The Computational Bioengineering Lab¬BIC by the
Istituto Ortopedico Rizzoli in Bologna
(Italy) announces the release of the ninth
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 Tibia and
Fibula of LHDL_Donor1 which have been measured in vitro at the tissue level.
The data were obtained from three different
validated data collection procedures:
1- mechanical compressive tests of regular
cylindrical samples extracted from trabecular and
cortical regions of the tibiae;
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 tibiae and fibulae.
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 )
* the anatomical planes used as reference
* the locations of the specimens used for the mechanical and microCT tests
* 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.
Please be aware that bone surfaces on the locate
may appear slightly different since they have
been obtained from segmentation of the whole body CT, which is less detailed.

The data can be accessed from the
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
license agreement
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 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
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. If you wish to have more information on the
service, please contact:

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