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This paper introduces a non-rigid registration approach for tracking tumor response to radiofrequency ablation (RFA) across consecutive imaging studies. The method described here exploits the combined power of global and local alignment of pre- and post-treatment CT liver images for a given patient. The distinguishing characteristics of the system is that(More)
A deformable registration technique was developed and evaluated to track and quantify tumor response to radiofrequency ablation for patients with liver malignancies. The method uses the combined power of global and local alignment of pre- and post- treatment computed tomography image data sets. The strategy of the algorithm is to infer volumetric(More)
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