Low cost blood vein detection system based on near-infrared LEDs and image-processing techniques

• Autorzy: Alwazzan Mohammed J.

Identyfikatory

DOI

10.2478/pjmpe-2020-00

• Języki publikacji: EN

Abstrakty

EN

Drawing blood and injecting drugs are common medical procedures, for which accurate identification of veins is needed to avoid causing unnecessary pain. In this paper, we propose a low-cost system for the detection of veins. The system emits near-infrared radiation from four light-emitting diodes (LEDs), with a charge-coupled device (CCD) camera located in the middle of the LEDs. The camera captures an image of the palm of the hand. A series of digital image-processing techniques, ranging from image enhancement and increased contrast to isolation using a threshold limit based on statistical properties, are applied to effectively isolate the veins from the rest of the image.

Słowa kluczowe

EN

NIR LEDs; CCD camera; palm vein; Wiener filter; CLAHE

• Wydawca: Polskie Towarzystwo Fizyki Medycznej ; De Gruyter
• Czasopismo: Polish Journal of Medical Physics and Engineering
• Rocznik: 2020
• Tom: Vol. 26, Iss. 2
• Strony: 61--67
• Opis fizyczny: Bibliogr. 32 poz., rys.

Twórcy

autor

Alwazzan Mohammed J.

• Department of Medical Instrumentation Techniques Engineering, AL-Hussain University College, Karbala, Iraq

Bibliografia

• [1] Yen K, Gorelick MH. New biomedical devices that use near-infrared technology to assist with phlebotomy and vascular access. Pediatr Emerg Care. 2013;29(3):383-385.
• [2] Francis M, Jose A, Glan Devadhas G, Avinashe KK. A novel technique for forearm blood vein detection and enhancement. Biomedical Research. 2017;28(7):2913-2919.
• [3] Scoppettuolo G, Pittiruti M, Pitoni S, et al. Ultrasound-guided “short” midline catheters for difficult venous access in the emergency department: a retrospective analysis. Int J Emerg Med. 2016;9(1):3.
• [4] Saito H, Togawa T. Detection of needle puncture to blood vessel using puncture force measurement. Med Biol Eng Comput. 2005;43(2):240-244.
• [5] Chandra F, Wahyudianto A, Yasin M. Design of vein finder with multi tuning wavelength using RGB LED. J Phys: Conf Ser. 2017;853(1):012019.
• [6] Pailler-Mattei C, Bec S, Zahouani H. In vivo measurements of the elastic mechanical properties of human skin by indentation tests. Med Eng Phys. 2008;30(5):599-606.
• [7] Vogelmann TC, Bornman JF, Josserand S. Photosynthetic light gradients and spectral regime within leaves of Medicago sativa. Phil Trans R Soc Lond B Biols Sci. 1989;323(1216):411-421.
• [8] Zhang EZ, Povazay B, Laufer J, et al. Multimodal photoacoustic and optical coherence tomography scanner using an all optical detection scheme for 3D morphological skin imaging. Biomed Opt Express. 2011;2(8):2202-2215.
• [9] Fu D, Ye T, Matthews TE, et al. High-resolution in vivo imaging of blood vessels without labeling. Opt Lett. 2007;32(18):2641-2643.
• [10] Fuksis R, Greitans M, Nikisins O, Pudzs M. Infrared imaging system for analysis of blood vessel structure. Elektronika ir Elektrotechnika. 2010;97(1):45-48.
• [11] Nazish S, Zafar A, Shahid R, et al. Relationship between glycated haemoglobin and carotid atherosclerotic disease among patients with acute ischaemic stroke. Sultan Qaboos University Medical Journal. 2018;18(3):e311-e317.
• [12] Swarbrick J. Encyclopedia of pharmaceutical technology. CRC Press; 2013.
• [13] Kienle A, Lilge L, Vitkin IA, et al. Why do veins appear blue? A new look at an old question. Appl Opt. 1996;35(7):1151-1160.
• [14] Bäumler W, Ulrich H, Hartl A, et al. Optimal parameters for the treatment of leg veins using Nd: YAG lasers at 1064 nm. Br J Dermat. 2006;155(2):364-371.
• [15] García AM, Horche PR. Light source optimizing in a biphotonic vein finder device: Experimental and theoretical analysis. Results Phys. 2018;11:975-983.
• [16] Cholewka A, Kajewska J, Kawecki M,. How to use thermal imaging in venous insufficiency? J Thermal Anal Calorimetry. 2017;130(3):1317-1326.
• [17] Helmich FP, Ivison RJ. FIRI—A far-infrared interferometer. Experimental Astronomy. 2009;23(1):245-276.
• [18] Ahmed KI, Habaebi MH, Islam R. A Real Time Vein Detection System. Indones J Electr Eng Comput Sci. 2018;10(1):129-137.
• [19] Lammertyn J, Peirs A, De Baerdemaeker J, Nicolaı B. Light penetration properties of NIR radiation in fruit with respect to nondestructive quality assessment. Postharvest Biol Technol. 2000;18(2):121-132.
• [20] Chandra F, Wahyudianto A, Yasin M. Design of vein finder with multi tuning wavelength using RGB LED. J Phys: Conf Series. 2017;853(1):012019.
• [21] Miura N, Nakazaki K, Fujio M, Takahashi K. Technology and future prospects for finger vein authentication using visible-light cameras. Hitachi Review. 2018;67(5):576-577.
• [22] Prijono A, Hangkawidjaja AD, Ahmar AS. Verification Image of The Veins on The Back Palm with Modified Local Line Binary Pattern (MLLBP) and Histogram. J Phys: Conf Series. 2018;954(1):012014.
• [23] Cui M, Hu J, Razdan A, Wonka P. Color-to-gray conversion using ISOMAP. The Visual Computer. 2010;26(11):1349-1360.
• [24] Wu QQ, Lee JP, Park MH, et al. A study on development of optimal noise filter algorithm for laser vision system in GMA welding. Procedia Engineering. 2014;97:819-827.
• [25] Alwazzan MJ, Ismael MA, Hussain MK. Brain Tumour Isolation in MRI Images Based on Statistical Properties and Morphological Process Techniques. J Phys: Conf Series 2019;1279(1):012018.
• [26] Kamola G, Spytkowski M, Paradowski M, Markowska-Kaczmar U. Image-based logical document structure recognition. Pattern Analysis and Applications. 2015;18(3):651-665.
• [27] Loomis WF. Skin-Pigment Regulation of Vitamin-D Biosynthesis in Man: Variation in solar ultraviolet at different latitudes may have caused racial differentiation in man. Science. 1967;157(3788):501-506.
• [28] Wang Y, Yang J, Yin W, Zhang Y. A new alternating minimization algorithm for total variation image reconstruction. SIAM J Imaging Sci. 2008;1(3):248-272.
• [29] Battese GE, Harter RM, Fuller WA. An error-components model for prediction of county crop areas using survey and satellite data. Journal of the American Statistical Association. 1988;83(401):28-36.
• [30] Witting MD, Schenkel SM, Lawner BJ, Euerle BD. Effects of vein width and depth on ultrasound-guided peripheral intravenous success rates. J Emerg Med. 2010;39(1):70-75.
• [31] Soujanya G. Depth and size limits for the visibility of veins using the VeinViewer imaging system. Master of Science Thesis, The University of Tennessee, Memphis, USA. 2007.
• [32] Al-Harosh MB, Shchukin SI. Peripheral vein detection using electrical impedance method. J Electrical Bioimpedance. 2019;8(1):79-83.

Uwagi

Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2021).