Adaptive Mesh Generation for Electrical Impedance Tomography of Brain Function
Electrical Impedance Tomography (EIT) is novel medical imaging method which can be used to produce images of the internal electrical properties of a subject using rings of external ECG type electrodes. It is small, portable and safe, and has a unique potential to produce images of electrical activity in the brain over milliseconds. It could also be used in ambulances or in the community for imaging in stroke or epileptic seizures and allow improved treatment. The imaging process requires the use of detailed numerical computer models of the head with meshes constructed using the Finite Element Method (FEM). Currently used FEMs can be produced from an individual subject’s MRI or CT and assume the tissues represented are homogeneous.
Challenges are to improve image quality by the use of more accurate FEM models which can be obtained without a prior MRI or CT. The work of this project will be to develop these improvements. This will include incorporation for anisotropy in the mesh, warping of meshes to external co-ordinates obtained with an automated electrode helmet, and the speeding up of image reconstruction using parallelisation so as to increase the mesh size that can be used. The deliverable will be an improved method for generating meshes and an objective assessment of its advantages in human studies in stroke and epilepsy.
Related Methodological Themes