Welcome to Journal of Beijing Institute of Technology
Advance Search
Volume 27Issue 4
.
Turn off MathJax
Article Contents
Article Navigation> JOURNAL OF BEIJING INSTITUTE OF TECHNOLOGY> 2018> 27(4): 604-616
Tao Guo, Quan Wang, Yi Wang, Kun Xie. High-Dimensional Spatial Standardization Algorithm for Diffusion Tensor Image Registration[J]. JOURNAL OF BEIJING INSTITUTE OF TECHNOLOGY, 2018, 27(4): 604-616. doi: 10.15918/j.jbit1004-0579.18033
Citation: Tao Guo, Quan Wang, Yi Wang, Kun Xie. High-Dimensional Spatial Standardization Algorithm for Diffusion Tensor Image Registration[J].JOURNAL OF BEIJING INSTITUTE OF TECHNOLOGY, 2018, 27(4): 604-616.doi:10.15918/j.jbit1004-0579.18033
shu

High-Dimensional Spatial Standardization Algorithm for Diffusion Tensor Image Registration

doi:10.15918/j.jbit1004-0579.18033
  • 1.

    School of Computer and Science, Xidian University, Xi'an 710071, China

  • 2.

    School of Electronics and Information, Northwestern Polytechnical University, Xi'an 710072, China

