+ Site Statistics
References:
54,258,434
Abstracts:
29,560,870
PMIDs:
28,072,757
+ Search Articles
+ Subscribe to Site Feeds
Most Shared
PDF Full Text
+ PDF Full Text
Request PDF Full Text
+ Follow Us
Follow on Facebook
Follow on Twitter
Follow on LinkedIn
+ Translate
+ Recently Requested

A novel longitudinal atlas construction framework by groupwise registration of subject image sequences



A novel longitudinal atlas construction framework by groupwise registration of subject image sequences



Information Processing in Medical Imaging 22: 283-295



Longitudinal atlas construction is a challenging task in medical image analysis. Given a set of longitudinal images of different subjects, the task is how to construct the unbias longitudinal atlas sequence reflecting the anatomical changes over time. In this paper, a novel longitudinal atlas construction framework is proposed. The main contributions of the proposed method lie in the following aspects: (1) Subject-specific longitudinal information is captured by establishing a robust growth model for each subject. (2) The trajectory constraints are enforced for both subject image sequences and the atlas sequence, and only one transformation is needed for each subject to map its image sequence to the atlas sequence while preserving the temporal correspondence. (3) The longitudinal atlases are estimated by groupwise registration and kernel regression, thus no explicit template is used and the atlases are constructed without introducing bias due to the selection of the explicit template. (4) The proposed method is general, where the number of longitudinal images of each subject and the time points at which the images are taken can be different. The proposed method is evaluated on a longitudinal database and compared with a state-of-the-art longitudinal atlas construction method. Experimental results show that the proposed method achieves more consistent spatial-temporal correspondence as well as higher registration accuracy than the compared method.

(PDF emailed within 1 workday: $29.90)

Accession: 051196078

Download citation: RISBibTeXText

PMID: 21761664


Related references

A novel framework for longitudinal atlas construction with groupwise registration of subject image sequences. Neuroimage 59(2): 1275-1289, 2012

Groupwise combined segmentation and registration for atlas construction. Medical Image Computing and Computer-Assisted Intervention 10(Pt 1): 532-540, 2007

Groupwise registration based on hierarchical image clustering and atlas synthesis. Human Brain Mapping 31(8): 1128-1140, 2010

Groupwise Registration and Atlas Construction of 4th-Order Tensor Fields Using the ℝ Riemannian Metric. Medical Image Computing and Computer-Assisted Intervention 5761: 640-647, 2010

Groupwise registration and atlas construction of 4th-order tensor fields using the R+ Riemannian metric. Medical Image Computing and Computer-Assisted Intervention 12(Pt 1): 640-647, 2010

SharpMean: groupwise registration guided by sharp mean image and tree-based registration. Neuroimage 56(4): 1968-1981, 2011

Groupwise Registration From Exemplar To Group Mean: Extending Hammer To Groupwise Registration. Proceedings. IEEE International Symposium on Biomedical Imaging 2010(14-17 April 2010): 396-399, 2011

Construction and evaluation of an average CT brain image for inter-subject registration. Computers in Biology and Medicine 34(8): 647-662, 2004

PCA-based groupwise image registration for quantitative MRI. Medical Image Analysis 29: 65-78, 2016

Groupwise multi-channel image registration. IEEE Journal of Biomedical and Health Informatics, 2018

Groupwise geometric and photometric direct image registration. IEEE Transactions on Pattern Analysis and Machine Intelligence 30(12): 2098-2108, 2008

A Markov Random Field Groupwise Registration Framework for Face Recognition. IEEE Transactions on Pattern Analysis and Machine Intelligence 36(4): 657-669, 2016

Groupwise Image Registration Guided by a Dynamic Digraph of Images. Neuroinformatics 14(2): 131-145, 2015

Automatic construction of parts+geometry models for initializing groupwise registration. IEEE Transactions on Medical Imaging 31(2): 341-358, 2012

A Novel Framework for Groupwise Registration of fMRI Images based on Common Functional Networks. Proceedings. IEEE International Symposium on Biomedical Imaging 2017: 485-489, 2017