Medical Imaging Markup Viewer (Keynote)

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MIM Viewer Medical Imaging Markup Viewer

Pedro Lopes | pedrolopes@ua.pt | 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 nยบ 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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