Longitudinal multi-scale mapping of infant cortical folding using spherical wavelets

Dingna Duan, Islem Rekik, Shunren Xia, Weili Lin, John H. Gilmore, Dinggang Shen, Gang Li

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

1 Citation (Scopus)

Abstract

The dynamic development of brain cognition and motor functions during infancy are highly associated with the rapid changes of the convoluted cortical folding. However, little is known about how the cortical folding, which can be characterized on different scales, develops in the first two postnatal years. In this paper, we propose a curvature-based multi-scale method using spherical wavelets to map the complicated longitudinal changes of cortical folding during infancy. Specifically, we first decompose the cortical curvature map, which encodes the cortical folding information, into multiple spatial-frequency scales, and then measure the scale-specific wavelet power at 6 different scales as quantitative indices of cortical folding degree. We apply this method on 219 longitudinal MR images from 73 healthy infants at 0, 1, and 2 years of age. We reveal that the changing patterns of cortical folding are both scale-specific and region-specific. Particularly, at coarser spatial-frequency levels, the majority of the primary folds flatten out, while at finer spatial-frequency levels, the majority of the minor folds become more convoluted. This study provides valuable insights into the longitudinal changes of infant cortical folding.

Original languageEnglish
Title of host publication2017 IEEE 14th International Symposium on Biomedical Imaging, ISBI 2017
PublisherIEEE Computer Society
Pages93-96
Number of pages4
ISBN (Electronic)9781509011711
DOIs
Publication statusPublished - 2017 Jun 15
Externally publishedYes
Event14th IEEE International Symposium on Biomedical Imaging, ISBI 2017 - Melbourne, Australia
Duration: 2017 Apr 182017 Apr 21

Other

Other14th IEEE International Symposium on Biomedical Imaging, ISBI 2017
CountryAustralia
CityMelbourne
Period17/4/1817/4/21

Fingerprint

Cognition
Brain
Power (Psychology)

Keywords

  • Cortical folding
  • Curvature
  • Infant
  • Longitudinal development
  • Spherical wavelets

ASJC Scopus subject areas

  • Biomedical Engineering
  • Radiology Nuclear Medicine and imaging

Cite this

Duan, D., Rekik, I., Xia, S., Lin, W., Gilmore, J. H., Shen, D., & Li, G. (2017). Longitudinal multi-scale mapping of infant cortical folding using spherical wavelets. In 2017 IEEE 14th International Symposium on Biomedical Imaging, ISBI 2017 (pp. 93-96). [7950476] IEEE Computer Society. https://doi.org/10.1109/ISBI.2017.7950476

Longitudinal multi-scale mapping of infant cortical folding using spherical wavelets. / Duan, Dingna; Rekik, Islem; Xia, Shunren; Lin, Weili; Gilmore, John H.; Shen, Dinggang; Li, Gang.

2017 IEEE 14th International Symposium on Biomedical Imaging, ISBI 2017. IEEE Computer Society, 2017. p. 93-96 7950476.

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

Duan, D, Rekik, I, Xia, S, Lin, W, Gilmore, JH, Shen, D & Li, G 2017, Longitudinal multi-scale mapping of infant cortical folding using spherical wavelets. in 2017 IEEE 14th International Symposium on Biomedical Imaging, ISBI 2017., 7950476, IEEE Computer Society, pp. 93-96, 14th IEEE International Symposium on Biomedical Imaging, ISBI 2017, Melbourne, Australia, 17/4/18. https://doi.org/10.1109/ISBI.2017.7950476
Duan D, Rekik I, Xia S, Lin W, Gilmore JH, Shen D et al. Longitudinal multi-scale mapping of infant cortical folding using spherical wavelets. In 2017 IEEE 14th International Symposium on Biomedical Imaging, ISBI 2017. IEEE Computer Society. 2017. p. 93-96. 7950476 https://doi.org/10.1109/ISBI.2017.7950476
Duan, Dingna ; Rekik, Islem ; Xia, Shunren ; Lin, Weili ; Gilmore, John H. ; Shen, Dinggang ; Li, Gang. / Longitudinal multi-scale mapping of infant cortical folding using spherical wavelets. 2017 IEEE 14th International Symposium on Biomedical Imaging, ISBI 2017. IEEE Computer Society, 2017. pp. 93-96
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