A computational method for longitudinal mapping of orientation-specific expansion of cortical surface area in infants

Jing Xia, Caiming Zhang, Fan Wang, Yu Meng, Zhengwang Wu, Li Wang, Weili Lin, Dinggang Shen, Gang Li

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

Abstract

The dynamic expansion of the human cortical surface during infancy is largely driven by the increase of surface area in two orthogonal directions: 1) the expansion parallel to the folding orientation (i.e., increasing the lengths of folds) and 2) the expansion perpendicular to the folding orientation (i.e., increasing the depths of folds). The knowledge on this would help us better understand the cortical growth mechanisms and provide important insights into neurodevelopmental disorders, but still remains scarce, due to the lack of dedicated computational methods. To address this issue, we propose a novel method for longitudinal mapping of orientation-specific expansion of cortical surface area in these two orthogonal directions during early infancy. We apply our method to30 healthy infants, and for the first time reveal the orientation-specific longitudinal cortical surface expansion maps during the first postnatal year.

Original languageEnglish
Title of host publication2018 IEEE 15th International Symposium on Biomedical Imaging, ISBI 2018
PublisherIEEE Computer Society
Pages683-686
Number of pages4
Volume2018-April
ISBN (Electronic)9781538636367
DOIs
Publication statusPublished - 2018 May 23
Externally publishedYes
Event15th IEEE International Symposium on Biomedical Imaging, ISBI 2018 - Washington, United States
Duration: 2018 Apr 42018 Apr 7

Other

Other15th IEEE International Symposium on Biomedical Imaging, ISBI 2018
CountryUnited States
CityWashington
Period18/4/418/4/7

Fingerprint

Computational methods
Growth
Direction compound

Keywords

  • Cortical folding
  • Graph cuts
  • Longitudinal development
  • Orientation fields
  • Surface expansion

ASJC Scopus subject areas

  • Biomedical Engineering
  • Radiology Nuclear Medicine and imaging

Cite this

Xia, J., Zhang, C., Wang, F., Meng, Y., Wu, Z., Wang, L., ... Li, G. (2018). A computational method for longitudinal mapping of orientation-specific expansion of cortical surface area in infants. In 2018 IEEE 15th International Symposium on Biomedical Imaging, ISBI 2018 (Vol. 2018-April, pp. 683-686). IEEE Computer Society. https://doi.org/10.1109/ISBI.2018.8363666

A computational method for longitudinal mapping of orientation-specific expansion of cortical surface area in infants. / Xia, Jing; Zhang, Caiming; Wang, Fan; Meng, Yu; Wu, Zhengwang; Wang, Li; Lin, Weili; Shen, Dinggang; Li, Gang.

2018 IEEE 15th International Symposium on Biomedical Imaging, ISBI 2018. Vol. 2018-April IEEE Computer Society, 2018. p. 683-686.

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

Xia, J, Zhang, C, Wang, F, Meng, Y, Wu, Z, Wang, L, Lin, W, Shen, D & Li, G 2018, A computational method for longitudinal mapping of orientation-specific expansion of cortical surface area in infants. in 2018 IEEE 15th International Symposium on Biomedical Imaging, ISBI 2018. vol. 2018-April, IEEE Computer Society, pp. 683-686, 15th IEEE International Symposium on Biomedical Imaging, ISBI 2018, Washington, United States, 18/4/4. https://doi.org/10.1109/ISBI.2018.8363666
Xia J, Zhang C, Wang F, Meng Y, Wu Z, Wang L et al. A computational method for longitudinal mapping of orientation-specific expansion of cortical surface area in infants. In 2018 IEEE 15th International Symposium on Biomedical Imaging, ISBI 2018. Vol. 2018-April. IEEE Computer Society. 2018. p. 683-686 https://doi.org/10.1109/ISBI.2018.8363666
Xia, Jing ; Zhang, Caiming ; Wang, Fan ; Meng, Yu ; Wu, Zhengwang ; Wang, Li ; Lin, Weili ; Shen, Dinggang ; Li, Gang. / A computational method for longitudinal mapping of orientation-specific expansion of cortical surface area in infants. 2018 IEEE 15th International Symposium on Biomedical Imaging, ISBI 2018. Vol. 2018-April IEEE Computer Society, 2018. pp. 683-686
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