Geert Van Eyndhoven

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In this paper, we consider a limited data reconstruction problem for temporarily evolving computed tomography (CT), where some regions are static during the whole scan and some are dynamic (intensely or slowly changing). When motion occurs during a tomographic experiment one would like to minimize the number of projections used and reconstruct the image(More)
The study of fluid flow through solid matter by computed tomography (CT) imaging has many applications, ranging from petroleum and aquifer engineering to biomedical, manufacturing, and environmental research. To avoid motion artifacts, current experiments are often limited to slow fluid flow dynamics. This severely limits the applicability of the technique.(More)
X-ray computed tomography (CT) is a powerful tool for noninvasive imaging of time-varying objects. In the past, methods have been proposed to reconstruct images from continuously changing objects. For discretely or structurally changing objects, however, such methods fail to reconstruct high quality images, mainly because assumptions about continuity are no(More)
If objects or patients move during a CT scan, reconstructions suffer from severe motion artifacts. Time dependent computed tomography (4DCT) tries to minimize these artifacts by estimating motion and/or reconstruction simultaneously. Most current methods assume a known deformation or a reconstruction without artifacts at a certain time point. This work(More)
X-ray computed tomography (CT) is a powerful tool for non-invasive cardiac imaging. However, radiation dose is a major issue. In this paper, we propose an iterative reconstruction method that reduces the radiation dose without compromising image quality. This is achieved by exploiting prior knowledge in two ways: the reconstructed object is assumed to(More)
Introduction In dynamic micro-CT, the goal is to visualize the interior of a time-varying object at different points in time. If the scanned object is reconstructed without taking into account the object’s motion, the reconstructed image will be blurred. A standard approach to compensate for this motion is to incorporate a motion model in the reconstruction(More)
These three methods gave similar results. A high temperature (over 15 ~ and a low wind speed (2 degrees Beaufort or less) are most favourable for weevil flights. A high temperature may reduce the detrimental effect of a higher wind speed while low wind speeds reduce the detrimental effect of low temperatures. The highest flight activity was observed at(More)
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