Forearm and Hand Vein Detection System for an Infrared Image Database

Abstract

This paper presents a system that allows defining the vein patterns of a person's forearm and hand. In order to accomplish this, infrared (IR) images of the region of interest were registered. The main goal is to help in vein detection, to aid in procedures like intravenous catheter or venipuncture, in a non-invasive way. In the image acquisition protocol, the anterior and posterior compartments of the left and right forearms of each subject were considered to create an image database each one containing the anthropometric data of the subject. A GUI was developed to allow recording an image by gender, age, weight, high and blood group and to allow two filtering options; the standard histogram equalization or fuzzy equalization. Finally, the user is able to choose and apply one of the two classification methods: one using the Fuzzy C-means algorithm, and the other using a Bayesian probabilistic model.

Teletıp İçin Artırılmış Gerçeklik Destekli Ön-Teşhis Ortamı: Yüzeysel Damar Takip Sistemi

“…Classical CNN models only detect which class the input images belong to but cannot visualize the position of the object in the image. Object detection algorithms (R-CNN (Girshick et al, 2014), Faster R-CNN (Ren et al, 2016), YOLO (Redmon et al, 2016), SSD (Anzueto-Rios et al, 2016)) are used for both detecting the object or objects in the image and for marking their positions on the image. In object-based detection studies, it has been stated that YOLOv3 algorithm is better than any other object detection algorithm (Faster R-CNN (Ren et al, 2016)) in terms of providing faster accurate classification performance (Abdulghani & Menekşe Dalveren, 2022;Dikbayır & Bülbül, 2020).…”

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

“…While AccuVein is effective at imaging superficial vessels, it may not provide as clear of a view for deeper veins [28] The NIR imaging technique can be utilized to detect blood vessels, and an appropriate optical window for this purpose is typically selected within the range of 700 to 950 nm. NIR light has the advantage of being able to penetrate deeper into tissues compared to visible light, allowing for better visualization of blood vessels beneath the skin [31,32]. The trans-illuminations method involves shining a light through the skin to visualize veins.…”