Abstract:BackgroundThe fusion of computed tomography (CT) and ultrasound (US) image can enhance lesion detection ability and improve the success rate of liver interventional radiology. The image‐based fusion methods encounter the challenge of registration initialization due to the random scanning pose and limited field of view of US. Existing automatic methods those used vessel geometric information and intensity‐based metric are sensitive to parameters and have low success rate. The learning‐based methods require a la… Show more
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