Description
These are the 3D image data used in the simulations of the paper "The Role of Image Compression Standards in Medical Imaging: Current Status and Future Trends". 10 series per collection were selected from CT COLONOGRAPHY (ACRIN 6664), Data from The Lung Image Database Consortium (LIDC) and Image Database Resource Initiative (IDRI): A completed reference database of lung nodules on CT scans (LIDC-IDRI), The Cancer Genome Atlas Breast Invasive Carcinoma Collection (TCGA-BRCA), and The Cancer Genome Atlas Glioblastoma Multiforme Collection (TCGA-GBM) for analysis. Lossless and lossy compression algorithms, including JPEG, JPEG-LS, JPEG-XR, JPEG2000, HEVC, are used to compress and decompress the images. Their performances are compared in the paper.
Data Access
| Data Type | Download all or Query/Filter | License |
|---|---|---|
| Subset of CT COLONOGRAPHY Images (DICOM) |
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| Subset of LIDC-IDRI images (DICOM) |
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| Subset of TCGA-BRCA images (DICOM) |
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| Subset of TCGA-GBM images (DICOM) |
| NOTE: LIMITED 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 help@cancerimagingarchive.net before accessing the data. |
Please contact help@cancerimagingarchive.net with any questions regarding usage.
Detailed Description
This Collection used subsets of existing TCIA data.
| Collection Statistics | Radiology |
|---|---|
| Modalities | MR,CT |
| Number of Participants | 37 |
| Number of Studies | 40 |
| Number of Series | 40 |
| Number of Images | 9,252 |
| Image Size (GB) | 3.9 |
manifest (note includes limited-access data): metadata.csv
Citations & Data Usage Policy
These collections are freely available to browse, download, and use for commercial, scientific and educational purposes as outlined in the Creative Commons Attribution 3.0 Unported License. Questions may be directed to help@cancerimagingarchive.net. Please be sure to acknowledge both this data set and TCIA in publications by including the following citations in your work:
Data Citation
Liu, Feng; Hernandez-Cabronero, Miguel; Sanchez, Victor; Marcellin, Michael W.; Bilgin, Ali. (2016). Image Data Used in the Simulations of "The Role of Image Compression Standards in Medical Imaging: Current Status and Future Trends". The Cancer Imaging Archive. https://doi.org/10.7937/K9/TCIA.2016.xHsOkCdc
Publication Citation
Liu, Feng; Hernandez-Cabronero, Miguel; Sanchez, Victor; Marcellin, Michael W.; Bilgin, Ali. (2017) The Current Role of Image Compression Standards in Medical Imaging. Information 8(4):131-157. doi:10.3390/info8040131 http://www.mdpi.com/2078-2489/8/4/131
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. 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: https://doi.org/10.1007/s10278-013-9622-7
Other Publications Using This Data
TCIA maintains a list of publications that leverage TCIA data. If you have a manuscript you'd like to add please contact the TCIA Helpdesk.
Version 1 (Current): 2016/12/08
| Data Type | Download all or Query/Filter | License |
|---|---|---|
| CT Images (DICOM) |
| |
| LIDC images (DICOM) |
| |
| TCGA-BRCA images (DICOM) |
| |
| TCGA-GBM images (DICOM) |
| NOTE: LIMITED 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 help@cancerimagingarchive.net before accessing the data. |