1. Medical Image Processor and Repository
( MIPAR)
Benjamin Aribisala – Lagos State University - Nigeria

2. Background Medical images are images acquired from humans or animals
Medical images are used for clinical diagnosis, treatment and patient management.
There are many methods of acquiring medical images. Each method has specific use, strengths or weaknesses
Medical Image analysis and computer vision provide a platform for developing computational techniques for converting raw images to meaningful information.

3. Scientific Problem
Some of the challenges in the field of medical image analysis
Imaging equipment are very expensive
Image acquisition is very expensive
There are limited availability of medical image analysts in Africa
Limited collaboration efforts and ability to share expertise amongst clinical experts
The advancements in internet technology, data communication and reduction in hardware cost has led to the birth of Science Gateway
Science Gateway can help in solving medical image analysis problems by offering tools for
Creating image repositories
Making image analysis tools available
Making workflow available
Adapting some of the tools to make them intelligent
Science Gateway is in top gear in the developed world but very sluggish in Africa
In particular, there is no platform for image analysis in Africa

4. Aim and Benefits
AIM
To develop an e-infrastructure that will serve as a repository and an image processor for medical images
BENEFITS
It is our hope that the proposed platform could lead to
Improved and timely diagnosis
Improved patient management
Increased life expectancy
Encourage collaboration
Safes cost of travelling to see other experts

5. What is MIPAR?
Medical Image Processor and Repository (MIPAR) is an e-infrastructure for sharing and analyzing medical images
The web address of MIPAR is
MIPAR is one of the products of the collaboration between Lagos State University and SCI-GAIA
For More information, contact us at

6. When Can I Use MIPAR? You need MIPAR if you
need medical images for your research
have medical images to share
have a case study to share
need an expert to process your medical images
How much will you pay for any of the services above?
Everything is free
I want to collaborate with your team
Just send an to

7. System Analysis and Design
Donate Images
Process Images
Download outputs
Download Free Images
Registered user
Analyze Images
Image Types CT
MRI
Doppler
Ultrasound
Anatomy
Brain
Liver
Lung
Chest
Image Format
.hdr/.img
.nii
.nii.gz
(.zip)
Processes
Brain Extraction
Image Segmentation
Image registration

8. System Requirements Software Tools Used for Development
Futuregateway
OAR
PHP
JSON
WAMP
Software Requirement for users
Web browser
Internet
Windows operating system or mac
Hardware Requirement for users
Pentium 4, 4GB RAM, 500 GB disk space

9. Modules of MIPAR Registration Process Analyze Donate Images
Download Images
Process
Images

10. Medical Image Processor and Repository
Home Page

11. Access through Federated Identity
Choose catch-all if in doubt

12. Registration using Federated Identity

13. MIPAR – Image donation (https://mipar.sci-gaia.eu)

14. MIPAR – Image search & download

15. MIPAR – Image search & download & visualise

16. MIPAR – Image processing (brain extraction, segmentation, etc.)

17. MIPAR – Processed Images (e.g. brain extraction and segmentation)

18. Analyze Module Perform Regression Compute correlation
Compare two groups within a dataset
Compare two measurements within a dataset

19. Future Plans and Conclusions
We are currently seeking funds to:
publicize MIPAR
get data into MIPAR
MIPAR was tested with Brain MRI Data,
we need to include other imaging modalities
We also need to include other anatomies
Catania Hackfest was very productive
Opportunity to learn about Science gateway tools
Gave Birth to MIPAR and to Lagos Hackfest
With MIPAR you can share, process and analyse medical images
Conclusions

20. The Team Appreciations
A big appreciation to the co-funders - SCI-GAIA, INDIGO-DATACLOUD AND ENEL
We appreciate Eko-Konnect and WACREN for establishing a link between Lagos State University and SCI-GAIA
The Team
Roberto Barbera, sci-gaia
Simon Taylor, sci-gaia
Benjamin Aribisala
Bruce Becker, sci-gaia
Olabanjo Olusola
Mario Torris
Rita Ricceri
Riccardo Bruno