Imaging of bone using infrared radiation

  • Authors

    • R Swetha Arulmozhi
    • Mahima Vaidya
    • S Sahana
    • S Srinithi
    • T Rajalakshmi
    2018-03-19
    https://doi.org/10.14419/ijet.v7i2.8.10346
  • Bone Imaging, Near Infrared, Contrast Enhancement, Fibromyalgia, IR Filter

  • Abstract

    Imaging of bone helps to identify cortical abnormalities and associated deformities. This paper aims at providing a simple device that uses non ionizing radiations from a near infrared source which can detect changes in bone shape or any related fractures. The circuit is very simple and of relatively low cost. As per the data health in India, it is seen that 30% of the total population is prone to low bone density. This is an alarming situation that led to design of this paper. The device comprises of 17 NIR LED (850 nm) and c170 Logitech 5MP web camera, with its IR filter removed. The LED array is used as the source and the camera as the detector. The light beam from the source is focused on the desired region of the skin. The source and the camera are positioned mutually perpendicular to the region of the skin to be imaged for acquisition of a perfect image of bone. The image obtained is further processed by contrast enhancement and adaptive histogram equalization. The enhanced image is studied further for bone fractures, abnormalities, etc. An attempt is also made to focus on extending this technique as a screening tool for persons affected with Fibromyalgia.

  • References

    1. [1] https://en.wikipedia.org/wiki/Bone

      [2] https://en.wikipedia.org/wiki/Infrared

      [3] www.flir.com/corporate/display/?id=41523

      [4] https://en.wikipedia.org/wiki/Non-ionizing_radiation

      [5] https://broom02.revolvy.com/main/index.php?s=Near%20infrared&item...topic

      [6] https://sites.google.com/site/5kk70gpu/assignment-s/color-conversion

      [7] https://en.wikipedia.org/wiki/Adaptive_histogram_equalization

      [8] W. K. Pratt. 2001. Digital image processing. John Wiely& Sons, Inc. 3.

      [9] R. A. Hummel. 1977. Image enhancement by histogram transformation. Computer Graphics and Image Processing. 6(2). pp.184-195. https://doi.org/10.1016/S0146-664X(77)80011-7.

      [10] W. Frei. 1977. Image enhancement by histogram hyperbolization.CVGIP. 6. pp.286-294.

      [11] Wang Lingyu and Graham Leedham. 2006. Near- and Far-Infrared Imaging for Vein Pattern Biometrics. Proceedings of the IEEE International Conference on Video and Signal Based Surveillance. AVSS.

      [12] Yi-Chong Zeng. 2009. Automatic Local Contrast Enhancement using Adaptive Histogram adjustment. Proceedings of the IEEE Multimedia and Expo.

      [13] S. K. Mittra et al. 1991. A new class of nonlinear filters for image enhancement. Acoustics, Speech and Signal Processing.https://doi.org/10.1109/ICASSP.1991.150915.

      [14] Sunil Deshpande et al. 2011. A Control Engineering Approach for Designing an Optimized Treatment Plan for Fibromyalgia. American Control Conference.

      [15] AykutEken et al. 2015. Classification of fibromyalgia syndrome using NIR signals.Medical technologies national conference.

      [16] XiaobinDaia et al. A Fast Vein Display Device Based on the Camera-projector System. Sch. Of Optoelectronics. Sch. of Life Science. Beijing Institute of Technology.

      [17] Yi-chong Zeng. Automatic local contrast enhancement using adaptive histogram adjustment. Institute of information science.

      [18] Carolina Pieroni Andrade*, Antonio Roberto Zamunér, Meire Forti. Aparecida Maria Catai, Patrícia, Driusso, Ester da Silva. 2014. Association between Baroreflex Function and Pressure Pain. Threshold in Women with Fibromyalgia. 8th Conference of the European study group on cardiovascular oscillations.

      [19] A Control Engineering Approach for Designing an Optimized, Treatment Plan for Fibromyalgia Sunil Deshpande, Naresh N. Nandola, Daniel E. Rivera and Jarred Younger, 2011 American Control Conference on O'Farrell Street, San Francisco, CA, USA, June 29 - July 01, 2011.

      [20] Evren Arslan, SedatYıldız, EtemKöklükaya, YalçınAlbayrak. Classification ofFibromyalgia Syndrome by Using Fuzzy Logic Method.

      [21] Tamara L.Troy, Suresh N.Thennadil. 2001. Optical properties of human skin in the near infrared wavelength range of 1000 to 2200 nm, J biomedical optics,6(2):167-176.https://doi.org/10.1117/1.1344191.

      [22] Fatma vatansever, Michael R.Hamblin. 2012. Far infrared radiation: its biological effects and medical applications. Harvard Medical School.

      [23] Aton M.Holzer, MD, CraigA.Elmets, MD. 2010. The other end of the rainbow: infrared and skin, J Invest Dermatol. 130(6): 1496-1499.https://doi.org/10.1038/jid.2010.79.

      [24] Theodore. A. Henderson et al. 2015. Near-infrared photonic energy penetration. Neuropsychiatr Dis Treat. 11: 2191-2208.

      [25] W. E. Mayo et al. 2001. Infrared Microscopic Imaging of Bone: Spatial Distribution of CO32-. Journal of Bone and Mineral Research. 16(5): 893-900.https://doi.org/10.1359/jbmr.2001.16.5.893.

      [26] Dr.Seetaiah Kilaru, Hari Kishore K, Sravani T, Anvesh Chowdary L, Balaji T “Review and Analysis of Promising Technologies with Respect to fifth Generation Networksâ€, 2014 First International Conference on Networks & Soft Computing, ISSN:978-1-4799-3486-7/14, pp.270273, August 2014.

      [27] T. Padmapriya and V. Saminadan, “Improving Throughput for Downlink Multi user MIMO-LTE Advanced Networks using SINR approximation and Hierarchical CSI feedbackâ€, International Journal of Mobile Design Network and Innovation- Inderscience Publisher, ISSN : 1744-2850 vol. 6, no.1, pp. 14-23, May 2015.

      [28] S.V.ManikanthanandK.srividhya"An Android based secure access control using ARM and cloud computing", Published in: Electronics and Communication Systems (ICECS), 2015 2nd International Conference on26-27 Feb. 2015, Publisher: IEEE,https://doi.org/10.1109/ECS.2015.7124833.

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  • How to Cite

    Swetha Arulmozhi, R., Vaidya, M., Sahana, S., Srinithi, S., & Rajalakshmi, T. (2018). Imaging of bone using infrared radiation. International Journal of Engineering & Technology, 7(2.8), 139-144. https://doi.org/10.14419/ijet.v7i2.8.10346

    Received date: 2018-03-19

    Accepted date: 2018-03-19

    Published date: 2018-03-19