Cortical foldingprints for infant identification

Dingna Duan, Shunren Xia, Zhengwang Wu, Fan Wang, Li Wang, Weili Lin, John H. Gilmore, Dinggang Shen, Gang Li

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Cortical folding of the adult brain is highly convoluted and encodes inter-subject variable characteristics. Recent studies suggest that it is useful for individual identification in adults. However, little is known about whether the infant cortical folding, which undergoes dynamic postnatal development, can be used for individual identification. To fill this gap, we propose to explore cortical folding patterns for infant subject identification. This study thus aims to address two important questions in neuroscience: 1) whether the infant cortical folding is unique for individual identification; and 2) considering the region-specific inter-subject variability, which cortical regions are more distinct and reliable for infant identification. To this end, we propose a novel discriminative descriptor of regional cortical folding based on multi-scale analysis of curvature maps via spherical wavelets, called FoldingPrint. Experiments are carried out on a large longitudinal dataset with 1,141 MRI scans from 472 infants. Despite the dramatic development in the first two years, successful identification of 1-year-olds and 2-year-olds using their neonatal cortical folding (with accuracy >98%) indicates the effectiveness of the proposed method. Moreover, we reveal that regions with high identification accuracy and large inter-subject variability mainly distribute in high-order association cortices.

Original languageEnglish
Title of host publicationISBI 2019 - 2019 IEEE International Symposium on Biomedical Imaging
PublisherIEEE Computer Society
Pages396-399
Number of pages4
ISBN (Electronic)9781538636411
DOIs
Publication statusPublished - 2019 Apr
Externally publishedYes
Event16th IEEE International Symposium on Biomedical Imaging, ISBI 2019 - Venice, Italy
Duration: 2019 Apr 82019 Apr 11

Publication series

NameProceedings - International Symposium on Biomedical Imaging
Volume2019-April
ISSN (Print)1945-7928
ISSN (Electronic)1945-8452

Conference

Conference16th IEEE International Symposium on Biomedical Imaging, ISBI 2019
CountryItaly
CityVenice
Period19/4/819/4/11

Keywords

  • Cortical folding
  • Individual identification
  • Infant
  • Multi-scale curvatures

ASJC Scopus subject areas

  • Biomedical Engineering
  • Radiology Nuclear Medicine and imaging

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  • Cite this

    Duan, D., Xia, S., Wu, Z., Wang, F., Wang, L., Lin, W., Gilmore, J. H., Shen, D., & Li, G. (2019). Cortical foldingprints for infant identification. In ISBI 2019 - 2019 IEEE International Symposium on Biomedical Imaging (pp. 396-399). [8759429] (Proceedings - International Symposium on Biomedical Imaging; Vol. 2019-April). IEEE Computer Society. https://doi.org/10.1109/ISBI.2019.8759429