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Brain Midline Shift Measurement and Its Automation: A Review of Techniques and Algorithms
Joint Authors
Liao, Chun-Chih
Chen, Ya-Fang
Xiao, Furen
Source
International Journal of Biomedical Imaging
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-13, 13 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-04-12
Country of Publication
Egypt
No. of Pages
13
Main Subjects
Abstract EN
Midline shift (MLS) of the brain is an important feature that can be measured using various imaging modalities including X-ray, ultrasound, computed tomography, and magnetic resonance imaging.
Shift of midline intracranial structures helps diagnosing intracranial lesions, especially traumatic brain injury, stroke, brain tumor, and abscess.
Being a sign of increased intracranial pressure, MLS is also an indicator of reduced brain perfusion caused by an intracranial mass or mass effect.
We review studies that used the MLS to predict outcomes of patients with intracranial mass.
In some studies, the MLS was also correlated to clinical features.
Automated MLS measurement algorithms have significant potentials for assisting human experts in evaluating brain images.
In symmetry-based algorithms, the deformed midline is detected and its distance from the ideal midline taken as the MLS.
In landmark-based ones, MLS was measured following identification of specific anatomical landmarks.
To validate these algorithms, measurements using these algorithms were compared to MLS measurements made by human experts.
In addition to measuring the MLS on a given imaging study, there were newer applications of MLS that included comparing multiple MLS measurement before and after treatment and developing additional features to indicate mass effect.
Suggestions for future research are provided.
American Psychological Association (APA)
Liao, Chun-Chih& Chen, Ya-Fang& Xiao, Furen. 2018. Brain Midline Shift Measurement and Its Automation: A Review of Techniques and Algorithms. International Journal of Biomedical Imaging،Vol. 2018, no. 2018, pp.1-13.
https://search.emarefa.net/detail/BIM-1169498
Modern Language Association (MLA)
Liao, Chun-Chih…[et al.]. Brain Midline Shift Measurement and Its Automation: A Review of Techniques and Algorithms. International Journal of Biomedical Imaging No. 2018 (2018), pp.1-13.
https://search.emarefa.net/detail/BIM-1169498
American Medical Association (AMA)
Liao, Chun-Chih& Chen, Ya-Fang& Xiao, Furen. Brain Midline Shift Measurement and Its Automation: A Review of Techniques and Algorithms. International Journal of Biomedical Imaging. 2018. Vol. 2018, no. 2018, pp.1-13.
https://search.emarefa.net/detail/BIM-1169498
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1169498