Publication Type |
pre-print |
School or College |
<blank> |
Department |
<blank> |
Creator |
Gerig, Guido |
Other Author |
Liu, Zhexing; Zhu, Hongtu; Marks, Bonita L.; Katz, Laurence M.; Goodlett, Casey B.; Styner, Martin |
Title |
Voxel-wise group analysis of DTI |
Date |
2009-01-01 |
Description |
Diffusion tensor MRI (DTI) is now a widely used modality to investigate the fiber tissues in vivo, especially the white matter in brain. An automatic pipeline is described in this paper to conduct a localized voxel-wise multiple-subject group comparison study of DTI. The pipeline consists of 3 steps: 1) Preprocessing, including image format converting, image quality check, eddy-current and motion artifact correction, skull stripping and tensor image estimation, 2) study-specific unbiased DTI atlas computation via affine followed by fluid nonlinear registration and warping of all individual DTI images into the common atlas space to achieve voxel-wise correspondence, 3) voxel-wise statistical analysis via heterogeneous linear regression and wild bootstrap technique for correcting for multiple comparisons. This pipeline was applied to process data from a fitness and aging study and preliminary results are presented. The results show that this fully automatic pipeline is suitable for voxel-wise group DTI analysis. |
Type |
Text |
Publisher |
Institute of Electrical and Electronics Engineers (IEEE) |
First Page |
807 |
Last Page |
810 |
Language |
eng |
Bibliographic Citation |
Liu, Z., Zhu, H., Marks, B. L., Katz, L. M., Goodlett, C. B., Gerig, G., & Styner, M. (2009). Voxel-wise group analysis of DTI. Proceedings of the IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 807-10. |
Rights Management |
(c) 2009 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 |
344,582 bytes |
Identifier |
uspace,19221 |
ARK |
ark:/87278/s69d06j3 |
Setname |
ir_uspace |
ID |
712794 |
Reference URL |
https://collections.lib.utah.edu/ark:/87278/s69d06j3 |