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ISSN: 1023-5086

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ISSN: 1023-5086

Scientific and technical

Opticheskii Zhurnal

A full-text English translation of the journal is published by Optica Publishing Group under the title “Journal of Optical Technology”

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DOI: 10.17586/1023-5086-2022-89-06-43-52

УДК: 535.317

High-quality telecentric projection lens for vein visualization

For Russian citation (Opticheskii Zhurnal):

Ле Зуй Туан, Та Ван Зыонг, Ле Ань Ту, Дао Нгуен Туан, Кирилловский В.К. Высококачественный телецентрический проекционный объектив для визуализации вен // Оптический журнал. 2022. Т. 89. № 6. С. 43–52. http://doi.org/10.17586/1023-5086-2022-89-06-43-52

 

Tuan L.D., Duong T.V., Tu L.A., Thuan D.N., Kirillovskii V.K. High-quality telecentric projection lens for vein visualization [in Russian] // Opticheskii Zhurnal. 2022. V. 89. № 6. P. 43–52. http://doi.org/10.17586/1023-5086-2022-89-06-43-52 

For citation (Journal of Optical Technology):

L. D. Tuan, T. V. Duong, L. A. Tu, D. N. Thuan, and V. K. Kirillovskii, "High-quality telecentric projection lens for vein visualization," Journal of Optical Technology. 89(6), 339-345 (2022). https://doi.org/10.1364/JOT.89.000339

Abstract:

Subject of study. A design of high-quality telecentric projection lenses that can be integrated into a miniprojector for projecting vein images onto human skin surfaces was investigated. Method. A numerical method based on Zemax software was used to design the lens. The required corrections were performed computationally to obtain a lens with components of similar diameter, significantly simplifying the mechanical structure, thus enabling easy and economical mass production. Main results. The new telecentric projection lens comprises seven spherical lenses, with a focal length and f-number of 20 mm and 2.51, respectively. The obtained value of the modulation transfer function (MTF) is extremely high: approximately 0.8 at 47 lines/mm and higher than 0.5 at 100 lines/mm. Relative distortion of the lens is less than 0.5% for the entire field of view. Owing to a unique technological feature, the fabricated projection lens demonstrated the measured MTF that was practically equal to the value calculated in the design. Practical significance. Using this projection lens in the vein finder enables the projection of sharp and precise images of veins onto the skin surface. Therefore, this device can help medical personnel in performing accurate and safe venipuncture. Owing to its low cost, compactness, and high quality of image formation, this projection lens is suitable for commercial purposes and for different applications of image formation.

Keywords:

optical systems, lens system design, optical scheme

Acknowledgements:

The research was supported by the Ministry of science and technology of Vietnam within the project No. DTDL.CN-40/19.

OCIS codes: 080.1753, 080.3620, 220.3620

References:

1. C. Liu, S. Ruan, Y. Lai, and C. Yao, “Finger-vein as a biometric-based authentication,” IEEE Consum. Electron. Mag. 8(6), 29–34 (2019).
2. C. A. Mela, D. P. Lemmer, F. S. Bao, F. Papay, T. Hicks, and Y. Liu, “Real-time dual-modal vein imaging system,” Int. J. Comput. Assisted Radiol. Surg. 14(2), 203–213 (2019).
3. M. D. Francisco, W.-F. Chen, C.-T. Pan, M.-C. Lin, Z.-H. Wen, C.-F. Liao, and Y.-L. Shiue, “Competitive real-time near infrared (NIR) vein finder imaging device to improve peripheral subcutaneous vein selection in venipuncture for clinical laboratory testing,” Micromachines 12(4), 373 (2021).
4. E. C. Lee, H. C. Lee, and K. R. Park, “Finger vein recognition using minutia-based alignment and local binary pattern-based feature extraction,” Int. J. Imaging Syst. Technol. 19(3), 179–186 (2009).
5. N. Miura, A. Nagasaka, and T. Miyatake, “Feature extraction of fingervein patterns based on repeated line tracking and its application to personal identification,” Mach. Vis. Appl. 15(4), 194–203 (2004).
6. E. C. Lee, H. Jung, and D. Kim, “New finger biometric method using near infrared imaging,” Sensors 11(3), 2319–2333 (2011).
7. V. P. Zharov, S. Ferguson, J. F. Eidt, P. C. Howard, L. M. Fink, and M. Waner, “Infrared imaging of subcutaneous veins,” Lasers Surg. Med. 34(1), 56–61 (2004).

8. N. Bouzida, A. H. Bendada, and X. P. Maldague, “Near-infrared image formation and processing for the extraction of hand veins,” J. Mod. Opt. 57(18), 1731–1737 (2010).
9. F. Wang, A. Behrooz, and M. Morris, “High-contrast subcutaneous vein detection and localization using multispectral imaging,” J. Biomed. Opt. 18(5), 050504 (2013).
10. Y. Zhai, Z. Wang, Y. Liu, and Y. He, “Optical design of head-mounted projective display for vein imaging,” in IEEE Workshop on Electronics, Computer and Applications (2014), pp. 791–795.
11. C.-T. Pan, M. D. Francisco, C.-K. Yen, S.-Y. Wang, and Y.-L. Shiue, “Vein pattern locating technology for cannulation: a review of the low-cost vein finder prototypes utilizing near infrared (NIR) light to improve peripheral subcutaneous vein selection for phlebotomy,” Sensors 19(16), 3573 (2019).
12. “DLP system optics” Application report DLPA022 (Texas Instruments, 2010).
13. M. J. Kidger and C. G. Wynne, “The design of double Gauss systems using digital computers,” Appl. Opt. 6(3), 553–563 (1967).
14. T. Ma and Y. Shen, “Distortion detect of large field projection lithography lens,” Acta Phys. Sin. 34(1), 46–49 (2005).