The ability to look inside an object is both fascinating and insightful, and has many applications both in medicine and in metrology. Often, one of the challenges here is that the object must not be destroyed and information about its insides can only be acquired in form of radiographic scans, such as x-ray images. These scans inherently represent integrals rather than absolute values. The objective of methods in the project is to reconstruct information from integrated projections efficiently and accurately. The difficulties vary from time-variance and scarcity of data for medical applications to computational cost and memory footprint for metrology. We cooperate with industry to find new methods for solving these problems.
Geometry Calibration Correction for Truncated Detector CT
in e-Journal of Nondestructive Testing (eJNDT), vol. 28, no. 3, NDT.net, February 2023.
iCT Special Issue
Feature-Sensitive Ring Artifact Correction for Computed Tomography
in Journal of Nondestructive Evaluation (JONE), vol. 42, no. 5, Springer, pp. 1-9, December 2022.
Method for fast determination of the angle of ionizing radiation incidence from data measured by a Timepix3 detector
in Journal of Sensors and Sensor Systems, vol. 10, pp. 63-70, March 2021.
Real-Time High-Resolution Cone-Beam CT Using GPU-Based Multi-Resolution Sampling
in Proc. IEEE International Conference on Image Processing (ICIP), pp. 1163-1167, October 2018.