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Qualitative results showing registration performance using the TRUSTED dataset. Each figure column corresponds to a method. The first and second figure rows show results with one example (KDY_418R), using a rigid and affine registration refinement transform. The third and fourth figure rows show results with a second example (KDY_680L), using a rigid and affine registration refinement transform. Each image in the figure shows 4 annotations: Blue contour - the GT kidney segmentation in CT. Blue point - the GT position of Landmark 1 in CT. Red contour - the GT kidney segmentation in US, moved to CT coordinates according to the estimated registration. Red point - the GT position of Landmark 1 in US, moved to CT coordinates according to the estimated registration. A checkerboard visualization is used to show the fixed image (CT) overlaid with the registered image (US).
Source publication
Inter-modal image registration (IMIR) and image segmentation with abdominal Ultrasound (US) data have many important clinical applications, including image-guided surgery, automatic organ measurement, and robotic navigation. However, research is severely limited by the lack of public datasets. We propose TRUSTED (the Tridimensional Renal Ultra Soun...
