Consistent Spatial-Temporal Longitudinal Atlas Construction for Developing Infant Brains

Yuyao Zhang, Feng Shi, Guorong Wu, Li Wang, Pew Thian Yap, Dinggang Shen

Research output: Contribution to journalArticlepeer-review

33 Citations (Scopus)


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.

Original languageEnglish
Article number7505972
Pages (from-to)2568-2577
Number of pages10
JournalIEEE Transactions on Medical Imaging
Issue number12
Publication statusPublished - 2016 Dec

Bibliographical note

Publisher Copyright:
© 2016 IEEE.


  • Brain
  • Frequency subbands
  • Image enhancement (noise and artifact reduction)
  • Infant
  • Longitudinal atlas
  • Magnetic resonance imaging (MRI)
  • Neonate
  • Sparse representation
  • Spatial-temporal consistency
  • Wavelet domain
  • atlases

ASJC Scopus subject areas

  • Software
  • Radiological and Ultrasound Technology
  • Computer Science Applications
  • Electrical and Electronic Engineering


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