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A Real-Time Analysis of Traumatic Brain Injury from T2 Weighted Magnetic Resonance Images Using a Symmetry-Based Algorithm

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Video Bioinformatics

Part of the book series: Computational Biology ((COBO,volume 22))

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Abstract

In this chapter, we provide an automated computational algorithm for detection of traumatic brain injury (TBI) from T2-weighted magnetic resonance (MRI) images. The algorithm uses a combination of brain symmetry and 3D connectivity in order to detect the regions of injury. The images are preprocessed by removing all non-brain tissue components. The ability of our symmetry-based algorithm to detect the TBI lesion is compared to manual detection. While manual detection is very operator-dependent which can introduce intra- and inter-operator error, the automated detection method does not have these limitations and can perform skull stripping and lesion detection in real-time and more rapidly than manual detection. The symmetry-based algorithm was able to detect the lesion in all TBI animal groups with no false positives when it was tested versus a naive animal control group.

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Acknowledgements

Devin McBride was supported by an NSF IGERT Video Bioinformatics Fellowship (Grant DGE 0903667). This study was supported by funding from Department of Defense (DCMRP #DR080470 to AO).

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Authors and Affiliations

  1. Department of Mechanical and Aerospace Engineering, University at Buffalo SUNY, Buffalo, NY, USA

    Ehsan T. Esfahani & Somayeh B. Shafiei

  2. Department of Physiology and Pharmacology, Loma Linda University, Loma Linda, CA, USA

    Devin W. McBride

  3. Department of Pediatrics, Loma Linda University, Loma Linda, CA, USA

    Andre Obenaus

Authors
  1. Ehsan T. Esfahani
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  2. Devin W. McBride
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  3. Somayeh B. Shafiei
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  4. Andre Obenaus
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Corresponding author

Correspondence to Andre Obenaus .

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Editors and Affiliations

  1. University of California, Riverside, California, USA

    Bir Bhanu

  2. University of California, Riverside, California, USA

    Prue Talbot

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Esfahani, E.T., McBride, D.W., Shafiei, S.B., Obenaus, A. (2015). A Real-Time Analysis of Traumatic Brain Injury from T2 Weighted Magnetic Resonance Images Using a Symmetry-Based Algorithm. In: Bhanu, B., Talbot, P. (eds) Video Bioinformatics. Computational Biology, vol 22. Springer, Cham. https://doi.org/10.1007/978-3-319-23724-4_5

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  • DOI: https://doi.org/10.1007/978-3-319-23724-4_5

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-23723-7

  • Online ISBN: 978-3-319-23724-4

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