Cardiff University | Prifysgol Caerdydd ORCA
Online Research @ Cardiff 
WelshClear Cookie - decide language by browser settings

Computational modelling of brain shift in stereotactic neurosurgery

Bennion, Nicholas 2020. Computational modelling of brain shift in stereotactic neurosurgery. PhD Thesis, Cardiff University.
Item availability restricted.

[thumbnail of 2020BennionNJPhD.pdf]
PDF - Accepted Post-Print Version
Download (10MB) | Preview
[thumbnail of Cardiff University Electronic Publication Form] PDF (Cardiff University Electronic Publication Form) - Supplemental Material
Restricted to Repository staff only

Download (152kB)


Navigation in stereotactic neurosurgery relies solely on preoperative images, with the location of anatomical targets defined relative to the skull. Displacement of the anatomical target from its expected position is a common complication during surgery; however, the magnitude of this deviation is currently unpredictable. One potential source of this error occurs with reorientation of the head alone and is known as positional brain shift (PBS). PBS is the focus of this thesis, which aims to better understand the phenomenon through computational methods. A finite element (FE) model was generated in FEBio, incorporating a novel spring element/fluid structure-interaction representation of the pia-arachnoid complex (PAC). The model was loaded to represent gravity in the prone and supine positions. Material parameter identification and sensitivity analysis were performed using statistical software, comparing the FE results to human in-vivo measurements. Results for the brain Ogden parameters,

Item Type: Thesis (PhD)
Date Type: Completion
Status: Unpublished
Schools: Engineering
Uncontrolled Keywords: Positional Brain shift; FEM; Brain Biomechanics; Pia-Arachnoid Complex; Sensitivity Analysis; Bulk Modulus.
Date of First Compliant Deposit: 21 July 2020
Last Modified: 17 Mar 2021 02:27

Actions (repository staff only)

Edit Item Edit Item


Downloads per month over past year

View more statistics