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A Machine Learning Approach for Specification of Spinal Cord Injuries Using Fractional Anisotropy Values Obtained from Diffusion Tensor Images
Joint Authors
Hyun, Jung Keun
Oh, Sejong
Tay, Bunheang
Source
Computational and Mathematical Methods in Medicine
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-01-21
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Abstract EN
Diffusion Tensor Imaging (DTI) uses in vivo images that describe extracellular structures by measuring the diffusion of water molecules.
These images capture axonal movement and orientation using echo-planar imaging and provide critical information for evaluating lesions and structural damage in the central nervous system.
This information can be used for prediction of Spinal Cord Injuries (SCIs) and for assessment of patients who are recovering from such injuries.
In this paper, we propose a classification scheme for identifying healthy individuals and patients.
In the proposed scheme, a dataset is first constructed from DTI images, after which the constructed dataset undergoes feature selection and classification.
The experiment results show that the proposed scheme aids in the diagnosis of SCIs.
American Psychological Association (APA)
Tay, Bunheang& Hyun, Jung Keun& Oh, Sejong. 2014. A Machine Learning Approach for Specification of Spinal Cord Injuries Using Fractional Anisotropy Values Obtained from Diffusion Tensor Images. Computational and Mathematical Methods in Medicine،Vol. 2014, no. 2014, pp.1-8.
https://search.emarefa.net/detail/BIM-459665
Modern Language Association (MLA)
Tay, Bunheang…[et al.]. A Machine Learning Approach for Specification of Spinal Cord Injuries Using Fractional Anisotropy Values Obtained from Diffusion Tensor Images. Computational and Mathematical Methods in Medicine No. 2014 (2014), pp.1-8.
https://search.emarefa.net/detail/BIM-459665
American Medical Association (AMA)
Tay, Bunheang& Hyun, Jung Keun& Oh, Sejong. A Machine Learning Approach for Specification of Spinal Cord Injuries Using Fractional Anisotropy Values Obtained from Diffusion Tensor Images. Computational and Mathematical Methods in Medicine. 2014. Vol. 2014, no. 2014, pp.1-8.
https://search.emarefa.net/detail/BIM-459665
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-459665