Presented by Dr Maria Susana Avila Garcia at the

1. A Virtual Research Environment for Cancer Imaging (VRE-CI) RIC Workshop 26 July 2010

2. Outline Background Project Overview DICOM Image functionality Image analysis Sharing project outputs Questions

4. Reusing existing pieces of code.

6. Show result on a computer/laptop screen.

7. Do not have the opportunity to interact with the applications.

8. No user interface defined for them Hospital

10. Reuse it as part of a bigger solution.

12. Own data

13. Different image formatsScientific Workflows/ Activities

15. 22 months 01/05/2009 – 28/02/2011.

16. Project Partner: Microsoft Research

17. Lee Dirks

18. Alex Wade

19. Roger Barga

20. Team members:

21. PI. Prof. Anne E. Trefethen

22. Co-I. Dr. Vicente Grau

23. Project Manager Dr. M. Susana Avila-Garcia.

26. Leveraging the work of an existing Microsoft funded project on the development of novel segmentation algorithms for colorectal cancer images.

27. Use case to ensure that the main elements of cancer imaging research are considered.

28. Fluorescent microscopy.

29. Gray Institute of Radiation, Oncology and Biology.

31. Loading images into the system More secure way to make images available to researchers. Ensuring datasets are ‘validated’. Avoid storing data in media that might not be stored/managed securely. Clinicians may have a way to track which datasets they have made available and the associated results back from researchers.

32. Subjects No confidential information Confidential information No need to remove any metadata Anonymised data sets Define personalised filters to fit needs from each user/research scenario

33. Configuration Files Use of configuration files to personalise metadata filters according to each user preferences.

34. Loading images

35. Image Metadata

36. Dicom Image Properties / Zoom in

37. Image Viewer Adapt an existing Deep Zoom viewer [http://images.cancergrid.org/score/] Need a DICOM image filter to convert to bmp or jpeg format. Developed using the Insight Toolkit ITK.

38. What is Silverlight DeepZoom? Multiple layers at different resolutions Enables quick zooming and panning of large images Requires Silverlight browser plugin

39. Image Viewer / Deep zoom functionality

41. Image analysis

43. modify the flow of activities in an easy way and

46. Can be supported on the cloud

47. SP admin not required

48. Could lead to more effective (cheaper) use of computer systems.

51. Thanks!

52. Questions? Project website: http://www.oerc.ox.ac.uk/research/vre-ci