Predicting cortical 3-hinge locations via structural connective features

Xiao Li, Tuo Zhang, Qinglin Dong, Shu Zhang, Xintao Hu, Lei Du, Lei Guo, Tianming Liu

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Scopus citations

Abstract

Cortical folds encode crucial information of brain development, cytoarchitecture and function. It is widely accepted that common anatomy is preserved across individuals within species, while huge variation still hamper establishing fine-grained anatomical correspondences and predicting the locations of a specific anatomical pattern via conventional image registration methods, especially for complex cortical folding pattern, such as gyral 3-hinge. Recently, white matter axonal wiring patterns have been suggested to be strongly correlative to cortical folding patterns. Therefore, in this work, we studied the relation between complex 3-hinge folding patterns and structural connective patterns, and proposed effective methods to predict the locations of 3-hinges by using structural connective features and spatial distribution patterns. The prediction accuracy of our methods outperforms conventional image registration methods.

Original languageEnglish
Title of host publication2017 IEEE 14th International Symposium on Biomedical Imaging, ISBI 2017
PublisherIEEE Computer Society
Pages533-537
Number of pages5
ISBN (Electronic)9781509011711
DOIs
StatePublished - 15 Jun 2017
Event14th IEEE International Symposium on Biomedical Imaging, ISBI 2017 - Melbourne, Australia
Duration: 18 Apr 201721 Apr 2017

Publication series

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

Conference

Conference14th IEEE International Symposium on Biomedical Imaging, ISBI 2017
Country/TerritoryAustralia
CityMelbourne
Period18/04/1721/04/17

Keywords

  • 3-hinge
  • Connective features
  • Prediction

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