megan C. Jacobsen, Carlos E. Cardenas, Clifton D. Fuller,Rebecca M. Howell, Heng Li, R. Jason Stafford, Shouhao Zhou, Laurence E. Court. (2018) Synthetic head and neck and phantom images for determining deformable image registration accuracy in magnetic resonance imaging. Medical Physics. DOI: 10.1002/mp.13090 |
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| title | Citations & Data Usage Policy |
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| This collection is freely available to browse, download, and use for commercial, scientific and educational purposes as outlined in the Creative Commons Attribution 3.0 Unported License. See TCIA's Data Usage Policies and Restrictions for additional details. Questions may be directed to help@cancerimagingarchive.net. Please be sure to include the following citations in your work if you use this data set: | Info |
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| Rachel B. Ger, Jinzhong Yang, Yao Ding, Megan C. Jacobsen, Carlos E. Cardenas, Clifton D. Fuller, Rebecca M. Howell, Heng Li, R. Jason Stafford, Shouhao Zhou, Laurence E. Court (2018). Data from Synthetic and Phantom MR Images for Determining Deformable Image Registration Accuracy (MRI-DIR). The Cancer Imaging Archive. DOI: 10.7937/K9/TCIA.2018.3f08iejt |
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| title | Publication Citation |
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| Rachel B. Ger,Jinzhong Yang,Yao Ding, Megan C. Jacobsen, Carlos E. Cardenas, Clifton D. Fuller,Rebecca M. Howell, Heng Li, R. Jason Stafford, Shouhao Zhou, Laurence E. Court. (2018) Synthetic head and neck and phantom images for determining deformable image registration accuracy in magnetic resonance imaging. Medical Physics. DOI: 10.1002/mp.13090 |
| Info |
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| Clark K, Vendt B, Smith K, Freymann J, Kirby J, Koppel P, Moore S, Phillips S, Maffitt D, Pringle M, Tarbox L, Prior F. The Cancer Imaging Archive (TCIA): Maintaining and Operating a Public Information Repository, Journal of Digital Imaging, Volume 26, Number 6, December, 2013, pp 1045-1057. DOI: 10.1007/s10278-013-9622-7 |
TCIA maintains a list of publications which leverage our data. At this time we are not aware of any publications based on this data. If you have a publication you'd like to add please contact the TCIA Helpdesk.
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| | Data Type | Download all or Query/Filter |
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| Images (DICOM, 1.4 GB) | | | Deformation Vector Fields (MATLAB) | |
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