Vein visualization enhancement by dual-wavelength phase-locked denoising technology

Author:

Ruan Lihua12,Yin Zhiqin1342,Zhou Shibing12,Zheng Weibo12,Lu Wei13425,Zhang Tao1256,Wang Shaowei1342ORCID

Affiliation:

1. Shanghai Institute of Technical Physics, Chinese Academy of Sciences Shanghai 200083, P. R. China

2. University of Chinese Academy of Sciences, Beijing 100049, P. R. China

3. State Key Laboratory of Infrared Physics, Shanghai Institute of Technical Physics, Chinese Academy of Sciences, Shanghai 200083, P. R. China

4. Shanghai Engineering Research Center of Energy-Saving Coatings Shanghai 200083, P. R. China

5. Shanghai Tech University, Shanghai 201210, P. R. China

6. School of Information Science and Technology, ShanghaiTech University, Shanghai 201210, China

Abstract

Visual near-infrared imaging equipment has broad applications in various fields such as venipuncture, facial injections, and safety verification due to its noncontact, compact, and portable design. Currently, most studies utilize near-infrared single-wavelength for image acquisition of veins. However, many substances in the skin, including water, protein, and melanin can create significant background noise, which hinders accurate detection. In this paper, we developed a dual-wavelength imaging system with phase-locked denoising technology to acquire vein image. The signals in the effective region are compared by using the absorption valley and peak of hemoglobin at 700[Formula: see text]nm and 940[Formula: see text]nm, respectively. The phase-locked denoising algorithm is applied to decrease the noise and interference of complex surroundings from the images. The imaging results of the vein are successfully extracted in complex noise environment. It is demonstrated that the denoising effect on hand veins imaging can be improved with 57.3% by using our dual-wavelength phase-locked denoising technology. Consequently, this work proposes a novel approach for venous imaging with dual-wavelengths and phase-locked denoising algorithm to extract venous imaging results in complex noisy environment better.

Funder

National Key R&D Program of China

National Natural Science Foundation of China

Strategic Priority Research Program (B) of the Chinese Academy of Sciences

Chinese Academy of Sciences President's International Fellowship Initiative

Publisher

World Scientific Pub Co Pte Ltd

Subject

Biomedical Engineering,Atomic and Molecular Physics, and Optics,Medicine (miscellaneous),Electronic, Optical and Magnetic Materials

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3