Computational Aspects of Electrical Impedance Tomography
EIT (Electrical Impedance Tomography) is an attractive option for medical imaging, less damaging than Xray and at lesser cost than MRI. For real time observations it is important to use the available computational power of modern CPU's. The D-bar method to construct regularized images can take advantage of the many computational cores available. In this talk an optimized computational path and its results are presented.
Studium von Mathematik und Physik an der Universität Zürich
* Postdoc und Assistenzprofessur in Utah
* Dozent an der BFH seit 1992