Detail-preserving construction of neonatal brain atlases in space-frequency domain

Yuyao Zhang, Feng Shi, Pew Thian Yap, Dinggang Shen

Research output: Contribution to journalArticlepeer-review

10 Citations (Scopus)

Abstract

Brain atlases are commonly utilized in neuroimaging studies. However, most brain atlases are fuzzy and lack structural details, especially in the cortical regions. This is mainly caused by the image averaging process involved in atlas construction, which often smoothes out high-frequency contents that capture fine anatomical details. Brain atlas construction for neonatal images is even more challenging due to insufficient spatial resolution and low tissue contrast. In this paper, we propose a novel framework for detail-preserving construction of population-representative atlases. Our approach combines spatial and frequency information to better preserve image details. This is achieved by performing atlas construction in the space-frequency domain given by wavelet transform. In particular, sparse patch-based atlas construction is performed in all frequency subbands, and the results are combined to give a final atlas. For enhancing anatomical details, tissue probability maps are also used to guide atlas construction. Experimental results show that our approach can produce atlases with greater structural details than existing atlases. Hum Brain Mapp 37:2133-2150, 2016.

Original languageEnglish
Pages (from-to)2133-2150
Number of pages18
JournalHuman Brain Mapping
Volume37
Issue number6
DOIs
Publication statusPublished - 2016 Jun 1

Keywords

  • Brain atlas
  • Frequency decomposition
  • Image registration
  • MRI template
  • Neonatal brain
  • Neonate
  • Pediatrics
  • Sparse representation
  • Wavelet transform

ASJC Scopus subject areas

  • Anatomy
  • Radiological and Ultrasound Technology
  • Radiology Nuclear Medicine and imaging
  • Neurology
  • Clinical Neurology

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