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Visualization of dentate nucleus, pontine tegmentum, pontine nuclei from CT image via nonlinear perspective projection

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Abstract

Neurologist analyses shape and structure of brain parts through any medical images such as CT, MRI, and PET for disease diagnosis. For diagnosis, automatic medical image segmentation segments the parts of brain with low contrast, and artefacts are never removed over boundary region in different parts of brain. Manual segmentation shows poor differentiation in boundary regions due to artefacts or steaks. In this paper, we propose dyadic CAT optimisation (DCO) algorithm for segmenting the brain regions from CT and MRI images via nonlinear perspective foreground and background projection. DCO algorithm provides exact structure and shape of brain regions and eliminates artefacts in boundary regions. DCO algorithm delineates the boundary region such as dentate nucleus, pontine tegmentum, pontine nuclei, petrosal nerve, petrous part of temporal bone, crista galli, internal occipital crest, and mastoid emissary foramen in brain image with high visibility and enhanced boundary and differentiates deformable shape. Performance of DCO algorithm is evaluated through 50 MRI and CT brain images and eight images with complex bone and muscle mass structures of brain. DCO algorithm shows an accuracy of 90% through structural similarity index.

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The code is available from the corresponding author on reasonable request.

Availability of data and material

The datasets used and/or analyzed during the current study are available from the corresponding author on reasonable request.

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Authors and Affiliations

  1. Department of Electronics and Communication Engineering, J.N.N Institute of Engineering, Chennai, Tamil Nadu, India

    R. Partheepan

  2. Department of Electronics and Communication Engineering, Kings Engineering College, Chennai, Tamil Nadu, India

    J. Raja Paul Perinbam

  3. Department of Computer Science and Engineering, Kings Engineering College, Chennai, Tamil Nadu, India

    M. Krishnamurthy

  4. Department of Electronics and Communication Engineering, Aalim Muhammed Salegh College of Engineering, Chennai, Tamil Nadu, India

    N. R. Shanker

Authors
  1. R. Partheepan
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  2. J. Raja Paul Perinbam
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  3. M. Krishnamurthy
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  4. N. R. Shanker
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Contributions

Conceptualization, Raja Paul Perinbam; Methodology, R. Partheepan, Raja Paul Perinbam. M. Krishnamurthy; Formal Analysis, R. Partheepan, M. Krishnamurthy and N. R. Shanker; Resources, N.R. Shanker; Writing—Original Draft Preparation, R. Partheepan, Raja Paul Perinbam; Writing—Review and Editing, N.R. Shanker; Supervision, Raja Paul Perinbam.

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Correspondence to R. Partheepan.

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All procedures were in accordance with the 1964 Helsinki Declaration (and its amendments). No approval by ethical committee or institutional review board was required.

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Partheepan, R., Raja Paul Perinbam, J., Krishnamurthy, M. et al. Visualization of dentate nucleus, pontine tegmentum, pontine nuclei from CT image via nonlinear perspective projection. SIViP 16, 137–145 (2022). https://doi.org/10.1007/s11760-021-01973-8

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  • DOI: https://doi.org/10.1007/s11760-021-01973-8

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