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
!"#$%
)% '% )%
&'$%
('$%
*% +% ,% '% +% *%
)')% -./0/1%
)')% 21.3/1%
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?