Paper
29 June 2001 Near-infrared optical tomography of scattering cylindrical phantoms using time-resolved detection
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Abstract
A near-infrared optical tomograph has been developed to obtain 3-dimensional images of scattering phantoms with optical properties similar to those of biological tissues. This experimental setup uses a femtosecond laser and a synchroscan streak camera. Thanks to three stepping motors, the phantom to be imaged is scanned in a parallel-beam mode. The time resolved detection of scattered photons is performed in the transmission mode, for different phantom positions obtained by two translations and one rotation stages. Regarding the data processing, we have developed a nonlinear image reconstruction algorithm based on the Newton-Raphson iterative method. It executes absorption and scattering mapping on the basis of characteristic data extracted from the recorded temporal point spread function of light transmitted through the studied object, such as the mean flight time of photon, the related variance or the integral intensity. First, 2D images using absolute or differential imaging schemes have been obtained for different scattering cylindrical phantoms possessing one or two more absorbing and/or more scattering inclusions. Reconstructed images have been compared to simulated and expected values. The results demonstrate that this system is a reliable and valuable platform for research on time-resolved optical tomography.
© (2001) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Chantal-Virginie Zint, Feng Gao, Murielle Torregrossa, and Patrick Poulet "Near-infrared optical tomography of scattering cylindrical phantoms using time-resolved detection", Proc. SPIE 4250, Optical Tomography and Spectroscopy of Tissue IV, (29 June 2001); https://doi.org/10.1117/12.434476
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Cited by 4 scholarly publications.
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KEYWORDS
Scattering

Photons

Absorption

Optical tomography

Tissues

Light scattering

Reconstruction algorithms

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