medical imaging markup viewer (keynote)

MIM ViewerMedical 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 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?