Pattanasak Mongkolwat PhD, Presenter: Nothing to Disclose

Daniel L. Rubin MD, Abstract Co-Author: Grant, General Electric Company

Vladimir Kleper, Abstract Co-Author: Nothing to Disclose

Joseph Jen-Sho Chen MD, Abstract Co-Author: Advisory Board, Bayer AG

Eliot L. Siegel MD, Abstract Co-Author: Research grant, General Electric Company Speakers Bureau, Siemens AG Board of Directors, Carestream Health, Inc Research Grant, XYBIX Systems, Inc Research Grant, Steelcase, Inc Research Grant, Anthro Corp Research Grant, RedRick Technologies Inc Research Grant, Evolved Technologies Corporation Research Grant, Barco nv Research Grant, Intel Corporation Research Grant, Dell Inc Research Grant, Herman Miller, Inc Research Grant, Virtual Radiology Research Grant, Anatomical Travelogue, Inc Medical Advisory Board, Fovia, Inc Medical Advisory Board, Vital Images Medical Advisory Board, McKesson Corporation Medical Advisory Board, Carestream Health, Inc Medical Advisory Board, Bayer AG Research, TeraRecon, Inc Medical Advisory Board, Bracco Group Researcher, Bracco Group Medical Advisory Board, Merge Healthcare Incorporated Medical Advisory Board, Microsoft Corporation Researcher, Microsoft Corporation

Annotation and Image Markup (AIM) provides an information model, software tools and imaging workstation to create and capture image annotation, graphical drawings, related calculations, inference and supplemental information using standard vocabularies such as RadLex and user-defined terminologies. To facilitate AIM annotation creation and structured reporting, an XML schema and a Java application called AIM Template Builder (ATB) 2.0 have been created. ATB supports clinical trial study designers, image researchers or clinicians to create a set of well-defined questions and related answers without acquiring AIM knowledge.

A template does not specify how a graphical user interface can be arranged and implemented. Developers can implement interfaces that best fit their needs. Custom templates can be used with any AIM-compliant image annotation applications.

ATB is used to create and store templates in order to facilitate creation of constrained annotations. It uses the latest AIM template schema. It allows template creators to create a question as a coded concept instead of simple textual description. It permits the creators to skip a question or a group of consecutive questions when a condition is met from given answer choices. The skipped questions may have default answers assigned to each question. Instances of AIM templates are created by selecting question components to be answered by an imaging interpreter. Terms to be used by the interpreter can be selected from standard vocabularies. Instances of the templates can be stored locally or in an AIM Template Service residing on the Internet. ATB allows creating, editing, renaming and deleting of templates or their content. ATB validates templates against the schema thereby insuring that exported templates are ready for use in an AIM-enabled application. The application imports AIM templates and instantiates a user interface to capture the desired, constrained annotation.

The AIM 4.0 model has been extended to satisfy beyond medical image annotations. It is complex and comprehensive. Typically, a study’s image interpreters want to make simple and constrained annotations based on structured templates.

Mongkolwat, P, Rubin, D, Kleper, V, Chen, J, Siegel, E, Structured Reporting with the caBIG® Annotation and Image Markup (AIM) Template Builder for AIM Version 4.0.  Radiological Society of North America 2012 Scientific Assembly and Annual Meeting, November 25 - November 30, 2012 ,Chicago IL. http://archive.rsna.org/2012/12024418.html