Poster + Paper
27 November 2023 Optimal illumination selection for structured light 3D endoscopy based on hyperspectral projection
Xiaopeng Chen, Xingjun Gao, Qing Yang, Ji Qi
Author Affiliations +
Conference Poster
Abstract
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.
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Xiaopeng Chen, Xingjun Gao, Qing Yang, and Ji Qi "Optimal illumination selection for structured light 3D endoscopy based on hyperspectral projection", Proc. SPIE 12770, Optics in Health Care and Biomedical Optics XIII, 127701S (27 November 2023); https://doi.org/10.1117/12.2686446
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KEYWORDS
Endoscopy

Structured light

3D acquisition

3D projection

Tissues

Natural surfaces

3D image processing

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