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3-D Shape Reconstruction Based CT Image Enhancement

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Handbook of Multimedia Information Security: Techniques and Applications

Abstract

In medical science, Computed Tomography is one of the powerful tools to reconstruct 3D image with measuring stack of parallel slices, where Radon transform is useful to get image slices by set of line integrals. 3D reconstructed images are very helpful to analyze multiple abnormalities in comparison of 2D images. Only CT scanned images is not sufficient to get the exact position and surface information of patients. This paper is dealing with the problem of direct 3D-reconstruction of medical images. We examined 3D surface reconstruction over 2D-CT scanned image and also tested over the simulated image. Shape from shading (SFS) technique is useful to get the geometric information for recover features from variation of shading. In this paper, Fast Marching Method (FMM) is used to get the 3D surface over the medical images (i.e., real image and synthetic image).

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Author information

Authors and Affiliations

  1. Department of CSE, DIT University, Dehradun, Uttarakhand, India

    Manoj Diwakar

  2. Department of CSE and IT, Jaypee University Of Information Technology, Solan, Himachal Pradesh, India

    Pardeep Kumar

Authors
  1. Manoj Diwakar
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  2. Pardeep Kumar
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Editor information

Editors and Affiliations

  1. Department of Computer Science and Engineering, NIT Patna, Patna, India

    Amit Kumar Singh

  2. Department of Electronics Engineering, Indian Institute of Technology, BHU, Varanasi, Uttar Pradesh, India

    Anand Mohan

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Diwakar, M., Kumar, P. (2019). 3-D Shape Reconstruction Based CT Image Enhancement. In: Singh, A., Mohan, A. (eds) Handbook of Multimedia Information Security: Techniques and Applications. Springer, Cham. https://doi.org/10.1007/978-3-030-15887-3_19

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  • DOI: https://doi.org/10.1007/978-3-030-15887-3_19

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-15886-6

  • Online ISBN: 978-3-030-15887-3

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