Localtab |
---|
active | true |
---|
title | Data Access |
---|
| Data AccessData Type | Download all or Query/Filter | License |
---|
Images (DICOM, 418.9 GB) |
Tcia button generator |
---|
url | https://wiki.cancerimagingarchive.net/download/attachments/93258287/TCIA_FDG-PET-CT-Lesions_v1.tcia?api=v2 |
---|
|
|
Tcia button generator |
---|
label | Search |
---|
url | https://nbia.cancerimagingarchive.net/nbia-search/?MinNumberOfStudiesCriteria=1&CollectionCriteria=FDG-PET-CT-Lesions |
---|
|
|
(Requires NBIA Data Retriever) | TCIA Restricted | Clinical data (CSV) |
Tcia button generator |
---|
url | https://wiki.cancerimagingarchive.net/download/attachments/93258287/Clinical%20Metadata%20FDG%20PET_CT%20Lesions.csv?api=v2 |
---|
|
|
| CC BY 4.0 |
Click the Versions tab for more info about data releases. 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.
|
Localtab |
---|
title | Detailed Description |
---|
| Detailed DescriptionImage Statistics | Radiology Image Statistics |
---|
Modalities | PT, CT, SEG | Number of Patients | 900 | Number of Studies | 1014 | Number of Series | 3042 | 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.
|
Localtab |
---|
title | Citations & Data Usage Policy |
---|
| Citations & Data Usage Policy Tcia limited license policy |
---|
Info |
---|
| 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, 2022. DOI: 10.7937/gkr0-xv29 |
Info |
---|
title | Publication Citation |
---|
| 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 |
---|
| 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 Helpdesk. |
Localtab |
---|
| Version 1 (Current): Updated 2022/06/02Data Type | Download all or Query/Filter | License |
---|
Images (DICOM, 418.9 GB) |
Tcia button generator |
---|
url | https://wiki.cancerimagingarchive.net/download/attachments/93258287/TCIA_FDG-PET-CT-Lesions_v1.tcia?api=v2 |
---|
|
|
Tcia button generator |
---|
label | Search |
---|
url | https://nbia.cancerimagingarchive.net/nbia-search/?MinNumberOfStudiesCriteria=1&CollectionCriteria=FDG-PET-CT-Lesions |
---|
|
|
(Requires NBIA Data Retriever.) | TCIA Restricted | Clinical data (CSV) |
Tcia button generator |
---|
url | https://wiki.cancerimagingarchive.net/download/attachments/93258287/Clinical%20Metadata%20FDG%20PET_CT%20Lesions.csv?api=v2 |
---|
|
|
| CC BY 4.0 |
|
|