Speaker
Mr
David Brasse
(Institut Pluridisciplinaire Hubert Curien, UMR 7178, Strasbourg, France)
Description
Recent developments in the field of micro-CT imaging have revolutionized the
ability to examine in vivo the living experimental animal models such as mouse with
acceptable spatial resolution according to the animal size. One of the main
requirements of in vivo imaging for biological researchers is a reduced acquisition
and reconstruction time for screening purposes. We previously introduced inline
acquisition and reconstruction architecture to obtain in real time the 3D
attenuation map of the animal [1]. The micro-CT system, component of the AMISSA
platform, is based on commercially available X-ray detector and micro-focus X-ray
source. The reconstruction architecture is based on a cluster of PCs where a
dedicated data communication scheme combining serial and parallel treatments is
implemented. One of the key points is to take full advantage of hyperthreading
capabilities proposed by recent processors. A dedicated data acquisition system is
also developed to obtain high performance transmission rate between the detector
and the reconstruction architecture. With the proposed architecture, we
demonstrated that is already possible to obtain a real-time reconstructed image of
a whole body mouse in 358s. This value corresponds to the time required to acquire
768 projections of 2048x2048 pixels and to backproject them inside a volume of 140
Mega voxels with 100µm spatial resolution. In order to decrease this
acquisition/reconstruction time, several parameters have to be optimized such as
the binning of the projection and the number of projections. The aim of this
abstract is to demonstrate the possibility to reach an acquisition/reconstruction
procedure in less than 20s for the entire body of the mouse fulfilling the
requirements of in-vivo imaging.
[1] Brasse D et al, Towards an Inline Reconstruction Architecture for micro-CT
Systems, Phys. Med. Biol. 50 (2005) 5799-5811.
Author
Mr
David Brasse
(Institut Pluridisciplinaire Hubert Curien, UMR 7178, Strasbourg, France)
Co-authors
Mr
Bernard Humbert
(Institut Pluridisciplinaire Hubert Curien, UMR 7178, Strasbourg, France)
Mr
Denis Staub
(Institut Pluridisciplinaire Hubert Curien, UMR 7178, Strasbourg, France)
Mr
Jean-Louis Guyonnet
(Institut Pluridisciplinaire Hubert Curien, UMR 7178, Strasbourg, France)