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A Web-enabled Collaborative Environment for
Sharing and Reusing Cardiovascular Anatomical
Models

Eric Kerfoot1, Daniele Gianni, Steve McKeever, and Nicolas Smith
eric.kerfoot@kcl.ac.uk
Dept. of Biomedical Engineering
King’s College London
Overview


• Context
• Motivation
• Needs
• AMDB main characteristics and demo
• Collaboration over the investigative process




                                                 2
Context


• Cardiovascular anatomical models represent an entire research area
• The production of an anatomical model requires considerable
  investments in terms of human resources and scientific equipment
• Need for achieving economy of scale in the production and use of
  anatomical models
• In a cardiovascular investigation, anatomical models are only a part of
  the data produced and used. Others are:
    – Cardiac images
    – Cellular models (representing the cardiac functional aspects)
    – Publications describing models, experiences, uses, etc.
    – Simulation experiments (anatomical + cellular models + input
       parameters)
    – Clinical data, etc.
                                                                     3
Motivation


Cardiovascular disease is responsible for 2 million deaths per annum
 in Europe alone, and is a primary cause of mortality globally [1]

New methods and tools are needed to:
1) lower the cost of such investigations to provide better services to a
  wider population
2) allow patient-specific investigations and treatments by means of
  quantitative heart models

Software tools for sharing and reuse cardiovascular anatomical
  models can contribute to achieve 1) and 2).

[1] The World Health Organization, Fact sheet N°317. January 2011, http://www.who.int




                                                                                        4
Needs


From the cardiovascular community, we have
 identified the following needs:
• foundational
• control
• monitoring
• communication
• integrative



                                             5
Introducing AMDB



Anatomical Model Database (AMDB) is an online collaborative environment
  for sharing and reuse anatomical models, in particular cardiovascular ones
AMDB addresses the identified needs by:
- providing means for model sharing, search, upload, download, curation and
  commenting
- linking anatomical models to publications, and to cellular models embedded in
  simulation of cardiac functions
- using rendering engine for interactive graphical 3D visualisation
- classifying models using the Foundation Model of Anatomy ontology
- exporting models in popular and interoperable data formats
- enabling model benchmarking



                                                                              6
Introducing AMDB



AMDB currently stores dozens of models from leading groups, including
 Auckland Bioengineering Institute, King’s College London, INRIA,
 Oxford University, Philips, Sheffield University, Universitat Pompeu
 Fabra, Amsterdam Medical Centre, Leeds University, University
 College London, Medical University of Graz, Karlsruher Institut fur
 Technologie, Simula Research Laboratory, Siemens, etc.




                                                                   7
Collaboration over the Investigative Process

                                      Clinician
                                                                          Imaging Researcher
                                       Step 1         MRI
                          Heart                       MRI
                                                       MRI                          Step 2          VTK / ExFormat /
                                       MRIs            MRI                                             FieldML
                                     Production                             Anatomical Model
                Patient                                                     construction from
                Health                                     MRI
                                                                                  MRIs
                Record                                   Repository
                                                                                                           Step 3
                                                                                                      Storing Model in
                          Patient                                                                          AMDB


                                                                                                    Step 4

                                                       Internet                                       Retrieving Model
                                                                                                        from AMDB
                                                                                             Step 6
                                                                                                Depositing Simulation
                                                                                                    Output Data
                                                                               Step 5
                          AMDB
                                                                             Retrieving
                                                                          Functional Model
                                                                            (CellML file)
  Key                                                                                                      OpenCMISS
        Repository             Data flow (non AMDB)
        Document               Data flow (AMDB)               PMR
                                                      (Cellular Model Repository)
        Actor                SW System
                                                                                               Functional Researcher
                                                                                                                         8
References


http://amdb.isd.kcl.ac.uk/

Dr. Eric Kerfoot, AMDB Admin
amdb_admin@kcl.ac.uk
Dept. of Biomedical Engineering
King’s College London

D. Gianni, S. McKeever, R. Britten, T. Yu, H. Delingette, A. Frangi, P. Hunter,
  and N. Smith, “Sharing and Reusing Anatomical Models of the Heart over
  the Web: A Step Towards the Implementation of the Virtual Physiological
  Human Project,” Philosophical Transaction of the Royal Society A, special
  issue on the Virtual Physiological Human Project, vol. 369, pp. 3039-3056,
  June, 2010.

                                                                              9
Acknowledgements


AMDB is supported by the European Commission (FP7-ICT-2007-224495:
  euHeart Project).

AMDB Team would like to thank the Auckland Bioengineering Institute, the
  ASCLEPIOS team, at INRIA Sophia-Antipolis, the CILAB, at Universitat
  Pompeu Fabra, the X-ray Imaging Systems department of Philips Research
  Aachen and Munich, the Academic Unit of Medical Physics at University of
  Sheffield, and the Computational Biology Group at the Computing
  Laboratory - University of Oxford, for providing the first geometrical models
  uploaded in AMDB.

