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IMAGE-COMPRESSION-SIMULATION

The Cancer Imaging Archive

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

DOI: 10.7937/K9/TCIA.2016.xHsOkCdc | Data Citation Required | Analysis Result

Subjects Related Collections Updated
37 2016/12/08

Summary

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.

Collections Used In This Analysis Result

Title Data Type Format Access Points Subjects Studies Series Images License
Corresponding Original Images from CT COLONOGRAPHY CT DICOM 10 10 10 5,027 CC BY 3.0
Corresponding Original Images from LIDC-IDRI CT DICOM 10 10 10 2,441 CC BY 3.0
Corresponding Original Images from TCGA-BRCA MR DICOM 10 10 10 1,520 CC BY 3.0
Corresponding Original Images from TCGA-GBM MR DICOM 7 10 10 264 TCIA Restricted

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Citations & Data Usage Policy

Data Citation Required: Users must abide by the TCIA Data Usage Policy and Restrictions. Attribution must include the following citation, including the Digital Object Identifier:

Data Citation

Liu, F., Hernandez-Cabrero, M., Sanchez, V., Marcellin, M. W., & Bilgin, A. (2016). Image Data Used in the Simulations of The Role of Image Compression Standards in Medical Imaging: Current Status and Future Trends (Image-Compression-Simulation) [Data set]. The Cancer Imaging Archive. https://doi.org/10.7937/K9/TCIA.2016.xHsOkCdc

Detailed Description

This Collection used subsets of existing TCIA data.

manifest (note: includes limited-access data): metadata.csv

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.

Publication Citation

Liu, F., Hernandez-Cabronero, M., Sanchez, V., Marcellin, M., & Bilgin, A. (2017). The Current Role of Image Compression Standards in Medical Imaging. In Information (Vol. 8, Issue 4, p. 131). MDPI AG. https://doi.org/10.3390/info8040131

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