Tomography

Tomography ERPE Research Sub Theme

The project aims at developing a new electrical impedance tomography (EIT) device for medical use. This device, called ReMEIT, should enable 3D absolute conductivity image reconstruction. To achieve this goal the project intends to capture the exact positions of the measuring electrodes and the exact thoracic shape using an optical shape capture device. These are absolutely novel approaches in EIT imaging that, if successful, could represent an immense progress in EIT research and a big step towards reliable clinical use of this technology. The project partners not only plan to develop the device but they also propose a strategy for its validation under invivo conditions. At first, healthy volunteers with no history of lung disease will be examined by ReMEIT and, later, the EIT device will be applied in critically ill patients suffering from various pulmonary diseases. In the former case, reference data will be obtained by magnetic resonance imaging (MRI), in the latter one, routine chest X-ray, computed tomography (CT)and MRI data will be utilised.

Research Themes: 

  • Tomography

Full Job Title: 

Senior Lecturer

Engineering Discipline: 

  • Electronics and Electrical Engineering

Research Institute: 

  • Imaging, Data and Communications

Email: 

Dr. Yunjie Yang is a Senior Lecturer (Associate Professor), Chancellor’s Fellow in Data Driven Innovation and Bayes Innovation Fellow at The University of Edinburgh.

Full Job Title: 

Reader

Engineering Discipline: 

  • Electronics and Electrical Engineering

Research Institute: 

  • Imaging, Data and Communications

Email: 

Telephone: 

+44(0)131 6502769

I am an Electrical Engineer interested in the fitting electromagnetic data to their respective models in the context of tomographic image reconstruction and model parameter estimation.

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