Feasibility of 830 nm laser imaging for vein localization in dark skin tissue-mimicking phantoms

Bachir, Wesam; Dargham, Farah Abo

doi:10.1007/s13246-021-01096-x

Cited by 2 publications

(1 citation statement)

References 35 publications

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“…Indeed, many techniques have been developed that combine different methods for the visualizing subcutaneous blood vessels. [17][18][19][20][21][22][23][24][25][26]. In addition, these technologies can help healthcare professionals locate and access veins more accurately.…”

Section: Introductionmentioning

confidence: 99%

Visualization of Subcutaneous Blood Vessels Based on Hyperspectral Imaging and Three-Wavelength Index Images

Hamza,

Skidanov,

Podlipnov

2023

Sensors

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Blood vessel visualization technology allows nursing staff to transition from traditional palpation or touch to locate the subcutaneous blood vessels to visualized localization by providing a clear visual aid for performing various medical procedures accurately and efficiently involving blood vessels; this can further improve the first-attempt puncture success rate for nursing staff and reduce the pain of patients. We propose a novel technique for hyperspectral visualization of blood vessels in human skin. An experiment with six participants with different skin types, race, and nationality backgrounds is described. A mere separation of spectral layers for different skin types is shown to be insufficient. The use of three-wavelength indices in imaging has shown a significant improvement in the quality of results compared to using only two-wavelength indices. This improvement can be attributed to an increase in the contrast ratio, which can be as high as 25%. We propose and implement a technique for finding new index formulae based on an exhaustive search and a binary blood-vessel image obtained through an expert assessment. As a result of the search, a novel index formula was deduced, allowing high-contrast blood vessel images to be generated for any skin type.

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Section: Introductionmentioning

confidence: 99%

Visualization of Subcutaneous Blood Vessels Based on Hyperspectral Imaging and Three-Wavelength Index Images

Hamza,

Skidanov,

Podlipnov

2023

Sensors

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Forearm Intravenous Detection and Localization for Autonomous Vein Injection Using Contrast-Limited Adaptive Histogram Equalization Algorithm

Said,

Mohamed,

Shalash

et al. 2024

Applied Sciences

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Occasionally intravenous insertion forms a challenge to a number of patients. Inserting an IV needle is a difficult task that requires a lot of skill. At the moment, only doctors and medical personnel are allowed to do this because it requires finding the right vein, inserting the needle properly, and carefully injecting fluids or drawing out blood. Even for trained professionals, this can be done incorrectly, which can cause bleeding, infection, or damage to the vein. It is especially difficult to do this on children, elderly people, and people with certain skin conditions. In these cases, the veins are harder to see, so it is less likely to be done correctly the first time and may cause blood clots. In this research, a low-cost embedded system utilizing Near-Infrared (NIR) light technology is developed, and two novel approaches are proposed to detect and select the best candidate veins. The two approaches utilize multiple computer vision tools and are based on contrast-limited adaptive histogram equalization (CLAHE). The accuracy of the proposed algorithm is 91.3% with an average 1.4 s processing time on Raspberry Pi 4 Model B.

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Feasibility of 830 nm laser imaging for vein localization in dark skin tissue-mimicking phantoms

Cited by 2 publications

References 35 publications

Visualization of Subcutaneous Blood Vessels Based on Hyperspectral Imaging and Three-Wavelength Index Images

Visualization of Subcutaneous Blood Vessels Based on Hyperspectral Imaging and Three-Wavelength Index Images

Forearm Intravenous Detection and Localization for Autonomous Vein Injection Using Contrast-Limited Adaptive Histogram Equalization Algorithm

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