Speaker
Dr
Lionel Hervé
(LETI - CEA Recherche Technologique)
Description
Fluorescence tomography modality is envisioned to be an economical functional
quantitative measure and could benefit to the pharmacological industry for
experiments on small animal. It consists in injecting cancer specific fluorescence
marker and reconstructing the fluorescence by using the fluorescence tomography
technique. The reconstructed fluorescence can be used as a marker of the cancer
activity to evaluate the efficiency of treatments.
Currently, the technique is limited by the large heterogeneities of biological
tissues which create artefacts on the reconstruction and reduce the quality of the
subsequent analysis. Here, we describe how we take these heterogeneities into
account and show the efficiency of our method through a phantom experimental
validation.
Fluorescence tomography experiments consist in illuminating a highly scattering
medium with near infrared light (excitation wavelength) and measuring the
transmitted light at the excitation and the fluorescence wavelengths thanks to the
use of filters placed in front of the camera. Our light source is a continuous laser
(690nm, 26 mW, Powertechnology) beam coupled into a multimode optical fibre and
focused by a lens to a single spot underside the studied medium. The fibre and the
lens are driven by two motorized translation stages that allow XY scanning of the
specimen. At each step of the laser spot, light is collected from the specimen and
imaged onto the cooled CCD camera using a 25 mm f/l objective. For this experiment,
we position a cylindrical tank (interior dimensions: diameter=6 mm, height=6.5mm)
filled with 1micromol/L of Alexa750 fluorophore positioned at 1.5mm from the bottom
of a cylindrical-shaped box (diameter=110 mm) filled up with a scattering liquid
(mixture of water, black India ink as the absorber and intralipid (Fresenius Kabi)
as the scattering medium).
Measures at the excitation wavelength allow the determination of a map of the
optical properties of the medium. As opposed to the methods classically employed, we
show in this paper, that the use of Green functions G adapted to the inhomogeneous
medium allows better reconstruction of the fluorescence map.
The calculation of the transfer functions G for an inhomogeneous medium follows the
mathematical derivations classically used in the literature. G are deduced from the
difference between the measurements and the measure we would have for a homogeneous
medium with known optical parameters (homogeneous absorption and reduced scattering
coefficients). It can be obtained by repeating the experiment described before
without the fluorescent cylindrical reservoir or by using, as we did, an analytical
forward model.
The grid for the attenuation and fluorescence reconstruction is a 14x14x15 mesh. We
first reconstruct the attenuation map of the medium along with the G functions
corrected from the medium attenuation variations. It shows the presence of a
cylindrical region of low attenuation at 2.5mm<z<9.5mm, explained by the fact that
no ink was added in the fluorescent solution.
We then reconstruct the fluorescence map (20 iterations of ART (algebraic
reconstruction technique), relaxation=0.01). It shows that the reconstruction with
corrected G functions is closer to the expected values than non corrected
reconstruction especially when the z resolution is considered. Vertical profiles of
the two distributions in the axis of the fluorophore tank shows the z-localization
and z-resolution are better when the reconstruction is performed with corrected
transfer functions.
To obtain more accurate fluorescence tomography reconstruction, we recommend the use
of G functions corrected from variations of the optical properties of the studied
object.
Author
Dr
Lionel Hervé
(LETI - CEA Recherche Technologique)
Co-authors
Dr
Anabela Da Silva
(LETI - CEA Recherche Technologique)
Dr
Anne Koenig
(LETI - CEA Recherche Technologique)
Dr
Isabelle Texier
(LETI - CEA Recherche Technologique)
Dr
Jean-Marc Dinten
(LETI - CEA Recherche Technologique)
Dr
Jérôme Boutet
(LETI - CEA Recherche Technologique)
Mr
Michel Berger
(LETI - CEA Recherche Technologique)
Dr
Philippe Peltié
(LETI - CEA Recherche Technologique)
Dr
Philippe Rizo
(LETI - CEA Recherche Technologique)