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3D Reconstruction of CFL Ligament Based on Ultrasonographic Images

  • Vedpal Singh
  • Irraivan ElamvazuthiEmail author
  • Varun Jeoti
  • John George
  • Akshya Kumar Swain
  • Dileep Kumar
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9429)

Abstract

Ultrasound imaging is a cost-effective diagnostic tool to analyze a number of diseases related to ligament, tendon, bone, blood flow estimation, etc. However, ultrasound imaging has some limitations such as shadowing, speckle noise, attenuation, mirror image, limited view visualization and inaccurate quantitative estimation that are the main causes of wrong interpretation about the CFL injuries by the clinicians. To overcome these investigated problems, this study proposed a 3D reconstruction method to enhance the Calcaneofibular Ligament (CFL) diagnosis, which is tested on collected datasets from the University Malaya Medical Center (UMMC), Malaysia. The proposed method uses the association of image segmentation, image registration, 3D smoothing, 3D median filtering, and standard marching cube method, patching and rendering methods to produce the more accurate 3D results. In order to evaluate the performance of the proposed method, this research performed the qualitative and quantitative analysis based on the obtained results. On the basis of obtained results, the proposed method is found as a memory efficient method as compared to Oliver et al. method and Lorensen et al. method. Furthermore, performance of the proposed method is evaluated by the calculation of 3D geometrical metrics such as volume (1094.04 ± 74.97 mm3), thickness (2.06 ± 0.10 mm) and roughness (0.116 ± 0.02 mm), which are used in the estimation of healing rate of incurred injuries. In addition, this research opens new research dimensions for efficient musculoskeletal ultrasound modelling that makes it useful in clinical settings with accurate and cost effective diagnosis of CFL injuries.

Keywords

Ultrasound imaging Smoothing Filtering Marching cube method 3D reconstruction 

Notes

Acknowledgments

The authors would like to thank UTP, Malaysia for their assistance and Ministry of Education (MOE) for sponsoring the project under grant entitled ‘Formulation of Mathematical Model for 3-D Reconstruction of Ultrasound Images of MSK Disorders’ (Grant no. 0153AB-I55).

