NIH | National Cancer Institute | NCI Wiki  

Error rendering macro 'rw-search'

null

You are viewing an old version of this page. View the current version.

Compare with Current View Page History

« Previous Version 13 Next »

This guide explains how to use the caBIG® Annotation and Image Markup (AIM) Template Manager for AIM Information Model Version 3.0. The intended audience for this guide is a biomedical researcher familiar with the AIM information model.

Topics in this guide include:

To Print the Guide

You can create a PDF of the guide. For instructions refer to the tip How do I print multiple pages?. If you want to print a single page, refer to How do I print a page?.

Getting Started with the AIM Template Manager

The AIM Template Manager allows you to create XML documents that can be imported into other applications. Once imported into another application, the information in these XML documents allows users to annotate medical images using a controlled vocabulary and standard template. This results in simple and constrained annotations that are reproducible and consistent.

To create these XML documents, you use the AIM Template Manager to design templates using a lexicon of standard and user-definable terms. You can then collect multiple templates into template groups. You complete the process by downloading a template group as an XML file to your local computer.

Why Use the AIM Standard?

Imaging reports contain both graphical drawings and medical knowledge in the form of annotations. These annotations are stored as unstructured text and separated from graphical drawings, which are typically in a proprietary format on an imaging system. Extracting this valuable medical information and combining them with drawings on another system is time-consuming and cumbersome to filter and search.

AIM begins to solve this problem by capturing the descriptive information of an image with user-generated graphical symbols placed on the image into a single common information source. AIM captures medical findings using standard vocabularies such as RadLex, SNOMED CT, DICOM, and user-defined terminology. Image information captured in the AIM model includes anatomic entity and its characteristics, imaging observation and its characteristics, and inference. However, existing vocabularies used to describe medical images contain thousands of terms that make it difficult for users to find and then include in their AIM annotation.

The AIM Template Manager employs the AIM model to

Working with Template Groups

Creating a Template Group

Editing a Template Group

Deleting a Template Group

Downloading a Template Group

Uploading a Template Group

Working with Templates

Creating a Template

Editing a Template

Deleting a Template

Building a Lexicon

  • No labels