  • Received Date:2018-05-03
    Abstract
  • Three high dimensional spatial standardization algorithms are used for diffusion tensor image (DTI) registration, and seven kinds of methods are used to evaluate their performances. Firstly, the template used in this paper was obtained by spatial transformation of 16 subjects by means of tensor-based standardization. Then, high dimensional standardization algorithms for diffusion tensor images, including fractional anisotropy (FA) based diffeomorphic registration algorithm, FA based elastic registration algorithm and tensor-based registration algorithm, were performed. Finally, 7 kinds of evaluation methods, including normalized standard deviation, dyadic coherence, diffusion cross-correlation, overlap of eigenvalue-eigenvector pairs, Euclidean distance of diffusion tensor, and Euclidean distance of the deviatoric tensor and deviatoric of tensors, were used to qualitatively compare and summarize the above standardization algorithms. Experimental results revealed that the high-dimensional tensor-based standardization algorithms perform well and can maintain the consistency of anatomical structures.
    • FullText(HTML)
  • loading
    • References (30)
  • [1]
    Basser P J, Pierpaoli C. Microstructural and physiological features of tissues elucidated by quantitative-diffusion-tensor MRI[J]. Journal of Magnetic Resonance-Series B, 1996, 11(3):209-219.
    [2]
    Zhang H, Avants B B. High-dimensional spatial normalization of diffusion tensor images improves the detection of white matter differences:an example study using amyotrophic lateral sclerosis[J]. IEEE Transactions on Medical Imaging, 2007, 26(11):1585-1597.
    [3]
    Besseling R M, Jansen J F, Overvliet G M,et al. Tract specific reproducibility of tractography based morphology and diffusion metrics[J]. Plos One,2012,7(4):34125.
    [4]
    Adluru N, Zhang H, Tromp D P M, et al. Effects of DTI spatial normalization on white matter tract reconstructions[C]//SPIE Progress in Biomedical Optics and Medical Imaging, 2013,8669:86690A1-86690A15.
    [5]
    Keihaninejad S, Zhang H, Ryan N S,et al. An unbiased longitudinal analysis framework for tracking white matter changes using diffusion tensor imaging with application to Alzheimer's disease[J]. NeuroImage,2013, 72:153-163.
    [6]
    Wang Y, Gupta A, Liu Z X, et al. DTI registration in atlas based fiber analysis of infantile Krabbe disease[J]. Neuro Image, 2011, 55:1577-1586.
    [7]
    Rovaris M, Gass A, Bammer R, et al. Diffusion MRI in multiple sclerosis[J]. Neurology,2005, 65:1526-1532.
    [8]
    Alexander D C, Pierpaoli C, Basser P J,et al. Spatial transformations of diffusion tensor magnetic resonance images[J]. IEEE Transactions on Medical Imaging,2001, 20(11):1131-1139.
    [9]
    Yu Q, Wang Y. Research progress on image registration of diffusion tensor image[C]//The 2nd united academic conference on image and graphic(UCIG),Xi'an,China,2013.
    [10]
    Buchsbaum M S, Friedman J, Buchsbaum B R,et al. Diffusion tensor imaging in schizophrenia[J]. Biological Psychiatry, 2006, 60(11):1181-1187.
    [11]
    Smith S M, Jenkinson M, Berg H J,et al. Tract-based spatial statistics:Voxelwise analysis of multi-subject diffusion data[J]. Neuroimage, 2006, 31(4):1487-1505.
    [12]
    Park H J, Westin C F, Kubicki M, et al. White matter hemisphere asymmetries in healthy subjects and in schizophrenia:A diffusion tensor MRI study[J]. Neuroimage, 2004, 23(1):213-223.
    [13]
    Adluru N, Zhang H, Fox A S, et al. A diffusion tensor brain template for rhesus macaques.[J]. Neuroimage, 2012, 59(1):306-318.
    [14]
    Brown L G. A survey of image registration techniques[J]. ACM Computing Surveys, 1992,24(4):325-376.
    [15]
    Ibanez L, Ng L, Gee J, et al. Registration patterns:The generic framework for image registration of the Insight Toolkit[J]. IEEE International Symposium on Biomedical Imaging, 2002,31(7):345-348.
    [16]
    Rorden C, Bonilha L, Fridriksson J, et al. Age-specific CT and MRI templates for spatial normalization[J]. NeuroImage, 2012, 61(4):957-965.
    [17]
    Khorshidia G S, Smitha S M, Keltnera J R,et al. Meta-analysis of neuroimaging data:a comparison of image-based and coordinatebased pooling of studies[J]. NeuroImage, 2009,45(3):810-823.
    [18]
    Zhang H, Awate S P, Das S D,et al. A tract-specific framework for white matter morphometry combining macroscopic and microscopic tract features[J]. Medical Image Analysis, 2010,14(5):666-673.
    [19]
    Alexander D C, Pierpaoli C, Basser P J,et al. Spatial transformations of diffusion tensor magnetic resonance images[J]. IEEE Transaction on Medical Imaging,2001, 20(11):1131-1139.
    [20]
    Klein A, Andersson J, Ardekani B A,et al. Evaluation of 14 nonlinear deformation algorithms applied to human brain MRI registration[J]. Neuroimage, 2009, 46(3):786-802.
    [21]
    Zhang H, Yushkevich P A, Alexander D C, et al. Deformable registration of diffusion tensor MR images with explicit orientation optimization[J]. Medical Image Analysis, 2006, 10(5):764-785.
    [22]
    Zhang H, Yushkevich P A, Rueckert D, et al. Unbiased white matter atlas construction using diffusion tensor images[C]//Medical Image Computing and Computer-Assisted Intervention-MICCAI 2007. Heidelberg:Springer Berlin, 2007:211-218.
    [23]
    Schleicher A, Morosan P, Amunts K, et al. Quantitative architectural analysis:A new approach to cortical mapping[J]. Journal of Autism and Developmental Disorders, 2009,39(11):1568-1581.
    [24]
    Avants B B, Tustison N J, Song G, et al. ANTS:Open-source tools for normalization and neuroanatomy[R].Philadelphia, USA:Penn Image Computing and Science Laboratory(PICSL),2009.
    [25]
    Avants B B, Epstein C L, Grossman M,et al. Symmetric diffeomorphic image registration with cross-correlation:evaluating automated labeling of elderly and neurodegenerative brain[J]. Medical Image Analysis, 2008, 12(1):26-41.
    [26]
    Avants B B, Tustison N, Song G. Advanced normalization tools (ANTS)[J]. Insight J, 2009,2:1-35.
    [27]
    Zhang S, Peng H, Dawe R J, et al. Enhanced ICBM diffusion tensor template of the human brain[J]. Neuroimage, 2011, 54(2):974-984.
    [28]
    Zhang S, Peng H, Dawe R J, et al. Enhanced ICBM diffusion tensor template of the human brain[J]. Neuroimage, 2011, 54(2):974-984.
    [29]
    Rorden C, Bonilha L, Fridriksson J, et al. Age-specific CT and MRI templates for spatial normalization[J]. Neuroimage, 2012, 61(4):957-965.
    [30]
    Smith S M, Jenkinson M, Woolrich M W, et al. Advances in functional and structural MR image analysis and implementation as FSL[J]. Neuroimage,2004, 23:S208-S219.
    • Relative Articles
  • Supplements (0)
  • Cited By
  • 加载中

Catalog

    通讯作者:陈斌, bchen63@163.com
    • 1.

      沈阳化工大学材料科学与工程学院 沈阳 110142

    1. 本站搜索
    2. 百度学术搜索
    3. 万方数据库搜索
    4. CNKI搜索
    Get Citation
    PDF
    XML

    Article Metrics

    Article views (391) PDF downloads(1420) Cited by()
    Proportional views
    Related

    Address:5 Zhongguancun South Street, Haidian District, Beijing

    Tel:86-10-68914374

    Email:blgywb@bit.edu.cn

    Copy Right © Journal of Beijing Institute of Technology

    Supported by:Beijing Renhe Information Technology Co. Ltd

    /

      Return
      Return
        Baidu
        map