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Application of Frequency Modulated Thermal Wave Imaging for Bone Diagnostics

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Part of the Lecture Notes in Mechanical Engineering book series (LNME)

Abstract

In recent years, non-invasive imaging methodologies have been demonstrated as reliable, quantitative and remote inspection methods for the characterization of biological samples. The present work incorporates frequency modulated thermal wave imaging (FMTWI) followed by matched filtering-based post-processing analysis for bone diagnostics, especially bone with tissue, skin and muscle over layers. In order to find the characterization capabilities of the proposed method to detect the bone density variations, a multilayer skin-fat-muscle-bone structure is considered. The results obtained from the proposed scheme clearly show improved evaluation capabilities in terms of the test resolution and sensitivity.

Keywords

  • Frequency modulated thermal wave imaging
  • Nondestructive testing
  • Osteoporosis
  • Finite element analysis

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References

  1. Yang TL, Shen H, Liu A, Dong SS, Zhang L, Deng FY, Zhao Q, Deng HW (2019) A road map for understanding molecular and genetic determinants of osteoporosis. Nat Rev Endocrinol 16(2):1–13. https://doi.org/10.1038/s41574-019-0282-7

    CrossRef  Google Scholar 

  2. Lorentzon M (2019) Treating osteoporosis to prevent fractures: current concepts and future developments. J Intern Med 285(4):381–394. https://doi.org/10.1111/joim.12873

    CrossRef  Google Scholar 

  3. Adams AL, Fischer H, Kopperdahl DL, Lee DC, Black DM, Bouxsein ML, Fatemi S, Khosla S, Orwoll ES, Siris ES, Keaveny TM (2018) Osteoporosis and hip fracture risk from routine computed tomography scans: the fracture, osteoporosis, and CT utilization study (FOCUS). J Bone Miner Res 33(7):1291–1301. https://doi.org/10.1002/jbmr.3423

    CrossRef  Google Scholar 

  4. Clynes MA, Harvey NC, Curtis EM, Fuggle NR, Dennison EM, Cooper C (2020) The epidemiology of osteoporosis. Br Med Bull 133(1):105–117. https://doi.org/10.1093/bmb/ldaa005

    CrossRef  Google Scholar 

  5. Anouti FAL, Taha Z, Shamim S, Khalaf K, Kaabi AL, Alsafar H (2019) An insight into the paradigms of osteoporosis: from genetics to biomechanics. Bone Reports 11:100216. https://doi.org/10.1016/j.bonr.2019.100216

  6. Pinheiro MB, Oliveira J, Bauman A, Fairhall N, Kwok W, Sherrington C (2020) Evidence on physical activity and osteoporosis prevention for people aged 65+ years: a systematic review to inform the WHO guidelines on physical activity and sedentary behaviour. Int J Behav Nutr Phys Act 17(1):1–53. https://doi.org/10.1186/s12966-020-01040-4

    CrossRef  Google Scholar 

  7. Harvey N, Dennison E, Cooper C (2010) Osteoporosis: impact on health and economics. Nat Rev Rheumatol 6(2):99–105. https://doi.org/10.1038/nrrheum.2009.260

    CrossRef  Google Scholar 

  8. Wahl DA, Cooper C, Ebeling PR, Eggersdorfer M, Hilger J, Hoffmann K, Josse R, Kanis JA, Mithal A, Pierroz DD, Stenmark J, Stӧcklin E, Dawson-Hughes B (2012) A global representation of vitamin D status in healthy populations. Arch Osteoporos 7(1):155–172. https://doi.org/10.1007/s11657-012-0093-0

    CrossRef  Google Scholar 

  9. Sharma A, Mulaveesala R, Arora V (2020) Novel analytical approach for estimation of thermal diffusivity and effusivity for detection of osteoporosis. IEEE Sens J. https://doi.org/10.1109/JSEN.2020.2973233

    CrossRef  Google Scholar 

  10. Sharma A, Mulaveesala R, Dua G, Kumar N (2020) Linear frequency modulated thermal wave imaging for estimation of osteoporosis: an analytical approach. Electron Lett. https://doi.org/10.1049/el.2020.0671

    CrossRef  Google Scholar 

  11. Arora V, Siddiqui JA, Mulaveesala R, Muniyappa A (2014) Pulse compression approach to nonstationary infrared thermal wave imaging for nondestructive testing of carbon fiber reinforced polymers. IEEE Sens J 15(2):663–664. https://doi.org/10.1109/JSEN.2014.2361391

    CrossRef  Google Scholar 

  12. Mulaveesala R, Dua G, Arora V, Siddiqui JA, Muniyappa A (2017) Pulse compression favourable aperiodic infrared imaging approach for non-destructive testing and evaluation of bio-materials. Thermosense: thermal infrared applications XXXIX. Int Soc Optics Photon 10214:102140G. https://doi.org/10.1117/12.2263924

  13. Mulaveesala R, Dua G (2016) Non-invasive and non-ionizing depth resolved infra-red imaging for detection and evaluation of breast cancer: a numerical study. Biomed Phys Eng Express 2(5):055004. https://doi.org/10.1088/2057-1976/2/5/055004

  14. Werner J, Buse M (1988) Temperature profiles with respect to inhomogeneity and geometry of the human body. J Appl Physiol 65(3):1110–1118. https://doi.org/10.1152/jappl.1988.65.3.1110

  15. Williams LR, Leggett RW (1989) Reference values for resting blood flow to organs of man. Clin Phys Physiol Meas 10(3):187–217. https://doi.org/10.1088/0143-0815/10/3/001

    CrossRef  Google Scholar 

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Correspondence to Anshul Sharma .

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Sharma, A., Rani, A., Mulaveesala, R. (2022). Application of Frequency Modulated Thermal Wave Imaging for Bone Diagnostics. In: Mandayam, S., Sagar, S.P. (eds) Advances in Non Destructive Evaluation. Lecture Notes in Mechanical Engineering. Springer, Singapore. https://doi.org/10.1007/978-981-16-9093-8_28

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  • DOI: https://doi.org/10.1007/978-981-16-9093-8_28

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-16-9092-1

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