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Progress in Advanced Computing and Intelligent Engineering pp 197–207Cite as

Lesion Volume Estimation from TBI–MRI

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 563))

Abstract

Traumatic brain injury (TBI) is a major problem affecting millions of people around the world every year. Usually, TBI results from any direct or indirect physical impact, sudden jerks, or blunt impacts to the head, leading to damage to the brain. Current research in TBI is focused on analyzing the biological and behavioral states of patients prone to such injuries. This paper presents a technique applied on MRI images in estimation of lesion volumes in brain tissues of traumatic brain-injured laboratory rats that were subjected to controlled cortical impacts. The lesion region in the brain tissue is estimated using segmentation of the brain, diffusion, and the damage regions. After the segmentation, the area of the damaged portion is estimated across each slice of MRI and the combined volume of damage is estimated through 3D reconstruction.

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Author information

Authors and Affiliations

  1. College of Engineering, University of Georgia, Athens, GA, USA

    O. V. Sanjay Sarma & Ramana Pidaparti

  2. Regenerative Bioscience Center, The University of Georgia, Athens, GA, USA

    Martha Betancur & L. Karumbaiah

Authors
  1. O. V. Sanjay Sarma
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  2. Martha Betancur
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  3. Ramana Pidaparti
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  4. L. Karumbaiah
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Corresponding author

Correspondence to O. V. Sanjay Sarma .

Editor information

Editors and Affiliations

  1. Faculty of Computer Science, Białystok University of Technology, Białystok, Poland

    Khalid Saeed

  2. Department of Computer Science and Engineering, University of Calcutta, Kolkata, India

    Nabendu Chaki

  3. C.V. Raman College of Engineering, Bhubaneswar, Odisha, India

    Bibudhendu Pati

  4. Department of Computer Science and Engineering, National Institute of Technology, Rourkela, Rourkela, Odisha, India

    Sambit Bakshi

  5. Department of Computer Science and Engineering, National Institute of Technology, Rourkela, Rourkela, Odisha, India

    Durga Prasad Mohapatra

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© 2018 Springer Nature Singapore Pte Ltd.

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Cite this paper

Sanjay Sarma, O.V., Betancur, M., Pidaparti, R., Karumbaiah, L. (2018). Lesion Volume Estimation from TBI–MRI. In: Saeed, K., Chaki, N., Pati, B., Bakshi, S., Mohapatra, D. (eds) Progress in Advanced Computing and Intelligent Engineering. Advances in Intelligent Systems and Computing, vol 563. Springer, Singapore. https://doi.org/10.1007/978-981-10-6872-0_19

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  • DOI: https://doi.org/10.1007/978-981-10-6872-0_19

  • Published:

  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-6871-3

  • Online ISBN: 978-981-10-6872-0

  • eBook Packages: EngineeringEngineering (R0)

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