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.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
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)
Chrisman, O.D., Snook, G.A.: Reconstruction of lateral ligament tears of the ankle. J. Bone Joint Surg. 51(5), 904–912 (1969)
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. IEEE
Tegner, Y., Lysholm, J.: Rating systems in the evaluation of knee ligament injuries. Clin. Orthop. Relat. Res. 198, 42–49 (1985)
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)
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)
Yeung, M., Chan, K.-M., So, C., Yuan, W.: An epidemiological survey on ankle sprain. Br. J. Sports Med. 28(2), 112–116 (1994)
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)
Boden, B.P., Feagin Jr., J.A., Garrett Jr., W.E.: Mechanisms of anterior cruciate ligament injury. Orthopedics 23(6), 573 (2000)
Van Dijk, C.N.: On diagnostic strategies in patients with severe ankle sprain. Rodopi (1994)
Broström, L.: Sprained ankles. V. Treatment and prognosis in recent ligament ruptures. Acta Chir. Scand. 132(5), 537–550 (1966)
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)
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)
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)
Smith, R.W., Reischl, S.F.: Treatment of ankle sprains in young athletes. Am. J. Sports Med. 14(6), 465–471 (1986)
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)
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)
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)
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)
Gould, P.: MRI and ultrasound reveal early signs of rheumatoid arthritis. Diagnostic Imaging (2009)
Craig, J.G.: Ultrasound of ligaments and bone. Ultrasound Clin. 2(4), 617–637 (2007)
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. Springer
Guide, M.U.s.: The MathWorks Inc. Natick, MA 4, 382 (1998)
MathWorks, I.: MATLAB: the language of technical computing. Desktop tools and development environment, version 7, vol. 9. MathWorks (2005)
Guide, M.U.s.: The mathworks. Inc., Natick, MA 5, 333 (1998)
Gonzalez, R.C., Woods, R.E., Eddins, S.L.: Digital Image Processing Using MATLAB. Pearson Education India, London (2004)
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)
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)
Schmähling, J.: Statistical characterization of technical surface microstructure (2006)
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)
Woodford, O.: Marching Cubes (2011). http://www.mathworks.com/matlabcentral/fileexchange/32506-marching-cubes
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).
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2015 Springer International Publishing Switzerland
About this paper
Cite this paper
Singh, V., Elamvazuthi, I., Jeoti, V., George, J., Swain, A.K., Kumar, D. (2015). 3D Reconstruction of CFL Ligament Based on Ultrasonographic Images. In: Badioze Zaman, H., et al. Advances in Visual Informatics. IVIC 2015. Lecture Notes in Computer Science(), vol 9429. Springer, Cham. https://doi.org/10.1007/978-3-319-25939-0_44
Download citation
DOI: https://doi.org/10.1007/978-3-319-25939-0_44
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-25938-3
Online ISBN: 978-3-319-25939-0
eBook Packages: Computer ScienceComputer Science (R0)