Abstract
Measurement of surface deformation is a key component for mapping intraoperative and preoperative image data in image-guided surgery. In this study, we segment CT-scanned images and then use a coherent point drift algorithm for the estimation of surface deformation. To extract surface points, the segmentation is based on the intensity of the image data. The registration of two point sets is considered as a probability density estimation problem in an expectation-maximization framework. Experimental results show that surface deformation between two point sets can be obtained based on the obtained geometric transformation.
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