Learning best features for deformable registration of MR brains.

Guorong Wu, Feihu Qi, Dinggang Shen

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

This paper presents a learning method to select best geometric features for deformable brain registration. Best geometric features are selected for each brain location, and used to reduce the ambiguity in image matching during the deformable registration. Best geometric features are obtained by solving an energy minimization problem that requires the features of corresponding points in the training samples to be similar, and the features of a point to be different from those of nearby points. By incorporating those learned best features into the framework of HAMMER registration algorithm, we achieved about 10% improvement of accuracy in estimating the simulated deformation fields, compared to that obtained by HAMMER. Also, on real MR brain images, we found visible improvement of registration in cortical regions.

Original languageEnglish
Title of host publicationMedical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention
Pages179-187
Number of pages9
Volume8
EditionPt 2
Publication statusPublished - 2005 Dec 1
Externally publishedYes

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Wu, G., Qi, F., & Shen, D. (2005). Learning best features for deformable registration of MR brains. In Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention (Pt 2 ed., Vol. 8, pp. 179-187)

Learning best features for deformable registration of MR brains. / Wu, Guorong; Qi, Feihu; Shen, Dinggang.

Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention. Vol. 8 Pt 2. ed. 2005. p. 179-187.

Research output: Chapter in Book/Report/Conference proceedingChapter

Wu, G, Qi, F & Shen, D 2005, Learning best features for deformable registration of MR brains. in Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention. Pt 2 edn, vol. 8, pp. 179-187.
Wu G, Qi F, Shen D. Learning best features for deformable registration of MR brains. In Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention. Pt 2 ed. Vol. 8. 2005. p. 179-187
Wu, Guorong ; Qi, Feihu ; Shen, Dinggang. / Learning best features for deformable registration of MR brains. Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention. Vol. 8 Pt 2. ed. 2005. pp. 179-187
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