Data analysis

Imaging at DTU also includes research groups working on advanced CT reconstruction techniques, image analysis, as well as modelling and simulation. 

CT reconstruction

The large amount of data generated by X-ray and neutron imaging technologies demands large computing capacities and dedicated algorithms. The Scientific Computing section at DTU Compute is specialised in these areas and works with Bayesian and deterministic methods for tomography and imaging. In the project HD Tomo, financed by the ERC, DTU Compute develops a new generation of tomographic imaging methods, which can give the highest possible definition.

Image Analysis

The Image Analysis and Computer Graphics section (IACG) has a long tradition for working with image analysis in the medical field and has expanded its field of expertise to a wide range of applications (energy materials, manufacturing optimization, food industry, etc.).  The research carried out by the IACG focuses mainly on extending image analysis methods from 2D to 3D, on lowering computational times, and on developing methods to increase the level of automatization in image analysis procedures.   
Moreover, the IACG section works to develop new methods for segmentation, pattern recognition and featured detection, which are some of the key issues in the advancement of imaging techniques within materials research.
The section is involved in the following projects: CINEMA, MADE, EASi, NEXIM, CIFQ

Modelling and Simulation

Researchers at Imaging at DTU specialize within modelling and simulation, which follow the reconstruction and processing of volumetric data with appropriate image analysis tools. Finite element modelling and flow simulations are a part of the repertoire. 


Anders Bjorholm Dahl
Professor, Head of Section
DTU Compute
+45 45 25 39 07