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  • Complete female 3D human skeleton model available on PhysiomeSpace

    Super Computing Solutions –SCS- and the
    Computational Bioengineering Lab –BIC- by the
    Istituto Ortopedico Rizzoli in Bologna (Italy)
    are happy to announce the release of the first
    dataset that composes the Living Human Digital
    Library –LHDL- multiscale musculoskeletal data
    collection. The data represent the
    three-dimensional skeletal anatomy of the cadaver
    of a 78 years old woman with normal morphology
    (height: 171 cm, weight: 64 kg, from now on referred to as “LHDL_Donor1”).
    From today the consortium will start releasing
    various datasets with a cadence of two weeks. By
    the end of the 2010 the entire LHDL multiscale
    collection on LHDL_Donor1 will be made available.
    The bone surfaces of LHDL_Donor1 were obtained
    from the segmentation of whole body Computer
    Tomography (CT) images, in three stages:
    - A qualified technician performed gross segmentation;
    - A senior anatomist performed a
    refinement of the segmentation on all bones.
    Joint surfaces were segmented in order to respect joint morphology;
    - 3D polygonal surface models were
    generated for the external surface of each bone.

    The bone surfaces can be downloaded from the PhysiomeSpace service at
    www.physiomespace.com/ps_home
    and freely used for no profit research purposes
    under the LHDL license agreement
    www.physiomespace.com/public/LHDLdata_Licence.
    The service currently provides free accounts with
    up to 1 Gb of on-line storage space. A license
    for commercial use of the LHDL data collection is
    also available. If you wish to have more
    information on this matter please contact: bic@ior.it.
    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
    www.physiomespace.com/access.

    You are now ready to download the data
    repository. Go
    to www.physiomespace.com/ps_home 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 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
    project
    (www.livinghuman.org,
    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.

    About the LHDL multiscale musculoskeletal data collection:
    The first large data collection that will be
    hosted by the PhysiomeSpace service is the LHDL
    multiscale musculoskeletal data collection, that
    when fully published will constitute one of the
    most extensive data collection publicly available of this kind.
    The collection, generated by researchers at ULB
    and IOR, is based on two female cadavers obtained
    from the ULB donation program, and on a group of
    body-matched volunteers recruited at IOR.
    The data collection includes:
    - Body level: in vitro whole-body CT and
    MRI scans were performed. From those imaging data
    3D models of bones and muscles were obtained
    through segmentation. In parallel, in-vivo motion
    analyses (stereophotogrammetry, force plate
    measurements, and electromyography) were
    performed on volunteers, including two volunteers
    that anthropometrically matched the two cadavers.
    - Organ level: passive joint kinematics
    was obtained using conventional
    stereophotogrammetry with skeletal-attahced
    frames. Full deep dissection of the cadavers made
    it possible the digitization of various muscle
    parameters (pennation angles, origin & insertion
    location, etc.) and the measurement of muscle
    mass and volume. Long bones were then dissected
    and bone biomechanical properties measured (whole
    bone stiffness, strain distribution, bone strength).
    - Tissue level: bone properties were
    further processed at tissue level by performing
    microCT of cancellous bone biopsies taken from
    various regions of the skeleton and by testing
    the mechanical properties of both cortical and cancellous bone specimens.
    - Cell level: Muscle sarcomere length
    was obtained using a laser diffraction technique for various muscle biopsies.
    - Constituent level: to quantify bone
    structure at sub-tissue level, ash density,
    collagen orientation, micro-hardness, chemical composition were measured.
    What makes this collection unique is that all
    data come from the same body, and are registered
    in space one to each other into a multiscale
    hierarchy defined in a unique global reference framework.
    Full details on the LHDL Data collection can be found
    http://www.biomedtown.org/biomed_town/LHDL/Reception/lhp-public-repository/public_D/plfng_view.

    A complete description of the methods used to
    collect the various data types can be found
    http://wwwbiomedtown.org/biomed_town/LHDL/Reception/collection/.




    --------


    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: farinella@tecno.ior.it or bic@ior.it
    ---------------------------------
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