title: Evaluations of diffusion tensor image registration based on fiber tractography.
abstract: BACKGROUND
  Diffusion Tensor Magnetic Resonance Imaging (DT-MRI, also known as DTI) measures the diffusion properties of water molecules in tissues and to date is one of the main techniques that can effectively study the microstructures of the brain in vivo. Presently, evaluation of DTI registration techniques is still in an initial stage of development.
  
  
  RESULTS
  In this paper, six well-known open source DTI registration algorithms: Elastic, Rigid, Affine, DTI-TK, FSL and SyN were applied on 11 subjects from an open-access dataset, among which one was randomly chosen as the template. Eight different fiber bundles of 10 subjects and the template were obtained by drawing regions of interest (ROIs) around various structures using deterministic streamline tractography. The performances of the registration algorithms were evaluated by computing the distances and intersection angles between fiber tracts, as well as the fractional anisotropy (FA) profiles along the fiber tracts. Also, the mean squared error (MSE) and the residual MSE (RMSE) of fibers originating from the registered subjects and the template were calculated to assess the registration algorithm. Twenty-seven different fiber bundles of the 10 subjects and template were obtained by drawing ROIs around various structures using probabilistic tractography. The performances of registration algorithms on this second tractography method were evaluated by computing the spatial correlation similarity of the fibers between subjects as well as between each subject and the template.
  
  
  CONCLUSIONS
  All experimental results indicated that DTI-TK performed the best under the study conditions, and SyN ranked just behind it.
authors.affiliation: School of Electronics and Information, Northwestern Polytechnical University, Xi'an, 710072, China.
authors.forename: Yi
authors.initials: Y
authors.lastname: Wang
authors.affiliation: School of Electronics and Information, Northwestern Polytechnical University, Xi'an, 710072, China.
authors.forename: Yu
authors.initials: Y
authors.lastname: Shen
authors.affiliation: School of Electronics and Information, Northwestern Polytechnical University, Xi'an, 710072, China.
authors.forename: Dongyang
authors.initials: D
authors.lastname: Liu
authors.affiliation: School of Electronics and Information, Northwestern Polytechnical University, Xi'an, 710072, China.
authors.forename: Guoqin
authors.initials: G
authors.lastname: Li
authors.affiliation: School of Electronics and Information, Northwestern Polytechnical University, Xi'an, 710072, China.
authors.forename: Zhe
authors.initials: Z
authors.lastname: Guo
authors.affiliation: School of Electronics and Information, Northwestern Polytechnical University, Xi'an, 710072, China.
authors.forename: Yangyu
authors.initials: Y
authors.lastname: Fan
authors.affiliation: School of Marine Science and Technology, Northwestern Polytechnical University, Xi'an, 710072, China. yilong_niu@nwpu.edu.cn.
authors.forename: Yilong
authors.initials: Y
authors.lastname: Niu
mesh_terms: D000328:Adult; D000368:Aged; D000465:Algorithms; D056324:Diffusion Tensor Imaging; D005260:Female; D006801:Humans; D007091:Image Processing, Computer-Assisted / Q000379:methods*; D008297:Male; D008875:Middle Aged; D009412:Nerve Fibers
keywords: DTI; Evaluation; Registration algorithms; Tractography