Innovative Solutions for Medical Image Analysis Challenges
"Explore how the MIPAR extension project addresses challenges in medical image analysis by enabling statistical analysis and enhancing collaboration through Science Gateways. Discover the impact of e-Research Hackfest in advancing image analysis tools and workflows in Africa."
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MIPAR Extension MIPAR Extension- - Final report Final report Olusola Olabanjo Lagos State University - Nigeria (olabanjoolusola@yahoo.com) WACREN e-Research Hackfest Lagos (Nigeria) This project has received funding from the European Union s Horizon 2020 research and innovation programme under grant agreement n 654237
Outline Outline Scientific problem Work done during the Hackfest Results achieved so far Future plans Summary and conclusions 2
Background 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 provides a platform for developing computational techniques for converting the raw images to meaningful information. 3
Scientific Problem 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 Nigeria 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 of image repository 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
Scientific Problem Scientific Problem MIPAR was developed to address the challenges in the field of medical image analysis However, MIPAR does not currently allow statistical analysis Statistical analysis is required for guidance during diagnosis 5
Work Done During Work Done During Hackfest Hackfest Extending MIPAR interface to allow for statistical analyses. Write bash scripts for computing image volumes Write R shell scripts for: Performing Regression Computing correlation Comparing two groups within a dataset Comparing two measurements within a dataset Make the scripts available on MIPAR using the FutureGateway Commence OAR cloning for LASU 6
Results Achieved So Far Results Achieved So Far Extending MIPAR interface to allow for statistical analyses. Write bash scripts for computing image volumes Write R shell scripts for: Performing Regression Computing correlation Comparing two groups within a dataset Comparing two measurements within a dataset Make the scripts available on MIPAR using the FutureGateway OAR has been commenced for LASU repository 7
Future Plans Future Plans Completing LASU OAR in earnest 8
Summary and Conclusions Summary and Conclusions In summary, there is no such thing as monopoly in scientific research like any other field of research. Opportunity to meet various personalities during hackfest was worth it. The exposure was excellent. Hands-on by Mario and Bruce was spot-on. It has been 10 solid days of increased exposure The food was great My horizon has improved, I now look to do even better Finally, I look forward to having as many more of this training as can be made available in the nearest future. 9
Thank you! sci-gaia.eu info@sci-gaia.eu
