Background Near-infrared (NIR) imaging technology has been increasingly applied in clinical and biomedical engineering fields for subcutaneous vein detection and vascular guidance. However, most existing systems still face limitations such as inconsistent visualization under various skin tones and difficulties in achieving real-time projection alignment. Objective The objective of this study is to develop a near-infrared (NIR)-based vascular detection system and to evaluate its performance. Methods The developed system provides intuitive visualization by projecting vascular images in real time onto the same skin region. Performance validation was conducted using a vascular model and the abdominal vessels of rabbits. Results In the vascular model experiment, the localization accuracy was 98.9%, and in the rabbit experiment, the detection success rate for vessels with a diameter of ≥1 mm was 100%. Conclusions The proposed method was confirmed to reduce the time required for acquiring anatomical knowledge and to minimize complications by preventing incorrect venipuncture.
Park et al. (Mon,) studied this question.