title: A machine learning approach for specification of spinal cord injuries using fractional anisotropy values obtained from diffusion tensor images.
abstract: 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.
authors.affiliation: Department of Nanobiomedical Science, Dankook University, Cheonan 330-714, Republic of Korea.
authors.forename: Bunheang
authors.identifier: 0000-0002-4812-9925
authors.initials: B
authors.lastname: Tay
authors.affiliation: Department of Nanobiomedical Science, Dankook University, Cheonan 330-714, Republic of Korea.
authors.forename: Jung Keun
authors.initials: JK
authors.lastname: Hyun
authors.affiliation: Department of Nanobiomedical Science, Dankook University, Cheonan 330-714, Republic of Korea.
authors.forename: Sejong
authors.identifier: 0000-0002-9365-274X
authors.initials: S
authors.lastname: Oh
mesh_terms: D000465:Algorithms; D016880:Anisotropy; D001185:Artificial Intelligence; D019295:Computational Biology / Q000379:methods; D003936:Diagnosis, Computer-Assisted; D004058:Diffusion; D056324:Diffusion Tensor Imaging / Q000379:methods*; D006801:Humans; D007091:Image Processing, Computer-Assisted; D008279:Magnetic Resonance Imaging / Q000379:methods; D015233:Models, Statistical; D016571:Neural Networks, Computer; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D012984:Software; D013119:Spinal Cord Injuries / Q000175:diagnosis*