X-ray computed tomography (CT) is a imaging modality for high-resolution visualization of the human anatomy. Its drawback is the increased health risk due to the ionizing radiation. Simply downscaling the radiation intensity results in inferior image quality and thus in unreliable medical diagnoses. This work considers the computation of optimized intensity profiles, \ie profiles that apply only a small amount of dose at high image quality. To this end, metrics for image quality as well as for dose are derived. Based on that, optimization tasks are formulated and addressed by numerical as well as analytic solution approaches. This includes in particular the derivation and analysis of a novel type of cutting plane algorithm. The results of the numerical simulations show the excellent dose reduction potential of this technique, especially for so called inverse geometries, and hence support further research on these novel CT architectures.
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X-ray computed tomography (CT) is a imaging modality for high-resolution visualization of the human anatomy. Its drawback is the increased health risk due to the ionizing radiation. Simply downscaling the radiation intensity results in inferior image quality and thus in unreliable medical diagnoses. This work considers the computation of optimized intensity profiles, \ie profiles that apply only a small amount of dose at high image quality. To this end, metrics for image quality as well as for d...
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