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Radiography and Thermography Based Image Processing Techniques for Assessment of Lower Back Pain

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Recent Trends in Image Processing and Pattern Recognition (RTIP2R 2023)

Abstract

Lower back pain (LBP) is a state of ailment where most of the victims suffer pain near the Lumbar spine 1 - Lumbar spine 5. The imaging techniques like X-Ray, CT scans and MRI aid the medical practitioners to visualize the illness better. The radiographic images especially X-ray are widely used for assessment of LBP patients . Repetitive radiography imaging cause harm during long term treatment of LBP. This study involves a image processing based two-way approach of processing X-Ray to quantify intervertebral disc space during initial stage of diagnosis and thermography based image analysis is adopted for long term treatment of LBP patients. The results shows thermography images are useful in localization of the site of pain. The X-ray/CT images useful to diagnose the internal condition of disc space and thermal images could reveal the exterior conditions around the site of the pain in follow up treatments of LBP patients. This proposed image processing based method is combination of two modalities which is useful in treatment procedure and avoids repetitive X-ray/CT imaging of LBP patients.

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References

  1. Wu, A., March, L., Zheng, X., Huang, J.: Global low back pain prevalence and years lived with disability from 1990 to 2017: estimates from the Global Burden of Disease Study 2017. PubMed Central 8(6), 299 (2020)

    Google Scholar 

  2. Grassi, W., Filippucci, E., Carotti, M., Salaffi, F.: Imaging modalities for identifying the origin of regional musculoskeletal pain. Best Pract. Res. Clin. Rheumatol. 17(1), 17–32 (2003)

    Google Scholar 

  3. Darlow, B., Forster, B.B., O’Sullivan, K., O’Sullivan, P.: It is time to stop causing harm with inappropriate imaging for low back pain. Br. J. Sports Med., 414–415 (2017)

    Google Scholar 

  4. Borenstein, D.G.: Chronic low back pain. Rheum. Dis. Clin. North Am. 22, 439–456 (1996)

    Google Scholar 

  5. Hoy, D., Bain, C.: A systematic review of the global prevalence of low back pain. Am. Coll. Rheumatol. 64(6), 2028–2037 (2012)

    Google Scholar 

  6. Luoma, K., Riihimäki, H.: Low back pain in relation to lumbar disc degeneration. Spine 25(4), 487–492 (2000)

    Google Scholar 

  7. Podichetty, V.K.: The aging spine: the role of inflammatory mediators in intervertebral disc degeneration. Cell. Mol. Biol. (Noisy-le-Grand) 53(5), 4–18 (2007)

    Google Scholar 

  8. Erkintalo, M.O., Salminen, J.J.: Development of degenerative changes in the lumbar intervertebral disk: results of a prospective MR imaging study in adolescents with and without low back pain. Pediatr. Radiol. 196(2), 529–533 (1995)

    Google Scholar 

  9. van Dijken, C.B., Fjellman-Wiklund, A.: Low back pain, lifestyle factors, and physical activity: a population-based study. J. Rehabil. Med. 40, 864–869 (2008)

    Google Scholar 

  10. Livshits, G.: Lumbar disc degeneration and genetic factors are the main risk factors for low back pain in women: the UK Twin Spine Study. BMJ J., 1740–1745 (2014)

    Google Scholar 

  11. Kjaer, P., Leboeuf-Yde, C.: Magnetic resonance imaging and low back pain in adults: a diagnostic imaging study of 40-year-old men and women. Spine 30(10), 1173–1180 (2005)

    Google Scholar 

  12. Stovitz, S.D., Pardee, P.E., Vazquez, G., Duval, S.: Musculoskeletal pain in obese children and adolescents. Foundation Acta Paediatrica 97, 489–493 (2008)

    Google Scholar 

  13. Shiri, R., Karppinen, J., Leino-Arjas, P., Solovieva, S., Viikari-Juntura, E.: The association between obesity and low back pain: a meta-analysis. Am. J. Epidemiol. 171(2), 135–154 (2008)

    Google Scholar 

  14. Feyer, A.-M., et al.: The role of physical and psychological factors in occupational low back pain: a prospective cohort study. Occup. Environ. Med., 116–120 (2000)

    Google Scholar 

  15. Collins, A.J., Cosh, J.: Temperature and biochemical studies of joint inflammation. Ann. Rheum. Dis. 29, 386 (1970)

    Article  Google Scholar 

  16. Collins, A.J., Ring, E.F.J., Cosh, J.A., Bacon, P.: A quantitation of thermography in arthritis using multi-isothermal analysis: 1. The thermographic index. Ann. Rheum. Dis. 33, 113–115 (1974)

    Google Scholar 

  17. Varju, G., Pieper, C.F., Renner, J.B., Kraus, V.B.: Assessment of hand osteoarthritis: correlation between thermographic and radiographic methods. Rheumatology 43, 915 (2004)

    Article  Google Scholar 

  18. Praveen, P., Mallikarjunaswamy, M.S., Chandrashekara, S.: Quantification of intervertebral space of lumbar spine in lower back pain-affected people. Int. J. Future Gener. Commun. Network. 13(4), 2409–2414 (2020)

    Google Scholar 

  19. Zhou, S.H., McCarthy, I.D., McGregor, A.H., Coombs, R.R.H., Hughes, S.P.F.: Geometrical dimensions of the lower lumbar vertebrae – analysis of data from digitized CT images. Eur. Spine J., 242–248 (2000)

    Google Scholar 

  20. Özdogan, S., Gergin, Y.E., Duzkalir, A.H., Demirel, N., Koken, M.: Measurement of lumbar intervertebral disc heights by computed tomography: a morphometric study. Turkish Spine J. 26(4), 289–292 (2015)

    Google Scholar 

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Praveen, P., Mallikarjunaswamy, M.S., Chandrashekara, S. (2024). Radiography and Thermography Based Image Processing Techniques for Assessment of Lower Back Pain. In: Santosh, K., et al. Recent Trends in Image Processing and Pattern Recognition. RTIP2R 2023. Communications in Computer and Information Science, vol 2027. Springer, Cham. https://doi.org/10.1007/978-3-031-53085-2_16

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  • DOI: https://doi.org/10.1007/978-3-031-53085-2_16

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-53084-5

  • Online ISBN: 978-3-031-53085-2

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