Detailed Description | |
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Modalities | MR, RTSTRUCT | Number of Patients | 43 | Number of Studies | 43 | Number of Series | 74 | Number of Images | 5191 | Images Size (GB) | 2.7 |
To participate in the challenge and to learn more about the subsets of training and test data used please visit http://aapmchallenges.cloudapp.net/competitions/34. Some information from the challenge site is included below. Data description T2 MR Images of 55 patients have been collected for this challenge. Data were acquired from MD Anderson Cancer Center. All images were scanned with a protocol specifically designed for head-and-neck radiation treatment simulation. Datasets were divided into three groups: - 31 training datasets
- 12 off-site test datasets
- 12 live test datasets
Data will be provided in DICOM (both MR and RTSTRUCT), as commonly used in most commercial treatment planning systems. Contouring Guidelines The manual contours were drawn by a radiation oncologist at MD Anderson Cancer Center. The structures were contoured following the DAHANCA, EORTC, GORTEC, HKNPCSG, NCIC CTG, NCRI, NRG Oncology and RROG consensus guidelines reported in Brouwer et.al Radiotherapy and Oncol. 2015. Details of contouring guidelines can be found in "Learn the Details" on the challenge website. The following structures are included in this challenge: - Parotid glands
- Submandibular glands
- Lymph nodes level II
- Lymph nodes level III
Training Data Each training dataset includes a set of DICOM MR image files and one DICOM RTSTRUCT file. Each training dataset is labeled as RTMAC-TRAIN-xxx, where xxx identifies the dataset ID. Training data are available here. (Requires NBIA Data Retriever.) Off-site test data Each off-site test dataset includes a set of DICOM MR image files and is labeled as RTMAC-TEST-xxx, where xxx identifies the dataset ID. Off-site test data are available here. (Requires NBIA Data Retriever.) Live test data Each off-site test dataset includes a set of DICOM MR image files and is labeled as RTMAC-LIVE-xxx, where xxx identifies the dataset ID. Live test data will be made available July 15, 2019. |