Development of an accurate 3D blood vessel searching system using NIR light

Yoshifumi Mizuno; Tsutao Katayama; Eiji Nakamachi

doi:10.1117/12.841571

19 February 2010 Development of an accurate 3D blood vessel searching system using NIR light

Yoshifumi Mizuno, Tsutao Katayama, Eiji Nakamachi

Proceedings Volume 7555, Advanced Biomedical and Clinical Diagnostic Systems VIII; 755506 (2010) https://doi.org/10.1117/12.841571
Event: SPIE BiOS, 2010, San Francisco, California, United States

Abstract

Health monitoring system (HMS) and drug delivery system (DDS) require accurate puncture by needle for automatic blood sampling. In this study, we develop a miniature and high accurate automatic 3D blood vessel searching system. The size of detecting system is 40x25x10 mm. Our searching system use Near-Infrared (NIR) LEDs, CMOS camera modules and image processing units. We employ the stereo method for searching system to determine 3D blood vessel location. Blood vessel visualization system adopts hemoglobin's absorption characterization of NIR light. NIR LED is set behind the finger and it irradiates Near Infrared light for the finger. CMOS camera modules are set in front of the finger and it captures clear blood vessel images. Two dimensional location of the blood vessel is detected by luminance distribution of the image and its depth is calculated by the stereo method. 3D blood vessel location is automatically detected by our image processing system. To examine the accuracy of our detecting system, we carried out experiments using finger phantoms with blood vessel diameters, 0.5, 0.75, 1.0mm, at the depths, 0.5 ~ 2.0 mm, under the artificial tissue surface. Experimental results of depth obtained by our detecting system showed good agreements with given depths, and the availability of this system is confirmed.

Citation Download Citation

Yoshifumi Mizuno, Tsutao Katayama, and Eiji Nakamachi "Development of an accurate 3D blood vessel searching system using NIR light", Proc. SPIE 7555, Advanced Biomedical and Clinical Diagnostic Systems VIII, 755506 (19 February 2010); https://doi.org/10.1117/12.841571

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