Radiology Image Archiving

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Mapping of Images from Different Laboratory Imaging Environments into Central Imaging Archives

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Mapping of Images from Different Laboratory Imaging Environments into Central Imaging

Archives

Md Mostafizur Rahmanmostafizur.rahman@med.uni-goettingen.de

3rd ITIS Research Day, TU Braunschweig

08-07-2013

Multiple Sclerosis (MS)

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Background Multiple Sclerosis MRI has become a major tool for the diagnosis of MS

SS 2013 – Medical Informatics – mostafizur.rahman@med.uni-goettingen.de

Background: The Competence Network Multiple Sclerosis (KKNMS)

Organization and geographical structure of the KKNMS (2012)http://www.kkn-ms.de/

3SS 2013 – Medical Informatics – mostafizur.rahman@med.uni-goettingen.de

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B7.3 (DTI)

MS-BB MRI*

PatternMS/NMO

Cohort

Central MRI-DB

20 study centersCohort Study

2 coordination offices (Gö + Bo)

20 study centersCohort Study

2 coordination offices (Gö + Bo)

standardized MRI

GöSubproject

PatternMS/NMO

GöSubproject

PatternMS/NMO

unstandardized MRI

post mortem MRIa

Bo+M+MzSubproject B7.3

Bo+M+MzSubproject B7.3 DTI a

GöQuality assurance

and biomarker research

GöQuality assurance

and biomarker research

Bo Quality assurance

Bo Quality assurance

MAlgorithm validation

MAlgorithm validation

MzBiomarker research

MzBiomarker research

Gö, SubprojectMS-Brain Bank Gö, SubprojectMS-Brain Bank

KKNMS: Multiple Sub-Projects

GöFuture research

GöFuture research

OnetimeRegular

Regular

Multiple times

Regular

Multiple times

Data importData export

SS 2013 – Medical Informatics – mostafizur.rahman@med.uni-goettingen.de

Research Project

• My first step is to analyze two imaging software solutions (XNAT, CHILI) and Identify the limitations to handle the interface.

• Second step is to investigate the data lifecycle and workflow from the study center to the research environment (and beyond).

– Segregate the curbs and pronounce the parameters to contribute data provenance transparency.

5SS 2013 – Medical Informatics – mostafizur.rahman@med.uni-goettingen.de

Göttingen Coordinator Office

Bochum Coordinator Office

Cohort Database Göttingen

CHILI

Study Center-1 Study Center -2 Study Center-3 Study Center-4 Study Center-5 Study Center-6 Study Center-20

Upload Via CHILI Web Interface

CD Copy (Postal Service)

Upload Via CHILI Web Interface

KNMS

Subject Identification Code

Patient Name

Patient ID

MRI Study

Image

CHILI Data hierarchy

6SS 2013 – Medical Informatics – mostafizur.rahman@med.uni-goettingen.de

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XNAT developed by the Neuroinformatics Research Group at the Washington University, St. Louis.

XNAT Image Data Hierarchy

XNAT database

Project

Patient ID

Patient Name

MRI Study

Image

Subject

Session

DICOM metadata

SS 2013 – Medical Informatics – mostafizur.rahman@med.uni-goettingen.de

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Own System

Own System Own

System

Mainz Local Research Institute

Munich Local Research Institute

Bochum Local Research Institute

Göttingen Coordinator Office

Bochum Coordinator Office

Cohort Database

CHILI

XNAT

Study Center-1 Study Center -2 Study Center-3 Study Center-4 Study Center-5 Study Center-6 Study Center-20

Upload Via CHILI Web Interface

Göttingen Local Research Institute

Database

CD Copy (Postal Service)

Upload Via CHILI Web Interface

COHORT Project

Analyze Data Structure and Data

Transmission

Analyze Data Structure and Data

Transmission

SS 2013 – Medical Informatics – mostafizur.rahman@med.uni-goettingen.de

DICOM

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DICOM object identification

SS 2013 – Medical Informatics – mostafizur.rahman@med.uni-goettingen.de

XNAT Archive View

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Patient ID= Session

SS 2013 – Medical Informatics – mostafizur.rahman@med.uni-goettingen.de

Göttingen Coordinator Office

Bochum Coordinator Office

Cohort Database Göttingen

CHILI

Study Center-1 Study Center -2 Study Center-3 Study Center-4 Study Center-5 Study Center-6 Study Center-20

Upload Via CHILI Web Interface

CD Copy (Postal Service)

Upload Via CHILI Web Interface

Investigate MRI Data Lifecycle

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Pronounce the Parameters

•Media disruptions •Current limitations

•Pitfalls

SS 2013 – Medical Informatics – mostafizur.rahman@med.uni-goettingen.de

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Evaluate the possibility of designing a system based on internationally standardized IHE profiles/components that covers the complete data lifecycle for MRI data in biomedical research projects.

Thesis

SS 2013 – Medical Informatics – mostafizur.rahman@med.uni-goettingen.de

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Prof. Otto RienhoffDirector, Institute of Medical Informatics.

Karoline BuckowKKNMS Research Project

Institute of Medical Informatics

SS 2013 – Medical Informatics – mostafizur.rahman@med.uni-goettingen.de

Thomas FrankeHead (Imaging Network Research Group)

Lika Svanadze Md Mostafizur Rahman

“Imaging Network” Research Group

Thank you

Further Questions and Advice

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