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)


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.


Ultrasound imaging Smoothing Filtering Marching cube method 3D reconstruction 



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).


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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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