No announcement yet.

LHDL data collection, fifth release: Femur Organ-Level measurement

This topic is closed.
  • Filter
  • Time
  • Show
Clear All
new posts

  • LHDL data collection, fifth release: Femur Organ-Level measurement

    The Computational Bioengineering Lab ­BIC by the
    Istituto Ortopedico Rizzoli in Bologna
    (Italy) announces the release of the fifth
    selection of data belonging to the Living Human
    Digital Library ­LHDL- multiscale musculoskeletal
    data collection, relative to LHDL_Donor1 .

    The new data resources available from today
    consist of experimental data on the right and
    left femora of LHDL_Donor1 which have been
    measured in vitro at the organ level, The
    published measurements are: whole bone stiffness,
    strain distribution, and bone strength under
    various relevant loading conditions. They refer
    to experiments focused either on the proximal
    femur or on the femoral diaphysis.
    In order to identify the source of these data, the data resource also includes:
    - a model of the bone surface, extracted
    from the high resolution CT scan (see fourth
    release, 1 Sep 2010 ) and the anatomical planes used as reference
    - the location of strain gauges
    - a schematisation of loading directions and boundary conditions

    A low-resolution model of the entire skeleton
    (named Locate) is also included, to make spatial
    alignment possible with other data resources coming from the same donor.

    The data can be accessed from the
    service, an interactive digital library service
    hosted on the Biomedtown portal, designed to
    manage and share a large collection of
    heterogeneous biomedical data. PhysiomeSpace
    provides free accounts with up to 1 GB of on-line
    storage space and it is free to use for no profit
    research purposes under the LHDL license
    A license for commercial use of the LHDL data
    collection is also available, for more information please contact:
    This initiative is part of a bigger plan which by
    the end of 2010 will see the publication of the entire LHDL_Donor1 collection.

    How to access the PhysiomeSpace resources:
    To be able to access the LHDL multiscale collection, you firstly need to:
    - register to the BiomedTown portal,
    - subscribe to the PhysiomeSpace user group,
    - install the PSLoader© client application.
    For more detailed instructions, please read the
    “How to get access to the service” section, at
    You are now ready to download the data
    repository. Go
    - search within the available data
    resources and then add those you wish to download
    to your basket, clicking on the shopping cart
    icon next to it. Now you are ready to download the resource with PSLoader©- Open PSLoader© and authenticate, inserting BT username and password.
    To finalise the download into PSLoader©, follow
    this path: Operations>Manage>Download from
    basket. Proceed saving the data. A window called
    “Download from basket” will open, listing the
    resources currently in your basket. At the end of
    the download process, the downloaded data
    resources will appear in the PSLoader© data tree,
    and you can start working on them.

    About the LHDL project:
    The Living Human Digital Library (LHDL) research
    FP6-2004-ICT- 026932) was a STREP Project
    co-funded by the European Commission's as part of
    the 6th Framework Programme. The project, under
    the scientific coordination of the Istituto
    Ortopedico Rizzoli (IOR, Italy), ran for three
    years from February 2006 to February 2009 and saw
    the participation of the University of
    Bedfordshire (U.K.), the Université Libre de
    Bruxelles (ULB, Belgium), the Open University
    (U.K.) and the CINECA Super Computing Centre (Italy).

    About PhysiomeSpace:
    On the basis of the technology developed during
    the LHDL, CINECA spin-off Super Computing
    Solutions (SCS) has recently started an
    interactive digital library service, called
    designed to manage and share with other
    researchers large collection of heterogeneous
    biomedical data such as medical imaging, motion
    capture, biomedical instrumentation signals, finite element models, etc.

    For further information on the data collection please visit:



    Giovanna Farinella, Martina Contin, Enrico
    Schileo and Marco Viceconti for the
    BioEngineering Computing Laboratory of Istituto
    Ortopedico Rizzoli, Bologna, Italy

    Giovanna Farinella
    Biomedical Engineer
    BioEngineering Computing Laboratory
    Istituti Ortopedici Rizzoli
    Via di Barbiano 1/10, 40126, Bologna (Italy)
    tel +39-051-6366965
    e-mail: or