Machine learning-based classification of chronic traumatic brain injury using hybrid diffusion imaging

Machine learning-based classification of chronic traumatic brain injury using hybrid diffusion imaging

Background and purposeTraumatic brain injury (TBI) can cause progressive neuropathology that leads to chronic impairments, creating a need for biomarkers to detect and monitor this condition to improve outcomes. This study aimed to analyze the ability of data-driven analysis of diffusion tensor imag...

Full description

Bibliographic Details
Main Authors: Jennifer J. Muller, Ruixuan Wang, Devon Milddleton, Mahdi Alizadeh, Ki Chang Kang, Ryan Hryczyk, George Zabrecky, Chloe Hriso, Emily Navarreto, Nancy Wintering, Anthony J. Bazzan, Chengyuan Wu, Daniel A. Monti, Xun Jiao, Qianhong Wu, Andrew B. Newberg, Feroze B. Mohamed
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-08-01
Series:Frontiers in Neuroscience
Subjects:
traumatic brain injury
machine learning
hybrid diffusion imaging
diffusion tensor imaging (DTI)
neurite orientation dispersion and density imaging (NODDI)
Online Access:https://www.frontiersin.org/articles/10.3389/fnins.2023.1182509/full

Internet

https://www.frontiersin.org/articles/10.3389/fnins.2023.1182509/full

Similar Items