Image acquisition stability of fixated musculoskeletal sonography in an exercise setting: a quantitative analysis and comparison with freehand acquisition

Abstract

Purpose

In dynamic musculoskeletal sonography, probe fixation can contribute to field of view (FOV) consistency, which is necessary for valid analysis of architectural parameters. In this volunteer study, the achieved FOV consistency in fixated ultrasonography was quantified and compared with freehand acquisition.

Methods

During five resting periods during cycling exercise, longitudinal B-mode images of the vastus lateralis (VL) muscle were acquired on one thigh with a fixated probe, and by two trained observers on the other thigh. In each acquisition, the structural similarity compared to the first resting period was determined using the complex wavelet structural similarity index (CW-SSIM). Also, the pennation angle of the VL was measured. Both CW-SSIM and pennation angle were compared between fixated and freehand acquisition. Furthermore, the compression of tissue by the probe fixation was measured.

Results

In fixated acquisition, a significantly higher structural similarity (p < 0.05) and an improved repeatability of pennation angle measurement were obtained compared to freehand acquisition. Probe fixation compressed muscle tissue by 12% on average.

Conclusions

Quantification of the structural similarity showed an increase in FOV consistency with sonography compared to freehand acquisition. The demonstrated feasibility of long-term fixated acquisition might be attractive in many medical fields and sports, and for reduction of work-related ergonomic problems among sonographers.

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References

  1. 1.

    Shung KK. Diagnostic ultrasound: imaging and blood flow measurements. 2nd ed. Boca Raton: CRC Press; 2015. p. 2–4.

    Google Scholar 

  2. 2.

    Zamorani MP, Valle M. Muscle and Tendon. Ultrasound musculoskeletal system. Springer, Berlin 2007. p. 45–96. https://doi.org/10.1007/978-3-540-28163-4_3.

    Google Scholar 

  3. 3.

    Pillen S, van Alfen N. Skeletal muscle ultrasound. Neurol Res. 2011;33:1016–24.

    Article  Google Scholar 

  4. 4.

    Peetrons P. Ultrasound of muscles. Eur Radiol. 2002;12:35–43.

    CAS  Article  Google Scholar 

  5. 5.

    Sikdar S, Wei Q, Cortes N. Dynamic ultrasound imaging applications to quantify musculoskeletal function. Exerc Sport Sci Rev. 2014;42:126–35.

    Article  Google Scholar 

  6. 6.

    Cronin NJ, Lichtwark G. The use of ultrasound to study muscle-tendon function in human posture and locomotion. Gait Posture. 2013;37:305–12.

    Article  Google Scholar 

  7. 7.

    Drakonaki EE, Allen GM, Wilson DJ. Ultrasound elastography for musculoskeletal applications. Br J Radiol. 2012;85:1435–45.

    CAS  Article  Google Scholar 

  8. 8.

    Konofagou EE, D’Hooge J, Ophir J. Myocardial elastography: a feasibility study in vivo. Ultrasound Med Biol. 2002;28:475–82.

    Article  Google Scholar 

  9. 9.

    Newman JS, Adler R, Rubin JM. Power doppler sonography: use in measuring alterations in muscle blood volume after exercise. J Diagn Med Sonogr. 1997;13:266.

    Google Scholar 

  10. 10.

    Krix M, Weber M-A, Krakowski-Roosen H, et al. Assessment of skeletal muscle perfusion using contrast-enhanced ultrasonography. J Ultrasound Med. 2005;24:431–41.

    Article  Google Scholar 

  11. 11.

    Klimstra M, Dowling J, Durkin JL, et al. The effect of ultrasound probe orientation on muscle architecture measurement. J Electromyogr Kinesiol. 2007;17:504–14.

    Article  Google Scholar 

  12. 12.

    Shih Y-F. Active patellar tracking measurement: a novel device using ultrasound. Am J Sports Med. 2004;32:1209–17.

    Article  Google Scholar 

  13. 13.

    Peltonen J, Cronin NJ, Stenroth L, et al. Viscoelastic properties of the Achilles tendon in vivo. Springerplus. 2013;2:212.

    Article  Google Scholar 

  14. 14.

    Eranki A, Cortes N, Ferenček ZG, Sikdar S. A novel application of musculoskeletal ultrasound imaging. J Vis Exp. 2013. https://doi.org/10.3791/50595.

    Article  PubMed  PubMed Central  Google Scholar 

  15. 15.

    Hodges PW, Pengel LHM, Herbert RD, et al. Measurement of muscle contraction with ultrasound imaging. Muscle Nerve. 2003;27:682–92.

    CAS  Article  Google Scholar 

  16. 16.

    Aggeloussis N, Giannakou E, Albracht K, et al. Reproducibility of fascicle length and pennation angle of gastrocnemius medialis in human gait in vivo. Gait Posture. 2010;31:73–7.

    Article  Google Scholar 

  17. 17.

    Giannakou E, Aggeloussis N, Arampatzis A. Reproducibility of gastrocnemius medialis muscle architecture during treadmill running. J Electromyogr Kinesiol. 2011;21:1081–6.

    Article  Google Scholar 

  18. 18.

    Mairet S, Maïsetti O, Portero P. Homogeneity and reproducibility of in vivo fascicle length and pennation determined by ultrasonography in human vastus lateralis muscle. Sci Sport. 2006;21:268–72.

    Article  Google Scholar 

  19. 19.

