AIM ProjectUpdate

March, 2009

Daniel Rubin M.D., M.S.Assistant Professor of Radiology

Research Scientist, Center for Biomedical Informatics Research

Stanford University

David S. Channin, MDAssociate Professor of Radiology

Northwestern University

Pattanasak Mongkolwat PhDResearch Associate Professor of Radiology

Northwestern University

Vladimir KleperMember of the Technical Staff

Northwestern University

Presenters

What’s the problem?

“There is a spiculated, somewhat microlobulated,

approximately 2 cm mass of soft tissue attenuation

in the left upper lobe suspicious for malignancy”

An Image, A Markup, An Annotation

Anatomic Entity: Left Lung (Radlex:1326)

Anatomic Entity: Upper lobe of left lung (RID1327

Observation: Mass (RID:3874)

Characteristic: Microlobulated margin (RID5712)

Geometric Shape: Polyline

2D coordinates: {(x,y),(x,y)….}

Calculation: Largest diameter

result: 2.8 cm

AIM Update

• AIM contracted ended 9/30/08• AIM 1.0Rev12 is SILVER COMPLIANT!

• AIM UML Model• AIM XML Schemas• AIM SDK to create AIM Instances

• In XML, DICOM, HL7 CDA• ANIVATR

• Open Source reference implementation to validate and translate AIM instances• ALL Available at cabig.nci.nih.gov/tools/AIM

• Publications1. Rubin D, Mongkolwat P, Kleper V, Channin DS. Medical imaging on the semantic

web. The Association for the Advancement of Artificial Intelligence. (AAAI) Spring Symposium, Palo Alto, CA, 2008.

2. Channin DS, Mongkolwat P, Kleper V, Sepukar K, Rubin, DL. The caBIG Annotation and Image markup Project. J Digit Imaging. 2009 (in press).

3. Rubin DL, Mongkolwat P, Channin DS. A Semantic Image Annotation Model to Enable Integrative Translational Research. 2009 AMIA Summit on Translational Bioinformatics. San Francisco. 2009.

4. Channin DS, Mongkolwat P, Rubin DL. Editorial: Small Project, Big AIM. Radiology (in revision).

Questions?

What the AIM 2.0 UML Model would look like if AIM 2.0 existed

Included in the model

•Annotation• Image Annotation• Annotation of Annotation

•User•Equipment•Patient •Image Reference

• DICOM Images• Web Images

•Anatomic Entity• Anatomic Entity Characteristic (2.0)

• Rating (2.0)

•Imaging Observation• Imaging Observation Characteristic

• Rating (2.0)

•Inference (2.0)•Probability Map (Segmentation Map (2.0))

•Text Annotation•Geometric Shape

• 2D and 2D coordinates• Multipoint, point, circle, ellipse, poly

•Calculation• Calculation Result

Rating class

• max (Double)

• min (Double)

• name (String)

• value (Double)

Segmentation class

• type (Value Domain)• Binary• Fractional Probability• Fractional Occupancy• Surface

• instanceUID (String)• sopClassUID (String)• referencedInstanceUID (String)• segmentNumber (Integer)

Inference class

• codeMeaning (String)

• codeSchemeDesignator (String)

• codeValue (String)

• codingSchemeVersion (String, option)

• confidence (Double, option)

• truth (Boolean, option)

ReferencedGeometricShape

• referencedShapeIdentifier (Integer)