Localtab |
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active | true |
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title | Data Access |
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| Data AccessData Type | Download all or Query/Filter | License |
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Images | and Segmentations XXX 9 GB) |
Tcia button generator |
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url | https://wiki.cancerimagingarchive.net/download/attachments/93258287/TCIA_FDG-PET-CT-Lesions_v1.tcia?api=v2 |
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| (Download requires the url | https://nbia.cancerimagingarchive.net/nbia-search/?MinNumberOfStudiesCriteria=1&CollectionCriteria=FDG-PET-CT-Lesions |
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(Requires NBIA Data Retriever) | TCIA Restricted | Clinical data (CSV, 1.34 MB) | |
Tumor Segmentation Masks (NIfTI, XX GB) | | Preprocessed aligned and resampled |
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url | https://wiki.cancerimagingarchive.net/download/attachments/93258287/Clinical%20Metadata%20FDG%20PET_CT%20Lesions.csv?api=v2 |
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| CC BY 4.0 |
Additional Resources for this DatasetThe following external resources have been made available by the data submitters. These are not hosted or supported by TCIA, but may be useful to researchers utilizing this collection. - Scripts provided by the submitting group for file conversion, preprocessing alignment and resampling of PET, CT and mask data
compiled as HDF5 file | | Click the Versions tab for more info about data releases. Please contact help@cancerimagingarchive.net with any questions regarding usage.
Localtab |
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title | Detailed Description |
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| Detailed DescriptionImage Statistics | Radiology Image Statistics |
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Modalities | PT, CT, and SEG | Number of Patients | 900 | Number of Studies | 1014 | Number of Series | 30883042 | Number of Images | 916,957 | Images Size (GB) | 418.9 |
Notes: Here are conversion scripts for these data https://github.com/lab-midas/TCIA_processing - Converts DICOM to NIfTI , and also create resampled/resliced CT and an SUV file using tcia_dicom_to_nifti.py (requires install of dicom2nifti and matplotlib)
- It is straight forward to generate HDF5 files from the NIfTI files using tcia_nifti_to_hdf5.py.
- Organizes NIfTI into HDF5 structure; note this output is a single large package.
SEG are most easily reviewed as overlay using MITK viewer or 3D Slicer.
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Localtab |
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title | Citations & Data Usage Policy |
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| Citations & Data Usage Policyheadaccess Tcia license 4 international |
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Info |
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| Dr. Tobias Hepp (0000-0002-5241-9642) Dr. Sergios Gatidis (0000-0002-6928-4967) <doi coming soon> | Gatidis S, Kuestner T. (2022) A whole-body FDG-PET/CT dataset with manually annotated tumor lesions (FDG-PET-CT-Lesions) [Dataset]. The Cancer Imaging Archive. DOI: 10.7937/gkr0-xv29 |
Info |
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title | Publication Citation |
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| <Nature Scientific Data accompanying article coming soon> | Info |
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| Only if they ask for special acknowledgments like funding sources, grant numbers, etc in their proposal.Gatidis, S., Hepp, T., Früh, M., La Fougère, C., Nikolaou, K., Pfannenberg, C., Schölkopf, B., Küstner, T., Cyran, C., & Rubin, D. (2022). A whole-body FDG-PET/CT Dataset with manually annotated Tumor Lesions. In Scientific Data (Vol. 9, Issue 1). DOI: 10.1038/s41597-022-01718-3 |
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 |
Other Publications Using This DataTCIA maintains a list of publications which leverage TCIA data. If you have a manuscript you'd like to add please contact the TCIA's Helpdesk. |
Localtab |
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| Version X 1 (Current): Updated yyyy2022/mm06/dd02Data Type | Download all or Query/Filter | License |
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Images (DICOM, | xxx 9 GB) |
Tcia button generator |
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url | https://wiki.cancerimagingarchive.net/download/attachments/93258287/TCIA_FDG-PET-CT-Lesions_v1.tcia?api=v2 |
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tcia-button-generator |
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label | Search |
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url | https://nbia.cancerimagingarchive.net/nbia-search/?MinNumberOfStudiesCriteria=1&CollectionCriteria=FDG-PET-CT-Lesions |
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(Requires NBIA Data Retriever.) | TCIA Restricted | Clinical | Data )Link | Other (formatlabel | Search |
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url | https://wiki.cancerimagingarchive.net/download/attachments/93258287/Clinical%20Metadata%20FDG%20PET_CT%20Lesions.csv?api=v2 |
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| CC BY 4.0 |
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