References

  1. 1.
    Trč, T., Handl, M., Havlas, V.: The anterior talo-fibular ligament reconstruction in surgical treatment of chronic lateral ankle instability. Int. Orthop. 34(7), 991–996 (2010)CrossRefGoogle Scholar
  2. 2.
    Chrisman, O.D., Snook, G.A.: Reconstruction of lateral ligament tears of the ankle. J. Bone Joint Surg. 51(5), 904–912 (1969)Google Scholar
  3. 3.
    Singh, V., Elamvazuthi, I., Jeoti, V., George, J.: 3D reconstruction of ATFL ligament using ultrasound images. In: 2014 5th International Conference on 2014 Intelligent and Advanced Systems (ICIAS), pp. 1–5. IEEEGoogle Scholar
  4. 4.
    Tegner, Y., Lysholm, J.: Rating systems in the evaluation of knee ligament injuries. Clin. Orthop. Relat. Res. 198, 42–49 (1985)Google Scholar
  5. 5.
    Freeman, M.: Instability of the foot affer injuries to the lateral ligament of the ankle. J. Bone Joint Surg., Brit. 47(4), 669–677 (1965)Google Scholar
  6. 6.
    Beynnon, B.D., Renström, P.A., Alosa, D.M., Baumhauer, J.F., Vacek, P.M.: Ankle ligament injury risk factors: a prospective study of college athletes. J. Orthop. Res. 19(2), 213–220 (2001)CrossRefGoogle Scholar
  7. 7.
    Yeung, M., Chan, K.-M., So, C., Yuan, W.: An epidemiological survey on ankle sprain. Br. J. Sports Med. 28(2), 112–116 (1994)CrossRefGoogle Scholar
  8. 8.
    Hewett, T.E., Myer, G.D., Ford, K.R., Heidt, R.S., Colosimo, A.J., McLean, S.G., Van den Bogert, A.J., Paterno, M.V., Succop, P.: Biomechanical measures of neuromuscular control and valgus loading of the knee predict anterior cruciate ligament injury risk in female athletes a prospective study. Am. J. Sports Med. 33(4), 492–501 (2005)CrossRefGoogle Scholar
  9. 9.
    Boden, B.P., Feagin Jr., J.A., Garrett Jr., W.E.: Mechanisms of anterior cruciate ligament injury. Orthopedics 23(6), 573 (2000)Google Scholar
  10. 10.
    Van Dijk, C.N.: On diagnostic strategies in patients with severe ankle sprain. Rodopi (1994)Google Scholar
  11. 11.
    Broström, L.: Sprained ankles. V. Treatment and prognosis in recent ligament ruptures. Acta Chir. Scand. 132(5), 537–550 (1966)Google Scholar
  12. 12.
    Eisenhart, A.W., Gaeta, T.J., Yens, D.P.: Osteopathic manipulative treatment in the emergency department for patients with acute ankle injuries. JAOA. J. Am. Osteopath. Assoc. 103(9), 417–421 (2003)Google Scholar
  13. 13.
    Hosea, T.M., Carey, C.C., Harrer, M.F.: The gender issue: epidemiology of ankle injuries in athletes who participate in basketball. Clin. Orthop. Relat. Res. 372, 45–49 (2000)CrossRefGoogle Scholar
  14. 14.
    Muschol, M., Müller, I., Petersen, W., Hassenpflug, J.: Symptomatic calcification of the medial collateral ligament of the knee joint: a report about five cases. Knee Surg. Sports Traumatol. Arthrosc. 13(7), 598–602 (2005)CrossRefGoogle Scholar
  15. 15.
    Smith, R.W., Reischl, S.F.: Treatment of ankle sprains in young athletes. Am. J. Sports Med. 14(6), 465–471 (1986)CrossRefGoogle Scholar
  16. 16.
    Trevino, S.G., Davis, P., Hecht, P.J.: Management of acute and chronic lateral ligament injuries of the ankle. Orthop. Clin. N. Am. 25(1), 1–16 (1994)Google Scholar
  17. 17.
    Kannus, P., Renstrom, P.: Current concepts review: treatment for acute tears of the lateral ligaments of the ankle. J. Bone Joint Surg. Am. 73(2), 305–312 (1991)Google Scholar
  18. 18.
    Schneck, C.D., Mesgarzadeh, M., Bonakdarpour, A.: MR imaging of the most commonly injured ankle ligaments. Part II. Ligament injuries. Radiology 184(2), 507–512 (1992)CrossRefGoogle Scholar
  19. 19.
    Khan, M.A.H.: 3D reconstruction of ultrasound images. MSc in vision and robotics. University of Burgundy, University of Girona and University of Heriot Watt (2008)Google Scholar
  20. 20.
    Gould, P.: MRI and ultrasound reveal early signs of rheumatoid arthritis. Diagnostic Imaging (2009)Google Scholar
  21. 21.
    Craig, J.G.: Ultrasound of ligaments and bone. Ultrasound Clin. 2(4), 617–637 (2007)MathSciNetCrossRefGoogle Scholar
  22. 22.
    Singh, V., Elamvazuthi, I., Jeoti, V., George, J.: Automatic ultrasound image segmentation framework based on darwinian particle swarm optimization. In: Proceedings of the 18th Asia Pacific Symposium on Intelligent and Evolutionary Systems, vol. 1, pp. 225–236. SpringerGoogle Scholar
  23. 23.
    Guide, M.U.s.: The MathWorks Inc. Natick, MA 4, 382 (1998)Google Scholar
  24. 24.
    MathWorks, I.: MATLAB: the language of technical computing. Desktop tools and development environment, version 7, vol. 9. MathWorks (2005)Google Scholar
  25. 25.
    Guide, M.U.s.: The mathworks. Inc., Natick, MA 5, 333 (1998)Google Scholar
  26. 26.
    Gonzalez, R.C., Woods, R.E., Eddins, S.L.: Digital Image Processing Using MATLAB. Pearson Education India, London (2004)Google Scholar
  27. 27.
    Legland, D., Kiêu, K., Devaux, M.-F.: Computation of Minkowski measures on 2D and 3D binary images. Image Anal. Tereology 26(2), 83–92 (2011)CrossRefGoogle Scholar
  28. 28.
    Charemza, M., Thönnes, E., Bhalerao, A., Parr, D.: Integral geometry descriptors for characterizing emphysema and lung fibrosis in HRCT images. In: First International Workshop on Pulmonary Image Processing (MICCAI 2008), pp. 155–164 (2008)Google Scholar
  29. 29.
    Schmähling, J.: Statistical characterization of technical surface microstructure (2006)Google Scholar
  30. 30.
    Lorensen, W.E., Cline, H.E.: Marching cubes: A high resolution 3D surface construction algorithm. In: ACM Siggraph Computer Graphics 1987, vol. 4, pp. 163–169. ACM (1987)Google Scholar
  31. 31.

Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  • Vedpal Singh
    • 1
  • Irraivan Elamvazuthi
    • 1
    Email author
  • Varun Jeoti
    • 1
  • John George
    • 2
  • Akshya Kumar Swain
    • 3
  • Dileep Kumar
    • 1
  1. 1.Universiti Teknologi PETRONAS (UTP)Bandar Seri IskandarMalaysia
  2. 2.University of Malaya Research Imaging CentreKuala LumpurMalaysia
  3. 3.University of AucklandAucklandNew Zealand

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