Multimedia Data Management To Assist Tissue MicroArray Design

1. Multimedia Data Management To Assist Tissue MicroArray Design Laboratoire TIMC-IMAG – Grenoble, France Equipes SIC et RFMQ Julie Bourbeillon, Catherine Garbay et Françoise Giroud AIME 2005 1

2. TMA Technology Patients Study to conduct 2

3. TMA Technology Patients Histological Slide Study to conduct Biopsy 2

4. TMA Technology Patients Histological Slide Study to conduct TMA Block Building process Biopsy 2

5. TMA Technology Patients Histological Slide Study to conduct TMA Block Building process Biopsy Biological Marker TMA Sildes 2

6. TMA Technology Patients Histological Slide Study to conduct TMA Block Building process Biopsy Biological Marker TMA Sildes Image Acquisition 2

7. TMA Technology Patients Histological Slide Study to conduct TMA Block Building process Biopsy Biological Marker TMA Sildes Data Mining Anatomopathological Analysis Quantitative Microscopy Image Acquisition 2

8. TMA Technology Patients Histological Slide Study to conduct TMA Block Building process Biopsy Biological Marker Virtual TMA Silde TMA Sildes Data Mining Anatomopathological Analysis Quantitative Microscopy Image Acquisition 2

9. TMA Technology Patients Histological Slide Assist With Real TMA Blocks Construction Building plan for TMA Blocks Study to conduct TMA Block Building process Biopsy Biological Marker Virtual TMA Silde TMA Sildes Data Mining Anatomopathological Analysis Quantitative Microscopy Image Acquisition 2

10. TMA Technology Patients Histological Slide Study to conduct TMA Block Building process Biopsy Biological Marker Virtual TMA Silde Assist With TMA Data Mining Building TMA Virtual Slides TMA Sildes Data Mining Anatomopathological Analysis Quantitative Microscopy Image Acquisition 2

11. TMA Technology How to assist ? Manipulating heterogenous data - Images Building an organised prsentation of those items → Multimedia document generation Patients Histological Slide Study to conduct TMA Block Building process Biopsy Biological Marker Virtual TMA Silde TMA Sildes Data Mining Anatomopathological Analysis Quantitative Microscopy Image Acquisition 2

12. TMA Technology How to assist ? Manipulating heterogenous data - Images Building an organised prsentation of those items → Multimedia document generation Patients Histological Slide Study to conduct TMA Block Building process Biopsy Biological Marker Using : Constraints expressed in the query Virtual TMA Silde TMA Sildes Data Mining Anatomopathological Analysis Quantitative Microscopy Image Acquisition 2

13. TMA Technology How to assist ? Manipulating heterogenous data - Images Building an organised prsentation of those items → Multimedia document generation Patients Histological Slide Study to conduct TMA Block Building process Using : Experimental and technological Constraints Biopsy Biological Marker Using : Constraints expressed in the query Virtual TMA Silde TMA Sildes Data Mining Anatomopathological Analysis Quantitative Microscopy Image Acquisition 2

14. Multimedia Document to build Associated Patient Multimedia Document Medical Data Biological Material 1. User Query Spot Image 2. TMA Grid Image Annotation / Analysis Description de structures Quantification de marquage Slection / Organisation Criteria Biological Reference Cell Line / Normal Tissue 3. Similar Studies 4. Bibliography Publication / Knowledge Acquisition 5. Molecule / Gene Information Articles Database entries 3

15. Composition Patient Oriented Virtual Documents Specialisation Criteria Collection Adaptation engine Factual Level Logical Level Lay-out Level Document Logical Model Document Lay-out Model Virtual Document Patient Collection Task Oriented Virtual Document Final TMA Document Logical Comp. Lay-out Comp. Factual Comp. User Selection Organisation Presentation Query Layer Adaptation Plan User Query Goal Layer Adaptation Model Domain Layer Query Model 5

16. Composition Patient Oriented Virtual Documents Specialisation Criteria Collection Adaptation engine Factual Level Logical Level Lay-out Level Document Logical Model Document Lay-out Model Virtual Document Patient Collection Task Oriented Virtual Document Final TMA Document Logical Comp. Lay-out Comp. Factual Comp. User Selection Organisation Presentation Specialisation axis: Progressive refinement towards a particular case Query Layer Adaptation Plan User Query Goal Layer Adaptation Model Domain Layer Query Model 5

17. Composition Patient Oriented Virtual Documents Specialisation Criteria Collection Adaptation engine Composition axis: Process split-up to ease the adaptation Factual Level Logical Level Lay-out Level Document Logical Model Document Lay-out Model Virtual Document Patient Collection Task Oriented Virtual Document Final TMA Document Logical Comp. Lay-out Comp. Factual Comp. User Selection Organisation Presentation Query Layer Adaptation Plan User Query Goal Layer Adaptation Model Domain Layer Query Model 5

18. Conclusion • Adaptation engine architecture defined • For now applied to TMA technology • Better detailled on the Poster • Other applications in other domains • Analysis of data with temporal or spatial dimensions • Navigation in large volumes of structured data • Perspectives • Better characterise the knowledge required for the adaptation process • Define a quality assessment system for the generated documents • Validate the model with a prototype (in particular genericity) 5

19. Multimedia Data Management To Assist Tissue MicroArray Design Laboratoire TIMC-IMAG – Grenoble, France Equipes SIC et RFMQ Julie Bourbeillon, Catherine Garbay et Françoise Giroud AIME 2005 6