Julie Bourbeillon 26/07/2005 Multimedia Data Management To Assist Tissue MicroArray Design...

Julie Bourbeillon 26/07/2005

Multimedia Data Management To Assist Tissue MicroArray Design

Laboratoire TIMC-IMAG – Grenoble, FranceEquipes SIC et RFMQ

Julie Bourbeillon, Catherine Garbay et Françoise Giroud

AIME 2005

1


TMA Technology

2

Study to conduct

Patients


TMA Technology

Histological Slide

Biopsy

Study to conduct

Patients

2


TMA Technology

Histological Slide

Biopsy

2

Study to conduct

Patients

TMA BlockBuilding process


TMA Technology

Histological Slide

Biopsy

2

Study to conduct

BiologicalMarker

TMASildes

Patients



TMA Technology

Histological Slide

Biopsy

2

Study to conduct

ImageAcquisition

BiologicalMarker

TMASildes

Patients



TMA Technology

Histological Slide

Biopsy

2

Study to conduct

Data Mining

ImageAcquisition

BiologicalMarker

TMASildes

Patients


Anatomopathological Analysis

Quantitative Microscopy


TMA Technology

Histological Slide

Biopsy

2

Study to conduct

Virtual TMA Silde

Data Mining

ImageAcquisition

BiologicalMarker

TMASildes

Patients





TMA Technology

Histological Slide

Biopsy

2

Study to conduct

Virtual TMA Silde

Data Mining

ImageAcquisition

BiologicalMarker

TMASildes

Patients




Assist With Real TMA Blocks Construction

Building plan for TMA Blocks


TMA Technology

Histological Slide

Biopsy

2

Study to conduct

Virtual TMA Silde

Data Mining

ImageAcquisition

BiologicalMarker

TMASildes

Patients




Assist With TMA Data Mining Building TMA

Virtual Slides


TMA Technology

Histological Slide

Biopsy

2

Study to conduct

Virtual TMA Silde

Data Mining

ImageAcquisition

BiologicalMarker

TMASildes

Patients




How to assist ?Manipulating heterogenous data - ImagesBuilding an organised prsentation of those

items→ Multimedia document generation


TMA Technology

Histological Slide

Biopsy

2

Study to conduct

Virtual TMA Silde

Data Mining

ImageAcquisition

BiologicalMarker

TMASildes

Patients




Using :Constraints expressed in

the query




TMA Technology

Histological Slide

Biopsy

2

Study to conduct

Virtual TMA Silde

Data Mining

ImageAcquisition

BiologicalMarker

TMASildes

Patients




Using :Constraints expressed in

the query

Using :Experimental and

technological Constraints




Multimedia Document

Multimedia Document to build

Slection / OrganisationCriteria

1. User Query

2. TMA Grid

3. Similar Studies

Spot Image

Associated PatientMedical DataBiological Material

Image Annotation / AnalysisDescription de structuresQuantification de marquage

Biological ReferenceCell Line / Normal Tissue

4. Bibliography

5. Molecule / GeneInformation

Publication / Knowledge Acquisition

ArticlesDatabase entries

3


Adaptation engine

5

PatientOrientedVirtual

Documents

Factual Comp.

LogicalComp.

Factual Level

VirtualDocument

PatientCollection

DocumentLogical Model

Task OrientedVirtual

Document

Lay-outComp.

DocumentLay-out Model

User

FinalTMA

Document

Logical Level Lay-out Level

Selection Organisation Presentation

Query Layer

Goal Layer

Domain Layer

Composition

Sp

ecia

lisa

tion

User QueryAdaptation Plan

Adaptation Model

CriteriaCollection

QueryModel


Adaptation engine

5


Documents

Factual Comp.

LogicalComp.

Factual Level

VirtualDocument

PatientCollection



Document

Lay-outComp.


User

FinalTMA

Document



Query Layer

Goal Layer

Domain Layer

Composition

Sp

ecia

lisa

tion


Adaptation Model

CriteriaCollection

QueryModel

Specialisation axis:Progressive refinement towards a particular case


Adaptation engine

5


Documents

Factual Comp.

LogicalComp.

Factual Level

VirtualDocument

PatientCollection



Document

Lay-outComp.


User

FinalTMA

Document



Query Layer

Goal Layer

Domain Layer

Composition

Sp

ecia

lisa

tion


Adaptation Model

CriteriaCollection

QueryModel

Composition axis:Process split-up to ease the adaptation


● 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)

Conclusion

5


Multimedia Data Management To Assist Tissue MicroArray Design

Laboratoire TIMC-IMAG – Grenoble, FranceEquipes SIC et RFMQ

Julie Bourbeillon, Catherine Garbay et Françoise Giroud

AIME 2005

6

Julie Bourbeillon 26/07/2005 Multimedia Data Management To Assist Tissue MicroArray Design...

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