Abstract
A method is presented for the registration of tracked B-mode ultrasound images to a CT volume of a femur or pelvis. This registration can allow tracked surgical instruments to be aligned with the CT image or an associated preoperative plan. Our method requires no manual segmentation of either the ultrasound images or the CT volume. The CT and US images are processed to produce images where the image intensity represents the probability of the presence of a bone edge. These images are then registered together using normalised cross-correlation as a similarity measure. The parameter which represents the speed of sound through tissue has also been included in the registration optimisation process. Experiments have been carried out on six cadaveric femurs and three cadaveric pelves. Registration results were compared with a “gold standard” registration acquired using bone implanted fiducial markers. Results show the registration method to be accurate, on average, to 1.7mm root-mean-square target registration error.
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Keywords
- Probability Density Function
- Probability Image
- Medical Image Computing
- Bone Edge
- Computer Assist Orthopaedic Surgery
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
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Penney, G.P. et al. (2005). Cadaver Validation of Intensity-Based Ultrasound to CT Registration. In: Duncan, J.S., Gerig, G. (eds) Medical Image Computing and Computer-Assisted Intervention – MICCAI 2005. MICCAI 2005. Lecture Notes in Computer Science, vol 3750. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11566489_123
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DOI: https://doi.org/10.1007/11566489_123
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