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Erschienen in: International Journal of Computer Assisted Radiology and Surgery 2/2019

05.10.2018 | Original Article

Real-time dual-modal vein imaging system

verfasst von: Christopher A. Mela, David P. Lemmer, Forrest Sheng Bao, Francis Papay, Tyler Hicks, Yang Liu

Erschienen in: International Journal of Computer Assisted Radiology and Surgery | Ausgabe 2/2019

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Abstract

Purpose

In this paper, we present a vein imaging system to combine reflectance mode visible spectrum images (VIS) with transmission mode near-infrared (NIR) images in real time. Clear vessel localization is achieved in this manner with combined NIR–VIS dual-modal imaging.

Methods

Transmission and reflectance mode optical instrumentation is used to combine VIS and NIR images. Two methods of displaying the combined images are demonstrated here. We have conducted experiments to determine the system’s resolution, alignment accuracy, and depth penetration. Vein counts were taken from the hands of test subjects using the system and compared with vein counts taken by visual analysis.

Results

Results indicate that the system can improve vein detection in the human hand while detecting veins of a diameter < 0.5 mm at any working distance and of a 0.25 mm diameter at an optimal working distance of about 30 cm. The system has also been demonstrated to clearly detect silicone vessels with artificial blood of diameter 2, 1, and 0.5 mm diameter under a tissue depth of 3 mm. In a study involving 25 human subjects, we have demonstrated that vein visibility was significantly increased using our system.

Conclusions

The results indicate that the device is a high-resolution solution to near-surface venous imaging. This technology can be applied for IV placement, morphological analysis for disease state detection, and biometric analysis.
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Literatur
4.
Zurück zum Zitat Fuksis R, Greitans M, Nikisins O, Pudzs M (2010) Infrared imaging system for analysis of blood vessel structure. Electron Electr Eng Kaunas Technol 97(1):45–48 Fuksis R, Greitans M, Nikisins O, Pudzs M (2010) Infrared imaging system for analysis of blood vessel structure. Electron Electr Eng Kaunas Technol 97(1):45–48
7.
Zurück zum Zitat Paquita V, Pricea JR, Meriaudeaub F, Tobina KW, Ferrellc TL (2006) Combining near-infrared illuminants to optimize venous imaging. In: Medical imaging 2007: visualization and image-guided procedures, San Diego, CA, USA. SPIE, p 65090H. https://doi.org/10.1117/12.712576 Paquita V, Pricea JR, Meriaudeaub F, Tobina KW, Ferrellc TL (2006) Combining near-infrared illuminants to optimize venous imaging. In: Medical imaging 2007: visualization and image-guided procedures, San Diego, CA, USA. SPIE, p 65090H. https://​doi.​org/​10.​1117/​12.​712576
14.
Zurück zum Zitat Francis M, Jose A, Devadhas G, Avinashe K (2017) A novel technique for forearm blood vein detection and enhancement. Biomed Res 28(7):2913–2919 Francis M, Jose A, Devadhas G, Avinashe K (2017) A novel technique for forearm blood vein detection and enhancement. Biomed Res 28(7):2913–2919
18.
19.
Zurück zum Zitat Newman A (1976) Photographic techniques in scientific research, vol 2. Academic Press, Cambridge Newman A (1976) Photographic techniques in scientific research, vol 2. Academic Press, Cambridge
24.
Zurück zum Zitat Hebden JC, Alkhaja A, Mahe L, Powell S, Everdell N (2015) Measurement of contrast of phantom and in vivo subsurface blood vessels using two near-infrared imaging systems. In: Optical diagnostics and sensing XV: toward point-of-care diagnostics, San Francisco, CA, USA. SPIE, p 933213. https://doi.org/10.1117/12.2084673 Hebden JC, Alkhaja A, Mahe L, Powell S, Everdell N (2015) Measurement of contrast of phantom and in vivo subsurface blood vessels using two near-infrared imaging systems. In: Optical diagnostics and sensing XV: toward point-of-care diagnostics, San Francisco, CA, USA. SPIE, p 933213. https://​doi.​org/​10.​1117/​12.​2084673
27.
Zurück zum Zitat Chen AI, Balter ML, Maguire TJ, Yarmush ML (2016) 3D near infrared and ultrasound imaging of peripheral blood vessels for real-time localization and needle guidance. In: Ourselin S, Joskowicz L, Sabuncu M, Unal G, Wells W (eds) Medical image computing and computer-assisted intervention, Athens, Greece. Lecture notes in computer science. Springer, pp 388–396. https://doi.org/10.1007/978-3-319-46726-9_45 Chen AI, Balter ML, Maguire TJ, Yarmush ML (2016) 3D near infrared and ultrasound imaging of peripheral blood vessels for real-time localization and needle guidance. In: Ourselin S, Joskowicz L, Sabuncu M, Unal G, Wells W (eds) Medical image computing and computer-assisted intervention, Athens, Greece. Lecture notes in computer science. Springer, pp 388–396. https://​doi.​org/​10.​1007/​978-3-319-46726-9_​45
28.
Zurück zum Zitat Ahmed T, Rahman KS, Shawlin SS, Hasan M, Bhattacharjee A, Fattah SA, Shahnaz C (2017) Real time injecting device with automated robust vein detection using near infrared camera and live video. In: Global humanitarian technology conference (GHTC), San Jose, CA, USA. IEEE. https://doi.org/10.1109/GHTC.2017.8239298 Ahmed T, Rahman KS, Shawlin SS, Hasan M, Bhattacharjee A, Fattah SA, Shahnaz C (2017) Real time injecting device with automated robust vein detection using near infrared camera and live video. In: Global humanitarian technology conference (GHTC), San Jose, CA, USA. IEEE. https://​doi.​org/​10.​1109/​GHTC.​2017.​8239298
Metadaten
Titel
Real-time dual-modal vein imaging system
verfasst von
Christopher A. Mela
David P. Lemmer
Forrest Sheng Bao
Francis Papay
Tyler Hicks
Yang Liu
Publikationsdatum
05.10.2018
Verlag
Springer International Publishing
Erschienen in
International Journal of Computer Assisted Radiology and Surgery / Ausgabe 2/2019
Print ISSN: 1861-6410
Elektronische ISSN: 1861-6429
DOI
https://doi.org/10.1007/s11548-018-1865-9

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