Presentation + Paper
1 March 2019 New image reconstruction algorithm for fluorescence optical tomography based on the adjoint radiative transfer equation
Author Affiliations +
Abstract
A new reconstruction algorithm for fluorescence optical tomography of biological tissues is proposed. The radiative transport equation in the frequency domain is used to model light propagation. The adjoint method studied in this work provides an efficient way for solving the inverse problem. The methodology is applied to a 2D tissue-like phantom subjected to a collimated laser beam. Indocyanine Green is used as fluorophore. Reconstructed images of the spatial fluorophore absorption distribution is assessed taking into account the residual fluorescence in the medium. We show that illuminating the tissue surface from a collimated centered direction near the inclusion gaves a better reconstruction quality. Two closely positioned inclusions can be accurately localized and quantified. However, the algorithm fails to reconstruct smaller or deeper inclusions due to light attenuation in the medium. Reconstructions with noisy data are also achieved with a reasonable accuracy.
Conference Presentation
© (2019) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Fatmir Asllanaj and Ahmad Addoum "New image reconstruction algorithm for fluorescence optical tomography based on the adjoint radiative transfer equation", Proc. SPIE 10874, Optical Tomography and Spectroscopy of Tissue XIII, 108740V (1 March 2019); https://doi.org/10.1117/12.2507420
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KEYWORDS
Reconstruction algorithms

Luminescence

Tissues

Absorption

Collimation

Image restoration

Natural surfaces

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