SlicerCBM: Framework for seamless solution of partial differential equations and their visualisation on medical images

Saima Safdar

Research output: ThesisDoctoral Thesis

167 Downloads (Pure)

Abstract

Scientific computations usually involve solving models mathematically described by boundary value problems of partial differential equations (PDEs). In the context of brain diseases, the most common models are of biomechanics, for computing soft tissue deformations for neuronavigation, and electrostatics, for analysing the electric field propagation within the brain for localisation of epileptic seizure onset zone. I created a framework, SlicerCBM (Computational Biophysics for Medicine in 3DSlicer), to automatically generate biomechanical and bioelectric computational brain models, and to solve the underlying differential equations of continuum mechanics and electricity respectively. Moreover, to facilitate worldwide application by the research and clinical communities.
Original languageEnglish
QualificationDoctor of Philosophy
Awarding Institution
  • The University of Western Australia
Supervisors/Advisors
  • Wittek, Adam, Supervisor
  • Miller, Karol, Supervisor
Thesis sponsors
Award date13 Mar 2023
DOIs
Publication statusUnpublished - 2023

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