PostDoc - Antwerpen | More than two weeks ago
The Vision Lab, an imec research group at the University of Antwerp (http://visielab.uantwerpen.be/ ), has an open position for a Postdoc to work on developing advanced image reconstruction methods for computed tomography.
The Vision Lab, an imec (https://www.imec-int.com/en) research group of the physics department at the University of Antwerp. The Vision Lab has unique expertise in the development of algorithms for reconstruction, processing and analysis of tomographic imaging data. Application domains are MRI, X-ray, Terahertz, Electron and Impedance Tomography. The working environment is strongly interdisciplinary, combining techniques and insights from Physics, Mathematics and Computer Science. The group has a broad range of national and international collaborations with both academic and industrial partners. Recent publications on tomography can be found on http://visielab.uantwerpen.be/research/tomography.
The Vision Lab, an imec (https://www.imec-int.com/en/home) research group at the University of Antwerp (http://visielab.uantwerpen.be/ ), has an open position for a Postdoc to work on developing advanced image reconstruction methods for computed tomography. Tomography is an image reconstruction technique that leans strongly on large-scale numerical mathematics, particularly linear algebra. It has a wide range of applications in medicine (CT-scans), industry (nondestructive testing), and science (3D characterization and material analysis).
Context of the research project
Electrical impedance tomography (EIT) is a non-invasive, label-free imaging technique that enables to reconstruct the conductivity distribution in a body from a series of impedance measurements. Impedance measurements can be used to determine the position, morphology, and growth of cells or tissues, as well as pathological signs, e.g., precancerous tissue conditions. The newest high-density microelectrode array system developed at imec features 59,760 integrated electrodes. The chip allows impedance measurement through 32 channels, which enables EIT measurements . The current goal of this project is to develop superresolution reconstruction EIT algorithms that allow for single-cell-resolution impedance imaging.