Analyzing imaging biomarkers for traumatic brain injury using 4D modeling of longitudinal MRI

Update item information
Publication Type pre-print
School or College <blank>
Department <blank>
Creator Gerig, Guido
Other Author Wang, Bo; Prastawa, Marcel; Irimia, Andrei; Chambers, Micah C.; Sadeghi, Neda; Vespa, Paul M.; van Horn, John D.
Title Analyzing imaging biomarkers for traumatic brain injury using 4D modeling of longitudinal MRI
Date 2013-01-01
Description Quantitative imaging biomarkers are important for assessment of impact, recovery and treatment efficacy in patients with traumatic brain injury (TBI). To our knowledge, the identification of such biomarkers characterizing disease progress and recovery has been insufficiently explored in TBI due to difficulties in registration of baseline and followup data and automatic segmentation of tissue and lesions from multimodal, longitudinal MR image data. We propose a new methodology for computing imaging biomarkers in TBI by extending a recently proposed spatiotemporal 4D modeling approach in order to compute quantitative features of tissue change. The proposed method computes surface-based and voxel-based measurements such as cortical thickness, volume changes, and geometric deformation. We analyze the potential for clinical use of these biomarkers by correlating them with TBI-specific patient scores at the level of the whole brain and of individual regions. Our preliminary results indicate that the proposed voxel-based biomarkers are correlated with clinical outcomes.
Type Text
Publisher Institute of Electrical and Electronics Engineers (IEEE)
First Page 1392
Last Page 1395
Language eng
Bibliographic Citation Wang, Bo., Prastawa, M., Irimia, A., Chambers, M. C., Sadeghi, N., Vespa, P. M., van Horn, J .D., & Gerig, G. (2013). Analyzing imaging biomarkers for traumatic brain injury using 4D modeling of longitudinal MRI. In 2013 IEEE Proceedings of 10th International Symposium on Biomedical Imaging (ISBI), 1392-5.
Rights Management (c) 2014 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
Format Medium application/pdf
Format Extent 2,702,767 bytes
Identifier uspace,19122
ARK ark:/87278/s6tj1wsx
Setname ir_uspace
Date Created 2014-12-29
Date Modified 2015-01-06
ID 712759
Reference URL https://collections.lib.utah.edu/ark:/87278/s6tj1wsx
Back to Search Results