Quantitative analysis of brain herniation from non-contrast CT images using deep learning.

Journal: Journal of neuroscience methods
Published Date: Dec 13, 2020

Abstract

BACKGROUND: Brain herniation is one of the fatal outcomes of increased intracranial pressure (ICP). It is caused due to the presence of hematoma or tumor mass in the brain. Ideal midline (iML) divides the healthy brain into two (right and left) nearly equal hemispheres. In the presence of hematoma, the midline tends to shift from its original position to the contralateral side of the mass and thus develops a deformed midline (dML).

Authors

  • Manas Kumar Nag
    School of Medical Science and Technology, Indian Institute of Technology, Kharagpur, India. Electronic address: manasnag481@gmail.com.
  • Akshat Gupta
    Department of Electrical Engineering, Indian Institute of Technology, Kharagpur, India.
  • A S Hariharasudhan
    Department of Computer Science, Delhi Technological University, New Delhi, India.
  • Anup Kumar Sadhu
    EKO Diagnostics, Medical College and Hospitals Campus, Kolkata, India.
  • Abir Das
    Department of Computer Science, Indian Institute of Technology, Kharagpur, India.
  • Nirmalya Ghosh

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