MRI Segmentation of the Human Brain: Challenges, Methods, and Applications
Joint Authors
Despotović, Ivana
Goossens, Bart
Philips, Wilfried
Source
Computational and Mathematical Methods in Medicine
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-23, 23 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-03-01
Country of Publication
Egypt
No. of Pages
23
Main Subjects
Abstract EN
Image segmentation is one of the most important tasks in medical image analysis and is often the first and the most critical step in many clinical applications.
In brain MRI analysis, image segmentation is commonly used for measuring and visualizing the brain’s anatomical structures, for analyzing brain changes, for delineating pathological regions, and for surgical planning and image-guided interventions.
In the last few decades, various segmentation techniques of different accuracy and degree of complexity have been developed and reported in the literature.
In this paper we review the most popular methods commonly used for brain MRI segmentation.
We highlight differences between them and discuss their capabilities, advantages, and limitations.
To address the complexity and challenges of the brain MRI segmentation problem, we first introduce the basic concepts of image segmentation.
Then, we explain different MRI preprocessing steps including image registration, bias field correction, and removal of nonbrain tissue.
Finally, after reviewing different brain MRI segmentation methods, we discuss the validation problem in brain MRI segmentation.
American Psychological Association (APA)
Despotović, Ivana& Goossens, Bart& Philips, Wilfried. 2015. MRI Segmentation of the Human Brain: Challenges, Methods, and Applications. Computational and Mathematical Methods in Medicine،Vol. 2015, no. 2015, pp.1-23.
https://search.emarefa.net/detail/BIM-1057901
Modern Language Association (MLA)
Despotović, Ivana…[et al.]. MRI Segmentation of the Human Brain: Challenges, Methods, and Applications. Computational and Mathematical Methods in Medicine No. 2015 (2015), pp.1-23.
https://search.emarefa.net/detail/BIM-1057901
American Medical Association (AMA)
Despotović, Ivana& Goossens, Bart& Philips, Wilfried. MRI Segmentation of the Human Brain: Challenges, Methods, and Applications. Computational and Mathematical Methods in Medicine. 2015. Vol. 2015, no. 2015, pp.1-23.
https://search.emarefa.net/detail/BIM-1057901
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1057901