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:
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Getting Started with the AIM Template Manager
The AIM Template Manager allows you to create XML documents, or templates, that help users annotate medical images using a controlled vocabulary and standardized template. This results in simple and constrained annotations that are reproducible and consistent.
Background
Imaging reports contain both graphical drawings and medical knowledge in the form of annotations.
Extracting these annotations from thMedical knowledge contained within an imaging report is stored in an unstructured text format and separated from graphical drawings. This knowledge is typically in a proprietary format on an imaging system. The process of extracting valuable medical information from free text and combining with drawings from those sources are both time consuming and cumbersome to filter and search.
The AIM standard captures the descriptive information of an image with user-generated graphical symbols placed on the image into a single common information source. Medical findings are captured using standard vocabularies such as RadLex, SNOMED CT, DICOM, and user-defined terminology.
Image information captured in the AIM model is anatomic entity and its characteristic, imaging observation and its characteristic, and inference. Existing vocabularies contain thousands of terms that make it difficult for users to search and select criteria for inclusion as an AIM annotation.
The AIM Template Manager allows biomedical researchers to create their own templates