    Fukunaga T, Ichinose Y, Ito M, et al. Determination of fascicle length and pennation in a contracting human muscle in vivo. J Appl Physiol. 1997;82:354–8.

    CAS  Article  Google Scholar 

  20. 20.

    Wang Z, Bovik AC, Sheikh HR, et al. Image quality assessment: from error visibility to structural similarity. IEEE Trans Image Process. 2004;13:600–12.

    Article  Google Scholar 

  21. 21.

    Zhou W, Simoncelli EP. Translation insensitive image similarity in complex wavelet domain. In: Proceedings (ICASSP’05) of IEEE international conferences on acoust speech, Signal Process 2005. IEEE; 2005; p. 573–6.

  22. 22.

    Renieblas GP, Nogués AT, González AM, et al. Structural similarity index family for image quality assessment in radiological images. J Med Imaging. 2017;4:035501.

    Article  Google Scholar 

  23. 23.

    Kowalik-Urbaniak I, Brunet D, Wang J, Koff D, et al. The quest for “diagnostically lossless” medical image compression: a comparative study of objective quality metrics for compressed medical images. SPIE Med Imaging. 2014;9037:903716–7.

    Google Scholar 

  24. 24.

    Sampat MP, Zhou W, Gupta S, et al. Complex wavelet structural similarity: a new image similarity index. IEEE Trans Image Process. 2009;18:2385–401.

    Article  Google Scholar 

  25. 25.

    Portilla J, Simoncelli EP. A parametric texture model based on joint statistics of complex wavelet coefficients. Int J Comput Vis. 2000;40:49–70.

    Article  Google Scholar 

  26. 26.

    Jacobson JA. Musculoskeletal ultrasound: focused impact on MRI. Am J Roentgenol. 2009;193:619–27.

    Article  Google Scholar 

  27. 27.

    Bénard MR, Becher JG, Harlaar J, et al. Anatomical information is needed in ultrasound imaging of muscle to avoid potentially substantial errors in measurement of muscle geometry. Muscle Nerve. 2009;39:652–65.

    Article  Google Scholar 

  28. 28.

    Ema R, Akagi R, Wakahara T, et al. Training-induced changes in architecture of human skeletal muscles: current evidence and unresolved issues. J Phys Fit Sport Med. 2016;5:37–46.

    Article  Google Scholar 

  29. 29.

    Muraki S, Fukumoto K, Fukuda O. Prediction of the muscle strength by the muscle thickness and hardness using ultrasound muscle hardness meter. Springerplus. 2013;2:457.

    Article  Google Scholar 

  30. 30.

    Linder-Ganz E, Shabshin N, Itzchak Y, et al. Assessment of mechanical conditions in sub-dermal tissues during sitting: a combined experimental-MRI and finite element approach. J Biomech. 2007;40:1443–54.

    Article  Google Scholar 

  31. 31.

    Evans K, Roll S, Baker J. Work-related musculoskeletal disorders (WRMSD) among registered diagnostic medical sonographers and vascular technologists: a representative sample. J Diagn Med Sonogr. 2009;25:287–99.

    Article  Google Scholar 

  32. 32.

    Gremark Simonsen J, Axmon A, Nordander C, Arvidsson I. Neck and upper extremity pain in sonographers—associations with occupational factors. Appl Ergon. 2017;58:245–53.

    Article  Google Scholar 

  33. 33.

    Coffin C. Work-related musculoskeletal disorders in sonographers: a review of causes and types of injury and best practices for reducing injury risk. Reports Med Imaging. 2014;7:15.

    Article  Google Scholar 

  34. 34.

    Hecht HS, DeBord L, Sotomayor N, et al. Supine bicycle stress echocardiography: peak exercise imaging is superior to postexercise imaging. J Am Soc Echocardiogr. 1993;6:265–71.

    CAS  Article  Google Scholar 

  35. 35.

    Nakashiki K, Kisanuki A, Otsuji Y, et al. Usefulness of a novel ultrasound transducer for continuous monitoring treadmill exercise echocardiography to assess coronary artery disease. Circ J. 2006;70:1297–302.

    Article  Google Scholar 

  36. 36.

    Chandraratna PAN, Gajanayaka R, Makkena SM, Wijegunaratne K, Hafeez H, Vijayasekaran S, et al. “Hands-Free” continuous echocardiography during treadmill exercise using a novel ultrasound transducer. Echocardiography. 2010;27:563–6. https://doi.org/10.1111/j.1540-8175.2009.01056.x.

    CAS  Article  PubMed  Google Scholar 

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Acknowledgements

This study was funded by the European Community’s Seventh Framework Programme under Grant Agreement No. 318067.

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Correspondence to H. Maarten Heres.

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The authors declare that they have no conflict of interest.

Ethical approval

The research proposal was reviewed by the local Medical Ethics Committee of the Máxima Medical Centre, Veldhoven, The Netherlands, and ethical approval was waived.

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Heres, H.M., Sjoerdsma, M., Schoots, T. et al. Image acquisition stability of fixated musculoskeletal sonography in an exercise setting: a quantitative analysis and comparison with freehand acquisition. J Med Ultrasonics 47, 47–56 (2020). https://doi.org/10.1007/s10396-019-00983-x

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Keywords

  • Musculoskeletal sonography
  • Ultrasound
  • Image quality
  • Probe fixation
  • Structural similarity