AMDB Team is also very grateful to Mr. Andrew Cantell (Auckland
  Bioengineering Institute), Mr. John Peachey (Computing Laboratory,
  University of Oxford), and Mr. Davide Poccecai (King's College) for their
  patient assistance in the deployment process.


                                                                              10

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Anatomical Model Database

  • 1. A Web-enabled Collaborative Environment for Sharing and Reusing Cardiovascular Anatomical Models Eric Kerfoot1, Daniele Gianni, Steve McKeever, and Nicolas Smith eric.kerfoot@kcl.ac.uk Dept. of Biomedical Engineering King’s College London
  • 2. Overview • Context • Motivation • Needs • AMDB main characteristics and demo • Collaboration over the investigative process 2
  • 3. Context • Cardiovascular anatomical models represent an entire research area • The production of an anatomical model requires considerable investments in terms of human resources and scientific equipment • Need for achieving economy of scale in the production and use of anatomical models • In a cardiovascular investigation, anatomical models are only a part of the data produced and used. Others are: – Cardiac images – Cellular models (representing the cardiac functional aspects) – Publications describing models, experiences, uses, etc. – Simulation experiments (anatomical + cellular models + input parameters) – Clinical data, etc. 3
  • 4. Motivation Cardiovascular disease is responsible for 2 million deaths per annum in Europe alone, and is a primary cause of mortality globally [1] New methods and tools are needed to: 1) lower the cost of such investigations to provide better services to a wider population 2) allow patient-specific investigations and treatments by means of quantitative heart models Software tools for sharing and reuse cardiovascular anatomical models can contribute to achieve 1) and 2). [1] The World Health Organization, Fact sheet N°317. January 2011, http://www.who.int 4
  • 5. Needs From the cardiovascular community, we have identified the following needs: • foundational • control • monitoring • communication • integrative 5
  • 6. Introducing AMDB Anatomical Model Database (AMDB) is an online collaborative environment for sharing and reuse anatomical models, in particular cardiovascular ones AMDB addresses the identified needs by: - providing means for model sharing, search, upload, download, curation and commenting - linking anatomical models to publications, and to cellular models embedded in simulation of cardiac functions - using rendering engine for interactive graphical 3D visualisation - classifying models using the Foundation Model of Anatomy ontology - exporting models in popular and interoperable data formats - enabling model benchmarking 6
  • 7. Introducing AMDB AMDB currently stores dozens of models from leading groups, including Auckland Bioengineering Institute, King’s College London, INRIA, Oxford University, Philips, Sheffield University, Universitat Pompeu Fabra, Amsterdam Medical Centre, Leeds University, University College London, Medical University of Graz, Karlsruher Institut fur Technologie, Simula Research Laboratory, Siemens, etc. 7
  • 8. Collaboration over the Investigative Process Clinician Imaging Researcher Step 1 MRI Heart MRI MRI Step 2 VTK / ExFormat / MRIs MRI FieldML Production Anatomical Model Patient construction from Health MRI MRIs Record Repository Step 3 Storing Model in Patient AMDB Step 4 Internet Retrieving Model from AMDB Step 6 Depositing Simulation Output Data Step 5 AMDB Retrieving Functional Model (CellML file) Key OpenCMISS Repository Data flow (non AMDB) Document Data flow (AMDB) PMR (Cellular Model Repository) Actor SW System Functional Researcher 8
  • 9. References http://amdb.isd.kcl.ac.uk/ Dr. Eric Kerfoot, AMDB Admin amdb_admin@kcl.ac.uk Dept. of Biomedical Engineering King’s College London D. Gianni, S. McKeever, R. Britten, T. Yu, H. Delingette, A. Frangi, P. Hunter, and N. Smith, “Sharing and Reusing Anatomical Models of the Heart over the Web: A Step Towards the Implementation of the Virtual Physiological Human Project,” Philosophical Transaction of the Royal Society A, special issue on the Virtual Physiological Human Project, vol. 369, pp. 3039-3056, June, 2010. 9
  • 10. Acknowledgements AMDB is supported by the European Commission (FP7-ICT-2007-224495: euHeart Project). AMDB Team would like to thank the Auckland Bioengineering Institute, the ASCLEPIOS team, at INRIA Sophia-Antipolis, the CILAB, at Universitat Pompeu Fabra, the X-ray Imaging Systems department of Philips Research Aachen and Munich, the Academic Unit of Medical Physics at University of Sheffield, and the Computational Biology Group at the Computing Laboratory - University of Oxford, for providing the first geometrical models uploaded in AMDB. AMDB Team is also very grateful to Mr. Andrew Cantell (Auckland Bioengineering Institute), Mr. John Peachey (Computing Laboratory, University of Oxford), and Mr. Davide Poccecai (King's College) for their patient assistance in the deployment process. 10