Deep Adaptive Log-Demons: Diffeomorphic Image Registration with Very Large Deformations
Joint Authors
Source
Computational and Mathematical Methods in Medicine
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-16, 16 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-05-18
Country of Publication
Egypt
No. of Pages
16
Main Subjects
Abstract EN
This paper proposes a new framework for capturing large and complex deformation in image registration.
Traditionally, this challenging problem relies firstly on a preregistration, usually an affine matrix containing rotation, scale, and translation and afterwards on a nonrigid transformation.
According to preregistration, the directly calculated affine matrix, which is obtained by limited pixel information, may misregistrate when large biases exist, thus misleading following registration subversively.
To address this problem, for two-dimensional (2D) images, the two-layer deep adaptive registration framework proposed in this paper firstly accurately classifies the rotation parameter through multilayer convolutional neural networks (CNNs) and then identifies scale and translation parameters separately.
For three-dimensional (3D) images, affine matrix is located through feature correspondences by a triplanar 2D CNNs.
Then deformation removal is done iteratively through preregistration and demons registration.
By comparison with the state-of-the-art registration framework, our method gains more accurate registration results on both synthetic and real datasets.
Besides, principal component analysis (PCA) is combined with correlation like Pearson and Spearman to form new similarity standards in 2D and 3D registration.
Experiment results also show faster convergence speed.
American Psychological Association (APA)
Zhao, Liya& Jia, Kebin. 2015. Deep Adaptive Log-Demons: Diffeomorphic Image Registration with Very Large Deformations. Computational and Mathematical Methods in Medicine،Vol. 2015, no. 2015, pp.1-16.
https://search.emarefa.net/detail/BIM-1058014
Modern Language Association (MLA)
Zhao, Liya& Jia, Kebin. Deep Adaptive Log-Demons: Diffeomorphic Image Registration with Very Large Deformations. Computational and Mathematical Methods in Medicine No. 2015 (2015), pp.1-16.
https://search.emarefa.net/detail/BIM-1058014
American Medical Association (AMA)
Zhao, Liya& Jia, Kebin. Deep Adaptive Log-Demons: Diffeomorphic Image Registration with Very Large Deformations. Computational and Mathematical Methods in Medicine. 2015. Vol. 2015, no. 2015, pp.1-16.
https://search.emarefa.net/detail/BIM-1058014
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1058014