Progress in Applications of GRID & e-Science in Medical Physics at IFIC

1. Progress in Applications of GRID & e-Science in Medical Physics at IFIC Gabriel Amorós, Faustin Roman and José Salt 10-12 January 2012 Presented by : José F. Salt Cairols

2. Overview 1.- Introduction 2.- PARTNER Project and framework 3.- HISP Platform 4.- Data Mining Studies 5.- Applications and perspectives

3. 1.- Introduction • Which is e-Science?: • GRID & e-Science Research Line: • To participate in projects, at different levels, in R + D + i to provide solutions in problems involving computational resources and establishing the synergies between researchers and the Informatic Service of IFIC, which supports and maintain the e-Science infrastructure deployed at the CPD. • Now the group is formed by 11 people (aprox.): G. Amorós, P. Briongos(*), C. Escobar(**), F. Fassi, A. Fernández, S. González de la Hoz, M. Kaci, , V. Lacort (*), A.Lamas(**), V. Méndez,(**) E. Oliver, J.Salt, J. Sánchez, V. Sánchez, M. Villaplana • : new in the group ** : left the group

4. Projects: • DATAGRID, CROSSGRID, IRISGRID, EGEE-I, EGEE-II, EGEE-III , EGI-INSPIRE, PARTNER , TIER2 (ATLAS), GRID-CSIC, Metacentro de GRID y Supercomptuación de la Comunitat Valenciana • COLLABORATIONS: IBERGRID, Red Española de e-Ciencia ,NGI, ENLIGHT • Common features: • Most of the problems are solved using sequential computing… • Some others (few) are solves by using parallel computing • Oriented to Data Storage and Data Management • High Experience in Monte Carlo calculations • There are 2 posible contributions: • Migrations of applications to GRID • New developments in e-Science • Example: HISP Platform (PARTNER)

5. Scientific Applications

6. Migration of Scientific Applications to GRID at IFIC Theroetical Physics Medical Physics Experimental High Energy Physics Astroparticle Nuclear Physics Lattice QCD PARTNER ID Alignment Beyond the Standard Model Medical Image Physics Analysis 6

7. 2.- PARTNER Project and the framework • HADRONTHERAPY uses particle beams to treat tumours located near Critical organs and tumours that respond poorly to conventional radiation Therapy. It has become evident that there is an emerging need for Reinforcing research in hadron therapy and it is essential to train Professional in this rapidly developing fielld • The ultimate goal of hadron therapy is to deliver more effective treatment to the Cancer patient • PARTNER is a 4-year Marie Curie Training project funded by the European Commision with 5,6 Meur which is aimed at the creationof the nexte generation of experts. Ten Academic Institutes adn Research Centers and 2 leading companies are participating in PARTNER , forming an unique miltidisciplinary and multinational European Network.

8. List of the research centers • CERN (Switzerland) • CNAO - Centro Nazionale di Adroterapia Oncologica (Italy) • TERA Fundation (Italy) • Gesellschaft fur Scwerionenforschumg (Darmstad- Germany) • Ebg Medaustron (Austria) • Ion Beam Applicacions – IBA (Belgium) • Heidelberg Ion Therapy Inc – HIT (Germany) • University of Surrey (UK) • University of Oxford (UK) • ETOILE Project (France) • Karolinska Institutet (Suecia) • IFIC (Valencia-Spain) • Main goal of the project: • The project has offered research and training opportunities to 25 young biologists, engineers, physicians and physicists and is allowing the to actively develop modern techniques for trating cancer in close collaboration with leading European Institutions. For this purpose PARTNER relies on cutting edge research and technology development, effective networking, and open access to national facilites as weel as providing training by specialists in this field

10. 3.- HISP Platform • Healthgrids: infrastructures comprising applications, services or Mw components that deal with specific problems arising in the processing of biomedical data using GRID Technologies • GRID Computing = coordinated resource sharing and problem solving in dynamic, multi-institutional organisation whilst ensuring strict confidentiality • Resources: databases. Computing power, medical devices,… • PARTNER ICT WorkPackages: to develop and inplement such a grid testbed for Hadrontherapy • A clinical scenario in which a patient goes from a local hospital to a Hadrontherapy center for treatment (referral) • Research Scenario in which clinical data are used to draw scientific conclusions HISP: Hadrontherapy Information Sharing Platform

14. Hadrontherapy Information Sharing Platform (HISP) PARTNER • Federation: virtual database provides a unified view on the actual data • Leave data where it was created and not copy it centrally (data warehousing) • Access to heterogeneous repositories • Login based on • password • X509 (grid-compatible) certificates • Role based access control • Doctor • Patient • Researcher • AdminSecurity

15. 4.- Data Mining Studies • PARTNER Project/GRID : achieved by putting in place the HISP platform • PhD work (original part): to perform data mining studies by using the HISP platform in the Hadron Therapy context • Problem: we have not enough clinical data to apply Data Mining… so we are using the data coming from GRID Computing Monitoring • The approach for GRID Computing has been described in the following Ph.D. thesis: • ‘Using sophisticated Data Mining for Fault Diagnosis and Recovery in GRID Infrastructures’, Gerhild Maier • In the case of Hadrontherapy, we can establish the following correspondance: • Job = patient • Site - diagnosis/type of cancer • Faults -> side effects • …. • To take profit of Data Mining applied to GRID Computing case and to ‘export’ it to the Hadrontherapy context

16. (2) Application of Data Mining techniques to GRID Monitoring data to automatically reveal obscured information about facilly grid components responsible for failing grid jobs (3) Design of an Expert System which extends the automatically generated information about grid faults with information about recovering from faults • (1) Development and extension of an existing monitoring tool which collects monitoring information about all the grid resources ans submitted grid jobs QAOES: Quick Analysis Of Error Sources

18. 5.- Conclusions and Perspectives • Collaboration between GRID & computing group and the Medical Physics groups at IFIC • Excellent opportunity: • Training network: ESR (Early Stage Researcher) • Multidisciplinary • Ph. D. Thesis of Faustin Roman (ESR@CERN) • New developments in e-Science • Prototype data-driven collaboration portal • Heterogeneous database integration • Forms for data taking • Search patterns in federation: algorithms, data privacy and resilience • Formalising data capturing forms • Prediction model for side effects • Potential of the group in supervising Ph.D. activities in the GRID & e-Science field

19. Faustin Roman Daniel Abler Vassiliki Kanelopoulos

20. Backup Slides

22. A Particle Training Network for European Radiotherapy (PARTNER): Hadrontherapy Information Sharing Platform (HISP) PARTNER Portal • Data Federation and Presentation: • Unified view over distributed data sources • Secure and intuitive portal • Data Collection Services and Semantic Interoperability: • Semantics of data capturing forms • Services for electronic data capture • Analyzing medical information: • HT treatment indication • Predict treatment outcome • PARTNER setup: • DB1: MySQL (IFIC) , DB2:Oracle (CERN) Dynamic Federated Virtual DB DB1 DB2