Prediction of ventricular boundary evolutionin hydrocephalic brain via a combined level set and adaptive finite element mesh warping method
Visualitza/Obre
Estadístiques de LA Referencia / Recolecta
Inclou dades d'ús des de 2022
Cita com:
hdl:2117/333791
Tipus de documentText en actes de congrés
Data publicació2015
EditorCIMNE
Condicions d'accésAccés obert
Tots els drets reservats. Aquesta obra està protegida pels drets de propietat intel·lectual i
industrial corresponents. Sense perjudici de les exempcions legals existents, queda prohibida la seva
reproducció, distribució, comunicació pública o transformació sense l'autorització del titular dels drets
Abstract
Hydrocephalus is a serious neurological disorder caused by abnormalities in cerebrospinal fluid (CSF) flow, resulting in large brain deformations and neuronal damage. Treatments drain the excess CSF from the ventricles either via a CSF shunt or an endoscopic third ventriculostomy. However, patients’responseto these treatments is poor. Mathematical models of hydrocephalus mechanics couldaid neurosurgeons in hydrocephalus treatment planning.Current models and corresponding computational simulations of hydrocephalus are still in their infancy, despitethis being a disease with serious long-term implications.We propose a novel geometriccomputational approach for tracking the evolution of hydrocephalic brain tissue –ventricular CSF interfacevia the level set method and an adaptive mesh warping technique. In our previous work [1], weevolved the ventricular boundary in 2D CT images which required a backtracking line search for obtaining valid intermediate meshes for use with FEMWARP, a finite element-based mesh warping method. In [2], we automatically evolved the ventricular boundary deformation for 2D CT imagesvia the level set method. To help surgeons determine where to implant a shunt, we also computed the brain ventricle volume evolution for 3D MR images using FEMWARP.In this work, we generalize the results from [1,2] and incorporate adaptive mesh refinement following mesh deformation. Based on the use of the solution gradientof the PDE in the mesh warping approach as an enrichment indicator, the mesh is refinedwhere the solution gradient islargeand is coarsened where it is small.We present computational simulations of the onset and treatment of pediatric hydrocephalus based on 2D CT images which demonstrate the success of our combined level set/adaptive finite element-based mesh warping approach.
CitacióShontz, S.M.; Drapaca, C.S. Prediction of ventricular boundary evolutionin hydrocephalic brain via a combined level set and adaptive finite element mesh warping method. A: ADMOS 2015. CIMNE, 2015, p. 48.
Fitxers | Descripció | Mida | Format | Visualitza |
---|---|---|---|---|
Admos2015_27-Pr ... f Ventricular Boundary.pdf | 190,0Kb | Visualitza/Obre |