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National Cancer Informatics Program (NCIP) Annotation and Image Markup (AIM) Software Tools for Clinical and Research Use

Friday, November 08, 2013 — Poster Session III

10:00 a.m. – 12:00 p.m.

FAES Academic Center (Upper-Level Terrace)

NCI

CLIN-20

Authors

  • P. Mongkolwat
  • V. Kleper
  • S. Talbot
  • D. Pham
  • J. Butman

Abstract

AIM defines a standard information model for collecting annotation descriptions, markup and computational results of image features using well-defined medical lexicons such as RadLex, SNOMED CT®, and user-defined lexicons. The tools significantly reduce the effort needed to understand and use the AIM information model in clinical and research environments. The participant will understand the latest AIM 4.0 model and how to use AIM tools step-by-step. It starts with 1) creating case report forms using AIM Template Builder 2.0; 2) sharing and searching AIM templates using AIM Template Service; 3) importing AIM templates in to an open source AIM enabled ClearCanvas workstation; 4) creating AIM instances as AIM DICOM SR and/or AIM XML documents; 5) Storing, searching and retrieving AIM XML documents to/from AIM Data Service. Annotations stored in the AIM format can be searched to find recoded image findings using controlled vocabularies. This yields more accurate results than searching textual descriptions using natural language processing to extract medical concepts.

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