@inproceedings{a395a2ff2d2742a5bbf21a14b57d015e,
title = "Voxel-wise group analysis of dti",
abstract = "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.",
keywords = "Diffusion tensor, Group comparison., MRI, Voxel-wise analysis",
author = "Zhexing Liu and Hongtu Zhu and Marks, {Bonita L.} and Katz, {Laurence M.} and Goodlett, {Casey B.} and Guido Gerig and Martin Styner",
year = "2009",
doi = "10.1109/ISBI.2009.5193172",
language = "English (US)",
isbn = "9781424439324",
series = "Proceedings - 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2009",
publisher = "IEEE Computer Society",
pages = "807--810",
booktitle = "Proceedings - 2009 IEEE International Symposium on Biomedical Imaging",
note = "2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2009 ; Conference date: 28-06-2009 Through 01-07-2009",
}