Journal of Medical Systems

, 43:34 | Cite as

Non-Linear Filtering Technique Used for Testing the Human Lumbar Spine FEA Model

  • E. PunarselvamEmail author
  • P. Suresh
Mobile & Wireless Health
Part of the following topical collections:
  1. Wearable Computing Techniques for Smart Health


In this paper, the objective is to generate a mesh model of a spine that simulates numerically the biomedical properties of two vertebrae (L4 and L5) of human spine and an inter vertebrae disc using Finite Element Analysis (FEA) technique. Here, different types of non-linear filters and different edge detection techniques are used to segment the edges and the results are compared. The result shows that median filter obtains improved segmented output results in terms of edge length density, average magnitude, final threshold, initial position, and fine-tuned image. The behaviour of spine FEA model is analysed in terms of various parameters like equivalent elastic strain, total deformation, maximum principal elastic strain, minimum principal elastic strain, shear elastic strain, normal elastic strain, and minimum and maximum principal stress, equivalent stress, shear stress and normal stress. These parameters are used to analyse the human spine model under different conditions and different angles using ANSYS simulation tool. Further, MATLAB is carried out to implement various filters and edge detectors on proposed spine model.


Filters Edge detection MRI Finite element analysis 


Compliance with ethical standards

Conflict of interests

The authors declare that this article content has no conflict of interest.

Ethical approval

This article does not contain any studies with human participants or animals performed by any of the author.


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© Springer Science+Business Media, LLC, part of Springer Nature 2019

Authors and Affiliations

  1. 1.Department of Information TechnologyMuthayammal Engineering CollegeRasipuramIndia
  2. 2.Department of Mechanical EngineeringMuthayammal Engineering CollegeRasipuramIndia

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