Multi-view graph matching of cortical landmarks

Ying Huang, Zhibin He, Lei Guo, Tianming Liu, Tuo Zhang

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

Abstract

Human brain image alignment based on cortical folding pattern has long been an intriguing yet challenging research topic. Recently, a new gyral folding pattern, termed gyral hinge, was proposed and characterized by the conjunction of gyri from multiple directions. The uniqueness and importance of gyral hinges lie in their structural and functional importance and potential cross-subject correspondence, making them possible to be used as cortical landmarks. However, such an anatomical correspondence based on these new cortical landmarks is not fully studied and not related to structural connective similarity and functional coherence. Thus, we investigate whether the single use of structural connective or functional interactive diagrams, or the joint use of them could improve the alignment of these gyral hinges. Based on the pairwise graph matching method, we propose a multi-view framework in which all gyral hinges within a subject are taken as a system and its structural and functional connective networks are used as inputs. The results demonstrate that the joint use of structural and functional profiles outperforms those based on either of them and outperform those based on image registration methods.

Original languageEnglish
Title of host publicationMedical Image Computing and Computer Assisted Intervention – MICCAI 2019 - 22nd International Conference, Proceedings
EditorsDinggang Shen, Pew-Thian Yap, Tianming Liu, Terry M. Peters, Ali Khan, Lawrence H. Staib, Caroline Essert, Sean Zhou
PublisherSpringer Science and Business Media Deutschland GmbH
Pages84-92
Number of pages9
ISBN (Print)9783030322502
DOIs
StatePublished - 2019
Event22nd International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2019 - Shenzhen, China
Duration: 13 Oct 201917 Oct 2019

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume11767 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference22nd International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2019
Country/TerritoryChina
CityShenzhen
Period13/10/1917/10/19

Keywords

  • Cortical landmarks
  • Cross-subject correspondence

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