Bone Segmentation and Fracture Detection in Ultrasound Using 3D Local Phase Features
MICCAI '08 Proceedings of the 11th international conference on Medical Image Computing and Computer-Assisted Intervention - Part I
Volumetric Ultrasound Panorama Based on 3D SIFT
MICCAI '08 Proceedings of the 11th International Conference on Medical Image Computing and Computer-Assisted Intervention, Part II
Three-dimensional ultrasound mosaicing
MICCAI'07 Proceedings of the 10th international conference on Medical image computing and computer-assisted intervention
IEEE Transactions on Signal Processing
The 2D analytic signal on RF and B-mode ultrasound images
IPMI'11 Proceedings of the 22nd international conference on Information processing in medical imaging
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We address the problem of the viewing-angle dependency of ultrasound images for registration. The reflected signal from large scale tissue boundaries is dependent on the incident angle of the beam. This applies an implicit weighting on the ultrasound image, dependent on the viewing-angle, which negatively affects the registration process, especially when utilizing curved linear transducers. We show that a simple reweighting of the images, considering a common physical model for ultrasound imaging, is not feasible. We therefore introduce a new matching function, separating reflectivity and scattering regions, which are the results of two different types of physical interactions of the ultrasound beam with the tissue. We use the local phase for identifying regions of reflectivity, and consider it as one part of our matching function, combining feature- and intensity-based aspects. First experiments provide good results for this novel registration approach.