Literature DB >> 20436782

Groupwise Registration and Atlas Construction of 4th-Order Tensor Fields Using the ℝ Riemannian Metric.

Angelos Barmpoutis, Baba C Vemuri.   

Abstract

Registration of Diffusion-Weighted MR Images (DW-MRI) can be achieved by registering the corresponding 2nd-order Diffusion Tensor Images (DTI). However, it has been shown that higher-order diffusion tensors (e.g. order-4) outperform the traditional DTI in approximating complex fiber structures such as fiber crossings. In this paper we present a novel method for unbiased group-wise non-rigid registration and atlas construction of 4th-order diffusion tensor fields. To the best of our knowledge there is no other existing method to achieve this task. First we define a metric on the space of positive-valued functions based on the Riemannian metric of real positive numbers (denoted by ℝ(+)). Then, we use this metric in a novel functional minimization method for non-rigid 4th-order tensor field registration. We define a cost function that accounts for the 4th-order tensor re-orientation during the registration process and has analytic derivatives with respect to the transformation parameters. Finally, the tensor field atlas is computed as the minimizer of the variance defined using the Riemannian metric. We quantitatively compare the proposed method with other techniques that register scalar-valued or diffusion tensor (rank-2) representations of the DWMRI.

Entities:  

Year:  2009        PMID: 20436782      PMCID: PMC2861508          DOI: 10.1007/978-3-642-04268-3_79

Source DB:  PubMed          Journal:  Med Image Comput Comput Assist Interv


  13 in total

1.  Spatial transformations of diffusion tensor magnetic resonance images.

Authors:  D C Alexander; C Pierpaoli; P J Basser; J C Gee
Journal:  IEEE Trans Med Imaging       Date:  2001-11       Impact factor: 10.048

2.  Nonrigid registration of 3D tensor medical data.

Authors:  J Ruiz-Alzola; C-F Westin; S K Warfield; C Alberola; S Maier; R Kikinis
Journal:  Med Image Anal       Date:  2002-06       Impact factor: 8.545

3.  Generalized diffusion tensor imaging and analytical relationships between diffusion tensor imaging and high angular resolution diffusion imaging.

Authors:  Evren Ozarslan; Thomas H Mareci
Journal:  Magn Reson Med       Date:  2003-11       Impact factor: 4.668

4.  Diffeomorphic Matching of Diffusion Tensor Images.

Authors:  Yan Cao; Michael I Miller; Susumu Mori; Raimond L Winslow; Laurent Younes
Journal:  Proc IEEE Comput Soc Conf Comput Vis Pattern Recognit       Date:  2006-07-05

5.  Least biased target selection in probabilistic atlas construction.

Authors:  Hyunjin Park; Peyton H Bland; Alfred O Hero; Charles R Meyer
Journal:  Med Image Comput Comput Assist Interv       Date:  2005

6.  Effects of registration regularization and atlas sharpness on segmentation accuracy.

Authors:  B T Thomas Yeo; Mert R Sabuncu; Rahul Desikan; Bruce Fischl; Polina Golland
Journal:  Med Image Anal       Date:  2008-06-19       Impact factor: 8.545

7.  Automatic deformable diffusion tensor registration for fiber population analysis.

Authors:  M O Irfanoglu; R Machiraju; S Sammet; C Pierpaoli; M V Knopp
Journal:  Med Image Comput Comput Assist Interv       Date:  2008

8.  Diffusional kurtosis imaging: the quantification of non-gaussian water diffusion by means of magnetic resonance imaging.

Authors:  Jens H Jensen; Joseph A Helpern; Anita Ramani; Hanzhang Lu; Kyle Kaczynski
Journal:  Magn Reson Med       Date:  2005-06       Impact factor: 4.668

9.  Unbiased diffeomorphic atlas construction for computational anatomy.

Authors:  S Joshi; Brad Davis; Matthieu Jomier; Guido Gerig
Journal:  Neuroimage       Date:  2004       Impact factor: 6.556

10.  Adaptive kernels for multi-fiber reconstruction.

Authors:  Angelos Barmpoutis; Bing Jian; Baba C Vemuri
Journal:  Inf Process Med Imaging       Date:  2009
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  1 in total

1.  Joint segmentation and groupwise registration of cardiac perfusion images using temporal information.

Authors:  Dwarikanath Mahapatra
Journal:  J Digit Imaging       Date:  2013-04       Impact factor: 4.056

  1 in total

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