Mr. Zhisheng Wu Profile

Zhisheng Wu

at Zhejiang Univ

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Publications (2)

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Proceedings Article | 27 November 2023 Poster + Paper

A multiparameter tissue-mimicking phantom for multispectral endoscopic imaging

Xingjun Gao, Zhisheng Wu, Xiaopeng Chen, Liqiang Wang, Ji Qi, Qing Yang

Proceedings Volume 12770, 127702A (2023) https://doi.org/10.1117/12.2687051

KEYWORDS: Multispectral imaging, Endoscopy, Imaging systems, Image segmentation, Blood, Biological imaging, Titanium dioxide, Scattering, Polydimethylsiloxane, Tissues

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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.

Proceedings Article | 30 December 2022 Paper

Multispectral endoscopic imaging studies on the tissue components of gastrointestinal mucosa

Zhisheng Wu, Xingjun Gao, Bo Yuan, Qing Yang, Liqiang Wang

Proceedings Volume 12316, 1231605 (2022) https://doi.org/10.1117/12.2641999

KEYWORDS: Multispectral imaging, Image segmentation, Image enhancement, Endoscopy, Tissue optics, Light scattering

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In recent years, endoscopic imaging has become the major diagnostic approach for early cancer. It is difficult to accurately obtain the information of lesions and components content by using conventional white light imaging (C-WLI). Multispectral imaging techniques such as narrowband imaging are widely used in endoscopic clinical because of their specificity on the surface structure of digestive tract mucosa. However, there is still a lack of multispectral techniques for tissue components specificity. Tissue components such as lipid, hemoglobin are closely related to the generation and development of tumors, but it is difficult to observe the characteristics of lipid and hemoglobin by conventional white light imaging. Therefore, we studied the multispectral endoscopic imaging technique for the analysis of digestive tract mucosal components. Based on the reflectance spectrum characteristics of these tissue components, we determined their specific wavelength, and comprehensively considered the absorption, scattering, oxygenation and others in order to determine the most appropriate optical band in the wavelength range of 365-660nm. Through experimental verification, we choose different narrow-band wavelength combinations for lipids and hemoglobin oxygen saturation respectively to achieve multispectral imaging. In order to simulate the optical properties of digestive tract surface, we made tissue optical phantom. At the same time, we tested and optimized the imaging system and algorithm by the experiments in vitro, and obtained the optimal multispectral image of tissue components, then realize the quantitative detection combined with the content analysis algorithm. Our pilots show that the multispectral imaging system can improve the contrast of endoscopy image, enhance the detail information, achieve high precision detection of tissue components content, and control the error within 10%.

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