MIM ViewerMedical Imaging Markup Viewer
Pedro Lopes | [email protected] | PDEI - TAEI2: Medical Imaging | July 24th, 2009
Acknowledgement: The research leading to these results has received funding from the European Community's Seventh Framework Programme (FP7/2007-2013) under grant agreement nº 200754,the GEN2PHEN project.
Outline
‣ Introduction
‣ Problem
‣ Data Model
‣ Data Exchange
‣ Architecture
‣ MIM Viewer
‣ Conclusion
‣ Future work
Introduction
‣ Medical Imaging deals with large amounts of information
‣ Images are a great media for trait detection
- However...
‣ Sometimes images are not enough...
- Textual reports are valuable additions
Image Annotations
Problem
‣ How to deal with annotations?
‣ Storage
- Complex information
‣ Generic, scalable, flexible
- What data model?
‣ Exchange
- How to implement this data model?
- Reduce the complex annotations to a simple file?
Data Model [Complete]
Data Model [General Annotation]
Main annotation information
Data Model [Image]
DICOM image information
Data Model [Markup]
Text and image additions
Data exchange file [XML]
Architecture
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MIM Viewer
‣ Prototype application
- Only the viewer component
‣ 3 main modules
- Annotation list
‣ XML file containing the analyzed annotations
- DICOM
‣ Image proxy
- Viewer
‣ Main image visualization application
MIM Viewer [DEMO]
Conclusions
‣ Image Annotation is enormously complex
‣ No industry standard
- caBIG group is pushing this data model...
‣ Deploy the entire architecture is a cumbersome task
MSc work?
Future work
‣ Enhance and implement framework data model
‣ Improve data exchange format
‣ Develop MIM Engine and MIM Writer
‣ Create richer MIM Viewer
- Focus on web user interface
Thank You!
Questions?
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