The correct alignment of images is one of the key technologies in medical imaging. The established spatial relationship between images enables, for instance, to fuse complementary information. The process that calculates the transformation is referred to as registration. The automatic registration of images is important for applications such as ultrasound mosaicing and motion modeling. Image noise and artifacts complicate, however, the correct alignment. The registration of ultrasound images is considered to be especially challenging due to their inherent contamination with speckle noise and their viewing angle dependency. In the scope of this thesis, we present contributions to ultrasound imaging and registration, together with advances in ultrasound mosaicing and motion modeling.
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The correct alignment of images is one of the key technologies in medical imaging. The established spatial relationship between images enables, for instance, to fuse complementary information. The process that calculates the transformation is referred to as registration. The automatic registration of images is important for applications such as ultrasound mosaicing and motion modeling. Image noise and artifacts complicate, however, the correct alignment. The registration of ultrasound images is...
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