Fetal cortical parcellation based on growth patterns

Jing Xia, Caiming Zhang, Fan Wang, Oualid M. Benkarim, Gerard Sanroma, Gemma Piella, Miguel A.Gonzalez Balleste, Nadine Hahner, Elisenda Eixarch, Dinggang Shen, Gang Li

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

2 Citations (Scopus)

Abstract

Dividing the human cerebral cortex into structurally and functionally distinct regions is important in many neuroimaging studies. Although many parcellations have been created for adults, they are not applicable for fetal studies, due to dramatic differences in brain size, shape and folding between adults and fetuses, as well as dynamic growth of fetal brains. To address this issue, we propose a novel method to divide a population of fetal cortical surfaces into distinct regions based on the dynamic growth patterns of cortical properties, which indicate the underlying changes of microstructures. As microstructures determine the molecular organization and functional principles of the cortex, growth patterns enable an accurate definition of distinct regions in development, microstructure, and function. To comprehensively capture the similarities of cortical growth patterns among vertices, we construct two complementary similarity matrices. One is directly based on the growth trajectories of vertices and the other is based on the correlation profiles of vertices' growth trajectories in relation to those of reference points. Then, we nonlinearly fuse these two similarity matrices into a single one, which can better captures both their common and complementary information than by simply averaging them. Finally, based on this fused matrix, we perform spectral clustering to divide fetal cortical surfaces into distinct regions. We have applied our method on 25 normal fetuses from 26 to 29 gestational weeks and generated biologically meaningful parcellations.

Original languageEnglish
Title of host publication2018 IEEE 15th International Symposium on Biomedical Imaging, ISBI 2018
PublisherIEEE Computer Society
Pages696-699
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

Keywords

  • Cortical parcellation
  • Fetal
  • Growth patterns

ASJC Scopus subject areas

  • Biomedical Engineering
  • Radiology Nuclear Medicine and imaging

Fingerprint Dive into the research topics of 'Fetal cortical parcellation based on growth patterns'. Together they form a unique fingerprint.

  • Cite this

    Xia, J., Zhang, C., Wang, F., Benkarim, O. M., Sanroma, G., Piella, G., Balleste, M. A. G., Hahner, N., Eixarch, E., Shen, D., & Li, G. (2018). Fetal cortical parcellation based on growth patterns. In 2018 IEEE 15th International Symposium on Biomedical Imaging, ISBI 2018 (Vol. 2018-April, pp. 696-699). IEEE Computer Society. https://doi.org/10.1109/ISBI.2018.8363669