Gyrus and Sulcus Modelling Utilizing a Generic Topography Analysis Strategy for Processing Arbitrarily Oriented 3D Surfaces

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

Abstract

Accurate and robust identification of the gyri and sulci of the human brain is a pre-requisite of high importance for modelling the brain surface and thus to facilitate quantitative measurements and novel classification concepts. In this work we introduce a watershed-inspired image processing strategy for topographical analysis of arbitrary surfaces in 3D. Thereby the object's topographical structure represented as depth profile is iteratively transformed into cyclic graph representations of both, the lowest and the highest characteristics of the particular shape. For graph analysis, the surface elements are partitioned according to their depth value. Neighbouring regions at different depth levels are iteratively merged. For region merging, the shape defining medial axes of the involved regions have to be connected by the optimum path with respect to a fitness function balancing shortness and minimal depth level changes of the solution.

Original languageEnglish
Title of host publication23rd European Modeling and Simulation Symposium, EMSS 2011
Pages111-117
Number of pages7
Publication statusPublished - 2011
Event23rd IEEE European Modeling & Simulation Symposium (EMSS 2011) - Rom, Italy
Duration: 12 Sep 201114 Sep 2011
http://www.msc-les.org/conf/emss2011/

Publication series

Name23rd European Modeling and Simulation Symposium, EMSS 2011

Conference

Conference23rd IEEE European Modeling & Simulation Symposium (EMSS 2011)
Country/TerritoryItaly
CityRom
Period12.09.201114.09.2011
Internet address

Keywords

  • Cyclic graph representation
  • Sulcus and gyrus classification
  • Topographical surface analysis

Fingerprint

Dive into the research topics of 'Gyrus and Sulcus Modelling Utilizing a Generic Topography Analysis Strategy for Processing Arbitrarily Oriented 3D Surfaces'. Together they form a unique fingerprint.

Cite this