• Skip to primary navigation
  • Skip to main content
  • Skip to primary navigation
  • Skip to main content
Choose which site to search.
University of Arkansas for Medical Sciences Logo University of Arkansas for Medical Sciences
College of Medicine: Department of Biomedical Informatics
  • UAMS Health
  • Jobs
  • Giving
  • About Us
    • Employment
    • Access, Opportunity, and Advocacy
      • About DBMI-AOA
      • Current DBMI-AOA Committee Members
      • DBMI-AOA Resources
      • DBMI-AOA Committee Events
    • Links
    • News
    • Department Intranet
  • Faculty & Staff
    • Primary Faculty
    • Secondary Faculty
    • Adjunct Faculty
    • Staff
  • Education
    • Admission Information
    • Clinical Informatics Fellowship
      • Fellowship Overview
      • Training Sites
      • Faculty
      • Current Fellows
      • Welcome to Little Rock!
    • Graduate Programs
    • Current Course Offerings
    • DBMI FAQs
    • Research & Application Seminar
    • Recorded Sessions for CME Credit
    • Student Funding Opportunities
    • Graduate Students
  • Cores and Shared Resources
    • Arkansas Clinical Data Repository (AR-CDR)
    • INBRE
      • INBRE Bioinformatics Core Support Request Form
  • Research
    • Databases
    • Research Labs
      • Biomedical Ontologies Arkansas (BOAR)
    • Publications
  • Artificial Intelligence for Health
  1. University of Arkansas for Medical Sciences
  2. College of Medicine
  3. Department of Biomedical Informatics
  4. News
  5. Reengineering Workflow for Curation of DICOM Datasets

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

Posted by Chris Lesher on June 15, 2018

Filed Under: Publications Tagged With: Curation, De-identification, DICOM, Image archive, Kirk Smith, Open science, Posda, Quasar Jarosz, Scalability, TCIA, Tracy Nolan, Walter Bosch, William Bennett

UAMS College of Medicine LogoUAMS College of MedicineUniversity of Arkansas for Medical Sciences
Mailing Address: 4301 West Markham Street, Little Rock, AR 72205
Phone: (501) 686-7000
  • Facebook
  • X
  • Instagram
  • YouTube
  • LinkedIn
  • Pinterest
  • Disclaimer
  • Terms of Use
  • Privacy Statement

© 2025 University of Arkansas for Medical Sciences