June 15, 2018

Reengineering Workflow for Curation of DICOM Datasets

J Digital Imaging (15 Jun 2018). https://doi.org/10.1007/s10278-018-0097-4

William Bennett, Kirk Smith, Quasar Jarosz, Tracy Nolan, Walter Bosch

Abstract

Reusable, publicly available data is a pillar of open science and rapid advancement of cancer imaging research. Sharing data from completed research studies not only saves research dollars required to collect data, but also helps insure that studies are both replicable and reproducible. The Cancer Imaging Archive (TCIA) is a global shared repository for imaging data related to cancer. Insuring the consistency, scientific utility, and anonymity of data stored in TCIA is of utmost importance. As the rate of submission to TCIA has been increasing, both in volume and complexity of DICOM objects stored, the process of curation of collections has become a bottleneck in acquisition of data. In order to increase the rate of curation of image sets…

Read more: https://link.springer.com/article/10.1007%2Fs10278-018-0097-4