Hierarchical unbiased group-wise registration for atlas construction and population comparison

Yasheng Chen; Dinggang Shen; Hongtu Zhu; Hongyu An; John Gilmore; Weili Lin

doi:10.1117/12.812039

27 March 2009 Hierarchical unbiased group-wise registration for atlas construction and population comparison

Yasheng Chen, Dinggang Shen, Hongtu Zhu, Hongyu An, John Gilmore, Weili Lin

Proceedings Volume 7259, Medical Imaging 2009: Image Processing; 72592V (2009) https://doi.org/10.1117/12.812039
Event: SPIE Medical Imaging, 2009, Lake Buena Vista (Orlando Area), Florida, United States

Abstract

A novel hierarchical unbiased group-wise registration is developed to robustly transform each individual image towards a common space for atlas based analysis. This hierarchical group-wise registration approach consists of two main components, (1) data clustering to group similar images together and (2) unbiased group-wise registration to generate a mean image for each cluster. The mean images generated in the lower hierarchical level are regarded as the input images for the higher hierarchy. In the higher hierarchical level, these input images will be further clustered and then registered by using the same two components mentioned. This hierarchical bottom-up clustering and within-cluster group-wise registration is repeated until a final mean image for the whole population is formed. This final mean image represents the common space for all the subjects to be warped to in order for the atlas based analysis. Each individual image at the bottom of the constructed hierarchy is transformed towards the root node through concatenating all the intermediate displacement fields. In order to evaluate the performance of the proposed hierarchical registration in atlas based statistical analysis, comparisons were made with the conventional group-wise registration in detecting simulated brain atrophy as well as fractional anisotropy differences between neonates and 1-year-olds. In both cases, the proposed approach demonstrated improved sensitivity (higher t-scores) than the conventional unbiased registration approach.

Citation Download Citation

Yasheng Chen, Dinggang Shen, Hongtu Zhu, Hongyu An, John Gilmore, and Weili Lin "Hierarchical unbiased group-wise registration for atlas construction and population comparison", Proc. SPIE 7259, Medical Imaging 2009: Image Processing, 72592V (27 March 2009); https://doi.org/10.1117/12.812039

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available