Attribute vector guided groupwise registration.

Qian Wang, Pew Thian Yap, Guorong Wu, Dinggang Shen

Research output: Chapter in Book/Report/Conference proceedingChapter

2 Citations (Scopus)

Abstract

Groupwise registration has been recently introduced for simultaneous registration of a group of images with the goal of constructing an unbiased atlas. To this end, direct application of information-theoretic entropy measures on image intensity has achieved various successes. However, simplistic voxelwise utilization of image intensity often neglects important contextual information, which can be provided by more comprehensive geometric and statistical features. In this paper, we employ attribute vectors, instead of image intensities, to guide groupwise registration. In particular, for each voxel, the attribute vector is computed from its multiple-scale neighborhoods to capture geometric information at different scales. Moreover, the probability density function (PDF) of each attribute in the vector is then estimated from the local neighborhood, providing a statistical summary of the underlying anatomical structure. For the purpose of registration, Jensen-Shannon (JS) divergence is used to measure the PDF dissimilarity of each attribute at corresponding locations of different individual images. By minimizing the overall JS divergence in the whole image space and estimating the deformation field of each image simultaneously, we can eventually register all images and build an unbiased atlas. Experimental results indicate that our method yields better registration quality, compared with a popular groupwise registration method.

Original languageEnglish
Title of host publicationMedical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention
Pages656-663
Number of pages8
Volume12
EditionPt 1
Publication statusPublished - 2009 Dec 1

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ASJC Scopus subject areas

  • Medicine(all)

Cite this

Wang, Q., Yap, P. T., Wu, G., & Shen, D. (2009). Attribute vector guided groupwise registration. In Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention (Pt 1 ed., Vol. 12, pp. 656-663)

Attribute vector guided groupwise registration. / Wang, Qian; Yap, Pew Thian; Wu, Guorong; Shen, Dinggang.

Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention. Vol. 12 Pt 1. ed. 2009. p. 656-663.

Research output: Chapter in Book/Report/Conference proceedingChapter

Wang, Q, Yap, PT, Wu, G & Shen, D 2009, Attribute vector guided groupwise registration. in Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention. Pt 1 edn, vol. 12, pp. 656-663.
Wang Q, Yap PT, Wu G, Shen D. Attribute vector guided groupwise registration. In Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention. Pt 1 ed. Vol. 12. 2009. p. 656-663
Wang, Qian ; Yap, Pew Thian ; Wu, Guorong ; Shen, Dinggang. / Attribute vector guided groupwise registration. Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention. Vol. 12 Pt 1. ed. 2009. pp. 656-663
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