Near-infrared image-based vascular network extraction using enhanced matched filtering

IF 5 2区物理与天体物理 Q1 OPTICS

Optics and Laser Technology Pub Date : 2025-07-23 DOI:10.1016/j.optlastec.2025.113596

Yangdi Su , Bowen Hong , Sensen Liu , Yinghong Guo , Kai Ni , Ben Xu

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Abstract

Intravenous injection and venipuncture are vital in modern medicine, making the positioning of surface veins crucial. Utilizing the absorption characteristics of deoxyhemoglobin in the near-infrared spectrum, a vascular network recognition algorithm using near-infrared images and matched filtering is proposed. An 850 nm LED serves as the auxiliary lighting source, and the Contrast Limited Adaptive Histogram Equalization (CLAHE) method improves infrared image contrast. Based on the morphological characteristics of the infrared vein images, enhanced matched filtering successfully extracts vessels, increasing the signal-to-noise ratio and enabling accurate extraction of even small vessels. The algorithm’s reliability is validated with the Digital Retinal Images for Vessel Extraction (DRIVE) dataset, achieving a Dice coefficient of 73.92. Due to its low computational complexity, fast speed, and excellent performance, a handheld portable vein projector has been developed, featuring real-time infrared image acquisition, processing, and in-situ vein distribution projection, and successfully applied in medical practice.

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基于增强匹配滤波的近红外图像血管网络提取

静脉注射和静脉穿刺在现代医学中至关重要，因此表面静脉的定位至关重要。利用脱氧血红蛋白在近红外光谱中的吸收特性，提出了一种基于近红外图像和匹配滤波的血管网络识别算法。采用850 nm LED作为辅助光源，采用对比度限制自适应直方图均衡化（CLAHE）方法提高红外图像对比度。基于红外静脉图像的形态特征，增强匹配滤波成功提取血管，提高了信噪比，甚至可以准确提取小血管。用DRIVE （Digital Retinal Images for Vessel Extraction）数据集验证了该算法的可靠性，Dice系数达到73.92。由于其计算复杂度低、速度快、性能优异，开发了一种手持式便携式静脉投影仪，实现了红外图像的实时采集、处理和静脉的原位分布投影，并成功应用于医疗实践。

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来源期刊

Optics and Laser Technology 物理-光学

CiteScore

8.50

自引率

10.00%

发文量

1060

审稿时长

3.4 months

期刊介绍： Optics & Laser Technology aims to provide a vehicle for the publication of a broad range of high quality research and review papers in those fields of scientific and engineering research appertaining to the development and application of the technology of optics and lasers. Papers describing original work in these areas are submitted to rigorous refereeing prior to acceptance for publication. The scope of Optics & Laser Technology encompasses, but is not restricted to, the following areas: •development in all types of lasers •developments in optoelectronic devices and photonics •developments in new photonics and optical concepts •developments in conventional optics, optical instruments and components •techniques of optical metrology, including interferometry and optical fibre sensors •LIDAR and other non-contact optical measurement techniques, including optical methods in heat and fluid flow •applications of lasers to materials processing, optical NDT display (including holography) and optical communication •research and development in the field of laser safety including studies of hazards resulting from the applications of lasers (laser safety, hazards of laser fume) •developments in optical computing and optical information processing •developments in new optical materials •developments in new optical characterization methods and techniques •developments in quantum optics •developments in light assisted micro and nanofabrication methods and techniques •developments in nanophotonics and biophotonics •developments in imaging processing and systems