Organisation(s):

Lagos State University, Computer Science Department – Nigeria

Department of Physics and Astronomy – University of Catania – Italy

Champion(s):

Prof. Benjamin ARIBISALA

Mr. Olusola OLABANJO

Other Member(s):

Dr. Oluwatoyin ENIKUOMEHIN
Ing. Mario TORRISI
Prof. Roberto BARBERA
Rita RICCERI

 

Use Case Description

Medical Image Processor and Repository (MIPAR)
MIPAR is an e-Infrastructure that contains image repository and image processing tools. The image repository lets users share their images with other researchers. They can upload their images so that others can have access to them and they can also download any image from the repository at no cost. The image processing tools give users the opportunity to process their images on a Distributed Computing Infrastructure. All they need to do is to upload their images and then choose the type of processing they want. The images are then processed and they can download the output as soon as it becomes available.


e-Infrastructure Services Exploited

For storing and retrieving medical images, MIPAR adopted the Sci-GaIA Open Access Repository (OAR), in which specific sub-categories have been created for the use case. A DataCite-issued Digital Object Identifier (DOI) is automatically assigned by the OAR to each image to improve its findability, discoverability and reusability.

For processing medical images, the MIPAR Portal is connected to a FutureGateway API Server – developed in the context of the INDIGO-DataCloud project – which seamlessly executes jobs on local, Grid and Cloud resources belonging to the Africa & Arabia Regional Operation Centre.

Architecture

Figure to be included.

References

Presentation 1Presentation 2Poster

Current Implementation of the Use Case

MIPAR Portal, Code repository