Jan De Beenhouwer

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3D iterative reconstruction of Single Photon Emission Computed Tomography (SPECT) acquisitions is a widely used but computationaly intensive process. Reconstructing data from a rotating slat collimated system increases the computation time even further. Since the sensitivity profile of such a camera is not constant over the field of view, it is important to(More)
In X-ray imaging, it is common practice to normalize the acquired projection data with averaged flat fields taken prior to the scan. Unfortunately, due to source instabilities, vibrating beamline components such as the monochromator, time varying detector properties, or other confounding factors, flat fields are often far from stationary, resulting in(More)
In tomography, slight differences between the geometry of the scanner hardware and the geometric model used in the reconstruction lead to alignment artifacts. To exploit high-resolution detectors used in many applications of tomography, alignment of the projection data is essential. Markerless alignment algorithms are the preferred choice over alignment(More)
In emission tomography, iterative reconstruction is usually followed by a linear smoothing filter to make such images more appropriate for visual inspection and diagnosis by a physician. This will result in a global blurring of the images, smoothing across edges and possibly discarding valuable image information for detection tasks. The purpose of this(More)
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