No announcement yet.

LHDL data collection,sixth release: Femur Tissue-Level measurement.

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

  • LHDL data collection,sixth release: Femur Tissue-Level measurement.

    The Computational Bioengineering Lab¬BIC by the Istituto Ortopedico Rizzoli
    in Bologna (Italy) announces the release of the sixth 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 data on the left and
    right femora of LHDL_Donor1 which have been measured in vitro at the tissue
    The data were obtained from three different validated data collection
    1- mechanical compressive tests of regular cylindrical samples extracted
    from trabecular and cortical regions of the bones;
    2- results of image analysis on microCT datasets on the same specimens
    3- histological analysis of planar samples extracted from trabecular and
    cortical regions of the bones.

    In order to identify the source of these data, the data resource also
    - a model of the bone surface extracted from the high resolution CT scan
    (see fourth release, 1 Sep 2010 )
    - the anatomical planes used as reference
    - the locations of the specimens used for the mechanical and microCT tests
    (please set a suitable level of transparency of the femoral surface to view
    - the location of planes used to cut the bone and extract the specimens for
    the histological tests

    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
    PhysiomeSpace 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 agreement
    public/LHDLdata_Licence. 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 to and:
    - 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
    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 project
    (, 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 PhysiomeSpace,
    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