The THz electromagnetic properties of rough surface are explored and their effect on the observed contrast in THz images is quantified. Rough surface scatter is a major source of clutter in THz imaging as the rough features of skin and other tissues result in non-trivial reflection signal modulation. Traditional approaches to data collection utilize dielectric windows to flatten surfaces for THz imaging. However, there is substantial interest surrounding window free imaging as contact measurements are not ideal for a range of candidate diseases and injuries.
In this work we investigate the variation in reflected signal in the specular direction from rough surfaces targets with known roughness parameters. Signal to clutter ratios are computed and compared with that predicted by Rayleigh Rough surface scattering theory. It is shown that Rayleigh rough surface scattering theory, developed for rough features larger than the interacting wavelength, holds acceptable at THz frequencies with rough features much smaller than the wavelength. Additionally, we present some biological tissue imaging examples to illustrate the impact of rough surface scattering in image quality.
Shijun Sung, Neha Bajwa, Jacob Goell, and Zachary Taylor, "Surface roughness limited contrast to clutter ratios THz medical imaging
(Conference Presentation)," Proc. SPIE 9706, Optical Interactions with Tissue and Cells XXVII, 970608 (Presented at SPIE BiOS: February 15, 2016; Published: 3 May 2016); https://doi.org/10.1117/12.2218571.4868452867001.
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