Paper
16 June 1997 Three-dimensional tomographic reconstruction of simulated and in-vivo subsurface chromophores
Derek J. Smithies, Thomas E. Milner, J. Stuart Nelson M.D., Martin J. C. van Gemert, Dennis M. Goodman
Author Affiliations +
Proceedings Volume 2975, Laser-Tissue Interaction VIII; (1997) https://doi.org/10.1117/12.275475
Event: BiOS '97, Part of Photonics West, 1997, San Jose, CA, United States
Abstract
IR tomography (IRT) is a non-contact technique to determine the size and position of sub-surface and position of sub- surface chromophores, using a recorded time sequence of IR emission images following pulsed laser irradiation. A potential application for IRT is the laser treatment of port wine stains (PWS), where the clinician needs diagnostic information to select optical irradiation parameters. In this paper, we report recent progress using IRT to determine diagnostic information regarding blood vessels comprising a PWS. In our simulations, a 3D skin model containing an epidermis and blood vessels is used, from which a time sequence of IR emission images is calculated. Size and position of sub-surface chromophores computed from the time sequence of IR emission images by application of an inversion algorithm are very close to actual values. For in vivo studies, the chick chorioallantoic membrane is an ideal PWS mode. Size and position of a sub-surface blood vessel are correctly predicted by application of an inversion algorithm, given a recorded time sequence of IR emission images.
© (1997) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Derek J. Smithies, Thomas E. Milner, J. Stuart Nelson M.D., Martin J. C. van Gemert, and Dennis M. Goodman "Three-dimensional tomographic reconstruction of simulated and in-vivo subsurface chromophores", Proc. SPIE 2975, Laser-Tissue Interaction VIII, (16 June 1997); https://doi.org/10.1117/12.275475
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KEYWORDS
Infrared imaging

Infrared radiation

Skin

Blood vessels

Chromophores

In vivo imaging

3D modeling

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