Pattanasak Mongkolwat PhD, Presenter: Nothing to Disclose

Justin Kirby, Presenter: Stockholder, Myriad Genetics, Inc

1) To introduce the participant to collecting image annotations as coded terminologies in a structured manner using NCIP Annotation and Image Markup (AIM) Version 4.0. 2) To provide an overview of and where to obtain the AIM tools used to create image annotations. 3) To provide an end-to-end demonstration on how to use the tools including AIM Template Builder, AIM Template Service, and AIM on Clearcanvas.

One of the major challenges associated with “big data” as it relates to imaging informatics is the lack of structured metadata for collecting image annotation information. The Annotation and Imaging Markup (AIM) version 4.0 information model captures pixel descriptions of an image interpreted by a human or machine with graphical drawings and related calculation results placed on the image into a single common information source. This course will demonstrate how the AIM project tools generate annotations and markup using coded terminologies in a way that automatically maintains the association to the images. The result is an interconnected suite of tools which allows researchers to easily generate minable structured metadata for research. In this course, participants will receive an overview on generating image annotations and markup as coded terminologies in a structured manner utilizing freely available open source tools developed through the National Cancer Informatics Program (NCIP). First, we will introduce the AIM Template Builder for creating structured data entry templates. Next, we will discuss the AIM Template Service which allows for centralized storage and sharing of these AIM templates. Finally, we will cover the AIM on Clearcanvas workstation which is used to import and display the AIM templates alongside the image data and allows for structured annotation and markup creation. These tools allow study designers and imaging interpreters to focus on clinical problems and the types of information needed for collection without also comprehensively understanding the AIM model.  

http://www.radiology.northwestern.edu/research/areas-of-research/Imaging-Informatics-home/Presentations.html

Mongkolwat, P, Kirby, J, Structured Annotation and Image Markup (AIM) Template and Toolsets (Hands-on).  Radiological Society of North America 2014 Scientific Assembly and Annual Meeting, - ,Chicago IL. http://archive.rsna.org/2014/13013309.html