Surface-constrained volumetric registration for the early developing brain

S. Ahmad, Zhengwang Wu, Gang Li, Li Wang, W. Lin, Pew Thian Yap, Dinggang Shen

Research output: Contribution to journalArticlepeer-review

2 Citations (Scopus)

Abstract

The T1-weighted and T2-weighted MRI contrasts of the infant brain evolve drastically during the first year of life. This poses significant challenges to inter- and intra-subject registration, which is key to subsequent statistical analyses. Existing registration methods that do not consider temporal contrast changes are ineffective for infant brain MRI data. To address this problem, we present in this paper a method for deformable registration of infant brain MRI. The key advantage of our method is threefold: (i) To deal with appearance changes, registration is performed based on segmented tissue maps instead of image intensity. Segmentation is performed by using an infant-centric algorithm previously developed by our group. (ii) Registration is carried out with respect to both cortical surfaces and volumetric tissue maps, thus allowing precise alignment of both cortical and subcortical structures. (iii) A dynamic elasticity model is utilized to allow large non-linear deformation. Experimental results in comparison with well-established registration methods indicate that our method yields superior accuracy in both cortical and subcortical alignment.

Original languageEnglish
Article number101540
JournalMedical Image Analysis
Volume58
DOIs
Publication statusPublished - 2019 Dec

Keywords

  • Infant magnetic resonance imaging
  • Joint cortical surface and volumetric registration

ASJC Scopus subject areas

  • Radiological and Ultrasound Technology
  • Radiology Nuclear Medicine and imaging
  • Computer Vision and Pattern Recognition
  • Health Informatics
  • Computer Graphics and Computer-Aided Design

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