Abstract
Circulatory system abnormalities might be an indicator of diseases or tissue damage. Early detection of vascular abnormalities might have an important role during treatment and also raise the patient’s awareness. Current detection methods for vascular imaging are high-cost, invasive, and mostly radiation-based. In this study, a low-cost and portable microcomputer-based tool has been developed as a Near-Infrared (NIR) superficial vascular imaging device. The device uses NIR Light-Emitting Diode (LED) light at 850 nm along with other electronic and optical components. It operates as a non-contact and safe infrared (IR) imaging method in real-time. Image and video analysis are carried out using OpenCV (Open-Source Computer Vision), a library of programming functions mainly used in computer vision. Various tests were carried out to optimize the imaging system and set up a suitable external environment. To test the performance of the device, the images taken from three diabetic volunteers, who are expected to have abnormalities in the vascular structure due to the possibility of deformation caused by high glucose levels in the blood, were compared with the images taken from two non-diabetic volunteers. As a result, tortuosity was observed successfully in the superficial vascular structures, where the results need to be interpreted by the medical experts in the field to understand the underlying reasons. Although this study is an engineering study and does not have an intention to diagnose any diseases, the developed system here might assist healthcare personnel in early diagnosis and treatment follow-up for vascular structures and may enable further opportunities.
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Data Availability
The dataset analyzed in the current study is available from the corresponding author upon reasonable request.
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Acknowledgements
We would like to thank Assoc. Prof. Dr. Sevket Gumustekin for laboratory resources during 3D modeling of the device. We also would like to thank you to Izmir Institute of Technology for their support in this project by Scientific Research Projects Coordination Unit (BAP) 2020IYTE0112.
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All the imaging procedures involving human participants were conducted by the approval of Ethical Committee of Izmir Institute of Technology (No: 02.10.2020-E.21015). Informed consent was obtained from all individual participants in this study.
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Altay, A., Gumus, A. Real-time superficial vein imaging system for observing abnormalities on vascular structures. Multimed Tools Appl 83, 21045–21064 (2024). https://doi.org/10.1007/s11042-023-16251-7
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DOI: https://doi.org/10.1007/s11042-023-16251-7