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Consistent Spatial-Temporal Longitudinal Atlas Construction for Developing Infant Brains

Authors
Zhang, YuyaoShi, FengWu, GuorongWang, LiYap, Pew-ThianShen, Dinggang
Issue Date
Dec-2016
Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Keywords
Magnetic resonance imaging (MRI); Brain; atlases; Image enhancement (noise and artifact reduction); Infant; Neonate; Spatial-temporal consistency; Longitudinal atlas; Sparse representation; Wavelet domain; Frequency subbands
Citation
IEEE TRANSACTIONS ON MEDICAL IMAGING, v.35, no.12, pp.2568 - 2577
Indexed
SCIE
SCOPUS
Journal Title
IEEE TRANSACTIONS ON MEDICAL IMAGING
Volume
35
Number
12
Start Page
2568
End Page
2577
URI
https://scholar.korea.ac.kr/handle/2021.sw.korea/86641
DOI
10.1109/TMI.2016.2587628
ISSN
0278-0062
Abstract
Brain atlases are an essential component in understanding the dynamic cerebral development, especially for the early postnatal period. However, longitudinal atlases are rare for infants, and the existing ones are generally limited by their fuzzy appearance. Moreover, since longitudinal atlas construction is typically performed independently over time, the constructed atlases often fail to preserve temporal consistency. This problem is further aggravated for infant images since they typically have low spatial resolution and insufficient tissue contrast. In this paper, we propose a novel framework for consistent spatial-temporal construction of longitudinal atlases for developing infant brain MR images. Specifically, for preserving structural details, the atlas construction is performed in spatial-temporal wavelet domain simultaneously. This is achieved by a patch-based combination of results from each frequency subband. Compared with the existing infant longitudinal atlases, our experimental results indicate that our approach is able to produce longitudinal atlases with richer structural details and also better longitudinal consistency, thus leading to higher performance when used for spatial normalization of a group of infant brain images.
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