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