Christoph Wald

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PURPOSE Metal objects present in x-ray computed tomography (CT) scans are accompanied by physical phenomena that render CT projections inconsistent with the linear assumption made for analytical reconstruction. The inconsistencies create artifacts in reconstructed images. Metal artifact reduction algorithms replace the inconsistent projection data passing(More)
Arteriovenous malformations (AVMs) of the brain are rare vascular disorders characterized by the presence of direct connections between cerebral arteries and veins. Preoperative planning of AVM surgery is a challenging task. The neurosurgeon needs to gain a detailed understanding of both the pathoanatomy of the lesion as well as its location and spatial(More)
Metal artifact reduction methods in computed tomography replace the projection data passing through metals with an estimate of the true data. Inaccurate estimation leads to the generation of secondary artifacts. Data estimates can be improved by the use of prior knowledge of the projection data. In this paper, a method has been created to generate a prior(More)
Renal-cell carcinoma is the most lethal of all urologic malignancies, with a high metastatic potential. Approximately 25% of patients present with stage IV disease, and up to 40% of patients have disease recurrence after nephrectomy. Computed tomography (CT) is an important imaging modality for initial diagnosis and restaging of this patient population.(More)
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