Image Data Used in the Simulations of "The Role of Image Compression Standards in Medical Imaging: Current Status and Future Trends"

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

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.

Data Type	Download all or Query/Filter	License
Subset of CT COLONOGRAPHY Images (DICOM)	(Download requires NBIA Data Retriever)	CC BY 3.0
Subset of LIDC-IDRI images (DICOM)	(Download requires NBIA Data Retriever)	CC BY 3.0
Subset of TCGA-BRCA images (DICOM)	(Download requires NBIA Data Retriever)	CC BY 3.0
Subset of TCGA-GBM images (DICOM)	(Download requires NBIA Data Retriever)	TCIA Restricted

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

Users must abide by the TCIA Data Usage Policy and Restrictions. Attribution should include references to the following citations:

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. (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 PMCID: PMC3824915

Other Publications Using This Data

TCIA maintains a list of publications that leverage our data. If you have a manuscript you'd like to add please contact TCIA's Helpdesk.

Version 1 (Current): 2016/12/08

Data Type	Download all or Query/Filter	License
CT Images (DICOM)	(Download requires the NBIA Data Retriever)	CC BY 3.0
LIDC images (DICOM)	(Download requires the NBIA Data Retriever)	CC BY 3.0
TCGA-BRCA images (DICOM)	(Download requires the NBIA Data Retriever)	CC BY 3.0
TCGA-GBM images (DICOM)	(Download requires the NBIA Data Retriever)	TCIA Restricted

Child pages