Jan Müller

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A multi-modality framework for forensic soft-facial reconstruction based on computed tomography (CT) and magnetic resonance imaging (MRI) is presented. CT is used to acquire a virtual representation of a skull find and MRI templates provide the desired soft tissue information to produce a facial likeness of a deceased individual. Two main strategies are(More)
We propose a method, which treats metal artifact reduction in CT by sinogram restoration as a problem of scattered data interpolation. Corrupted sinogram entries are discarded and replaced with artificially generated values. The presented interpolation algorithm is based on the 2D non-equispaced fast Fourier transform (NFFT). Results are compared to two(More)
We present a method to improve the quality of common sino-gram restoration algorithms, which are used for metal-artifact reduction in X-ray CT. The presented approach is based on the idea that the intersection length of all beams through the object of interest can approximately be calculated from a preliminary reconstruction of the object. Incorporating(More)
In diffusion tensor imaging (DTI), an improvement in the signal-to-noise ratio (SNR) of the fractional anisotropy (FA) maps can be obtained when the number of recorded gradient directions (GD) is increased. Vice versa, elimination of motion-corrupted or noisy GD leads to a more accurate characterization of the diffusion tensor. We previously suggest a(More)
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