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

Authors
Kim, HakseungPark, Dae-HyeonYi, SeongJeong, Eun-JinYoon, Byung C.Czosnyka, MarekSutcliffe, Michael P. P.Kim, Dong-Joo
Issue Date
Aug-2015
Publisher
ELSEVIER SCIENCE BV
Keywords
Biomechanics; Bi-phase; Finite element model; Transmantle pressure gradient; Normal pressure hydrocephalus
Citation
MEDICAL IMAGE ANALYSIS, v.24, no.1, pp.235 - 244
Indexed
SCIE
SCOPUS
Journal Title
MEDICAL IMAGE ANALYSIS
Volume
24
Number
1
Start Page
235
End Page
244
URI
https://scholar.korea.ac.kr/handle/2021.sw.korea/92898
DOI
10.1016/j.media.2015.05.006
ISSN
1361-8415
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 2.0 mmHg. 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 = 2.0 mmHg 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. (C) 2015 Elsevier B.V. All rights reserved.
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