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Summary


This data set was provided in association with a challenge competition and related conference session conducted at the AAPM 2019 Annual Meeting

The data for this challenge contains a total of 55 MRI cases, each from a single examination from a distinct patient, with each case consisting of a T2-weighted images in DICOM format. Thirty-five of these will be provided as training cases, with the parotid glands, submandibular glands, level 2 and level 3 lymph nodes contoured. The images were acquired from MD Anderson Cancer Center.

The training set consists of 35 MRI with corresponding RT structures sets. This dataset will be representative of the technical properties (scanner type, acquisition parameters, file format) and the contours of the test set. Data will be in DICOM format. Contours will be provided for parotid glands, submandibular glands, level 2 and level 3 lymph nodes. The off-line set consists of 10 MRI cases with no ground truth contours. 

Acknowledgements

We would like to acknowledge the individuals and institutions that have provided data for this collection:

The University of Texas MD Anderson Cancer Center Houston, Texas, USA 


Data Access

Click the Download button to save a ".tcia" manifest file to your computer, which you must open with the NBIA Data Retriever. Click the Search button to open our Data Portal, where you can browse the data collection and/or download a subset of its contents.

Data TypeDownload all or Query/Filter
Images (DICOM, 2.7 GB)

 

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Detailed Description

Image Statistics


Modalities

MR, RTSTRUCT

Number of Patients

43

Number of Studies

43

Number of Series

74

Number of Images

5191

Images Size (GB)2.7

Add any additional information as needed below. Likely would be something from site.


Citations & Data Usage Policy

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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

Cardenas, Carlos; Mohamed, Abdallah; Sharp, Greg; Gooding, Mark; Veeraraghavan, Harini; Jinzhong, Yang. (2019). Data from AAPM RT MAC Challenge. The Cancer Imaging Archive. (DOI goes here)

Acknowledgement


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: 10.1007/s10278-013-9622-7

Other Publications Using This Data

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

Version 1 (Current): Updated 2019/05/23

Data TypeDownload all or Query/Filter
Images (DICOM, 2.7 GB)

(Requires NBIA Data Retriever.)






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