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Last Updated: 08/18/21

Cancer Imaging Informatics Lab

The Cancer Imaging Informatics Lab is an FNLCR support team that manages the Cancer Imaging Archive (TCIA) subcontract with the objective to increase public availability of high quality cancer imaging data sets for research, support NIH data sharing requirements for the cancer imaging community, enhance reproducibility in research, and create a culture of open data sharing and collaboration among cancer imaging researchers.

The Cancer Imaging Informatics Lab also supports the development of new technologies and methodologies such as clinical imaging data de-identification and curation, radiomics and image characterization, AI and deep learning, and integrative, multi-disciplinary data analysis (e.g. radiogenomics). The Lab provides leadership, expertise, and imaging data support to NIH program activities such as the Quantitative Imaging Network (QIN), Informatics Technology in Cancer Research (ITCR), CPTAC, and APOLLO and NCI efforts to create a Cancer Research Data Commons infrastructure. Data from TCIA collections are also used for image analysis challenges or competitions, e.g., image segmentation or tumor classification.

The Cancer Imaging Informatics Lab has built on its successful support to the NCI/DCTD/Cancer Imaging Program to gain a 5-year commitment from NCI to expand support to include collecting, de-identifying, archiving and making publicly available the imaging data from NCI-supported clinical trials. This effort enables TCIA to establish and manage an additional image data collection center focused specifically on clinical trial data accrual. With the large increase in demand for publicly available de-identified image data with associated clinical and other metadata, there is now an opportunity to substantially increase the value to the research community by making available imaging data with links to clinical trial analyses, associated clinical data and patient outcomes.