Structured light 3D surface imaging reconstructs the 3D surface shape of an object by analyzing the deformation of a projected structured-light pattern. The detection of the pattern is a crucial step in this technique, which can be affected by the blurring of the patterns due to tissue scattering and absorbing. In this study we experimentally investigate how the projected structured light based on hyperspectral projection. A hyperspectral projector is constructed to generate patterns of different wavelengths, bandwidth and densities. The projected structured light is tested on porcine tissue in vitro. The sharpness of all the patterns and property of tissue are evaluated. The results indicate that tissue-dependent wavelength of light with appropriate density of pattern yield optimal illumination which corresponds to 3D reconstruction accuracy for structured light 3D endoscopy.
Multispectral endoscopic imaging is a promising technique for lesion detection, and surgical guidance. Based on different spectral properties of tissues, multispectral imaging can provide enhanced contrast of vascular structures (narrow band imaging) or enable the quantitative analysis of hemoglobin and lipid. The multiparameter phantoms serve as efficient tools for system calibration, performance evaluation, and algorithm development in multispectral endoscopy are needed. In this paper, we developed a multiparameter tissue-mimicking phantom that mimics the parameters of human gastric mucosa, such as scattering coefficient, scattering layer thickness, vascular width, lipid on the surface and blood oxygen saturation (SO2). We verified the SO2 measurement accuracy by comparing with commercial i-STAT devices for SO2 distribution imaging. At the same time, the segmentation of lipid regions was also tested. Our results demonstrate that this multiparameter phantom is a versatile tool that can facilitate validation and evaluation of multispectral endoscopic systems.
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