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Die vorliegende Arbeit zeichnet sich dadurch aus, dass registrierte unsegmentierte Volumina aus multimodalen Bilddatensätzen (z.B. MRT, PET) gleichzeitig in einer 3D-Rekonstruktion visualisiert werden und in Echtzeit manipuliert werden können. Ermöglicht wird die Echtzeitfähigkeit durch die Programmierung der Algorithmen zur direkten Volumenvisualisierung auf der Grafikkarte mittels der neuen CUDA-Technologie. Die Zuordnung der Farbeigenschaften wird über 1D-Transferfunktionen für jedes Volumen getrennt gesteuert. So können durch die interaktive Veränderung der 1D-Transferfunktion Detailinformationen aus den zwei Bilddatensätzen getrennt kontrolliert werden und die Vorteile der verschiedenen Bildmodalitäten in einer Visualisierung genutzt werden. Mittels dieses interaktiven Frameworks können neue Erkenntnisse insbesondere über neurodegenerativen Erkrankungen gewonnen werden.
In steps of the production chain of carbide inserts, such as unloading or packaging, the conformity test of the insert type is done manually, which causes a statistic increase of errors due to monotony and fatigue of the worker and the wide variety of the insert types. A machine vision system is introduced that captures digital frames of the inserts in the production line, analyses inspects automatically and measures four quality features: coating colour, edge radius, plate shape and chip-former geometry. This new method has been tested on several inserts of different types and has shown that the prevalent insert types can be inspected and robustly classified in real production environment and therefore improves the manufacturing automation.