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MIASGrid

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MIAS-Grid. Chris Rose, Katy Wolstencroft, Daniele Turi, Alan ... 'From medical images and signals to clinical ... XHTML Portal. ontological description, search, ... – PowerPoint PPT presentation

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Title: MIASGrid


1
MIAS-Grid
  • Chris Rose, Katy Wolstencroft, Daniele Turi, Alan
    Williams, Chris Taylor (University of Manchester)
  • Andrew Todd-Pokropek (UCL)

2
Talk Outline
  • Chris Rose
  • What is MIAS?
  • Medical image and signal interpretation
  • TODO
  • Katy Wolstencroft
  • myGrid platform workflows
  • project status

3
What is MIAS?
  • Medical Images and Signals
  • Interdisciplinary research consortium
  • Manchester, Oxford, UCL, Imperial
  • From medical images and signals to clinical
    information
  • 6-year project, just over half-way through
  • MIAS-Grid is one of the e-Science components

4
Project Objectives
  • e-Science workbench for medical imaging research
  • virtual organisation - MIAS IRC
  • distributed repository - discovery
  • myGrid platform
  • integrated workbench
  • semantic grid technology - ontologies
  • support for workflows

5
Image and Signal Interpretation
  • HiRes/3D/Time
  • Population-based studies
  • Groundtruth annotation
  • Computationally expensive
  • Complex workflows

6
Collaborative Research
  • Dispersed data algorithms
  • Clinical metadata
  • Ethical use/reuse
  • Information management
  • discovery, provenance, workflow

7
Quantitative Evaluation
  • Researchers need to evaluate their image and
    signal interpretation algorithms
  • Often no standard criteria (no standard data)
  • Repeatability (need the same data)
  • Effective data sharing enables quantitative
    evaluation

8
Data Sharing
  • Currently ad hoc (e.g. over the desk)
  • Ethical, legal and clinical governance issues
  • patient confidentiality - security and encryption
  • patient consent (who can do what with data)
  • Issues of good clinical practice
  • audit/provenance

9
Distributed Computation
  • Image signal interpretation algorithms are
    computationally expensive
  • Desire to offload/parallelise processing
  • Covered later by Katy

10
Proposed Solutions
  • Distributed repository of medical image signal
    data
  • Semi-automatic population of repository from
    DICOM headers (A. Williams)
  • Develop principled approaches to provenance (D.
    Turi)
  • myGrid middleware Taverna workflows (Katy)

11
Distributed Repository
  • XHTML Portal
  • ontological description, search, administration
  • Descriptions, files collections assigned URNs
  • Distributed, redundant storage component
  • Data upload and download clients
  • Command line GUI Java apps

12
Example Use Case
  • Demonstrate functionality through use cases
  • Group-wise non-rigid registration of MR brain
    images
  • managing image annotation data
  • parallelising an expensive optimisation (workflow)

13
myGrid
  • A suite of loosely-coupled components to allow
    users to construct, manage and publish in silico
    experiments
  • Workflow design and enactment
  • Distributed computing
  • Provenance data management

14
myGrid Information Model
Applications
15
myGrid Use Cases
16
myGrid Workbench Taverna
17
User Community Differences
18
Data Differences
19
Application Extensions
20
myGrid Evolution
  • Integrative biology project
  • long-running workflows for simulations
  • checkpointing
  • Computing power (North West Grid)
  • space for installing and running services
  • Iteration, scheduling, failover
  • can already do this with Taverna

21
Project Objectives
  • Use myGrid platform to
  • support sharing of algorithms data
  • support research best practices
  • Create a distributed repository for image, signal
    and related data
  • Analyse scaling results to support wider community

22
Progress
  • Ontology design
  • MR imaging protocol
  • knees study - vertical slice
  • Distributed repository architecture
  • Structured engagement with myGrid

23
Acknowledgements
  • Funded by EPSRC as part of the MIAS-IRC project
    From Medical Signals and Images to Clinical
    Information (EPSRC GR/N14248/01) and UK Medical
    Research Council Grant No. D2025/31
  • myGrid developers - EPSRC
  • Tim Cootes - MIAS IRC
  • AstraZeneca

24
Any Questions?
25
myGrid Background
  • Middleware for in silico experiments in biology
  • EPSRC e-science pilot project (2001-2005)
  • Manchester, Newcastle, Sheffield, Southampton,
    Nottingham, EBI and RFCGR industrial partners
  • New myGrid platform grant form June 2005
  • Big user community - more than 1500 downloads

26
Related Work
  • e-Diamond
  • IXI
  • MIAKT
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