Finite element analysis for normal pressure hydrocephalus: The effects of the integration of sulci

Hakseung Kim, Dae Hyeon Park, Seong Yi, Eun Jin Jeong, Byung C. Yoon, Marek Czosnyka, Michael P F Sutcliffe, Dong Ju Kim

Research output: Contribution to journalArticlepeer-review

6 Citations (Scopus)

Abstract

Finite element analysis (FEA) is increasingly used to investigate the brain under various pathological changes. Although FEA has been used to study hydrocephalus for decades, previous studies have primarily focused on ventriculomegaly. The present study aimed to investigate the pathologic changes regarding sulcal deformation in normal pressure hydrocephalus (NPH).Two finite element (FE) models-an anatomical brain geometric (ABG) model and the conventional simplified brain geometric (SBG) model-of NPH were constructed. The models were constructed with identical boundary conditions but with different geometries. The ABG model contained details of the sulci geometry, whereas these details were omitted from the SBG model. The resulting pathologic changes were assessed via four biomechanical parameters: pore pressure, von Mises stress, pressure, and void ratio. NPH was induced by increasing the transmantle pressure gradient (TPG) from 0 to a maximum of 2.0mmHg.Both models successfully simulated the major features of NPH (i.e., ventriculomegaly and periventricular lucency). The changes in the biomechanical parameters with increasing TPG were similar between the models. However, the SBG model underestimated the degree of stress across the cerebral mantle by 150% compared with the ABG model. The SBG model also overestimates the degree of ventriculomegaly (increases of 194.5% and 154.1% at TPG=2.0mmHg for the SBG and ABG models, respectively).Including the sulci geometry in a FEA for NPH clearly affects the overall results. The conventional SBG model is inferior to the ABG model, which accurately simulated sulcal deformation and the consequent effects on cortical or subcortical structures. The inclusion of sulci in future FEA for the brain is strongly advised, especially for models used to investigate space-occupying lesions.

Original languageEnglish
Pages (from-to)235-244
Number of pages10
JournalMedical Image Analysis
Volume24
Issue number1
DOIs
Publication statusPublished - 2015 Aug 1

Keywords

  • Bi-phase
  • Biomechanics
  • Finite element model
  • Normal pressure hydrocephalus
  • Transmantle pressure gradient

ASJC Scopus subject areas

  • Radiological and Ultrasound Technology
  • Radiology Nuclear Medicine and imaging
  • Computer Vision and Pattern Recognition
  • Health Informatics
  • Computer Graphics and Computer-Aided Design

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