This thesis focuses on the development of visual computing techniques for advanced medical ultrasound visualization. At first, techniques for improved 2D B-mode ultrasound visualization are presented, where the observer is provided with real-time feedback on the uncertainty present in the image. The second part of this thesis then introduces an orientation-driven ultrasound compounding approach to create high-quality 3D ultrasound volumes. Finally, a novel predicate-based classification technique allows for more meaningful visualization of such data.
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This thesis focuses on the development of visual computing techniques for advanced medical ultrasound visualization. At first, techniques for improved 2D B-mode ultrasound visualization are presented, where the observer is provided with real-time feedback on the uncertainty present in the image. The second part of this thesis then introduces an orientation-driven ultrasound compounding approach to create high-quality 3D ultrasound volumes. Finally, a novel predicate-based classification techniqu...
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