Abstract
Robust registration between prone and supine data acquisitions for CT colonography is pivotal for medical interpretation but a challenging problem, especially in sub-optimally prepared patients. This paper introduces a prone and supine registration method that aims to overcome the difficulties posed by differences in luminal distension and bowel cleansing. The endoluminal surface is iteratively deformed using thin plate spline interpolation in order to increase similarity between prone and supine surfaces. Iterative deformation allows the re-computation of surface curvatures and, therefore, surface features to resemble one another more closely. Therefore, the similarity between surfaces increases with each optimization step when running a subsequent intensity-based registration in cylindrical space. Improved spatial alignment of endoluminal surfaces and better registration accuracies are shown in a limited number of challenging cases.
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Roth, H.R. et al. (2013). Registration of Prone and Supine CT Colonography Datasets with Differing Endoluminal Distension. In: Yoshida, H., Warfield, S., Vannier, M.W. (eds) Abdominal Imaging. Computation and Clinical Applications. ABD-MICCAI 2013. Lecture Notes in Computer Science, vol 8198. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-41083-3_4
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DOI: https://doi.org/10.1007/978-3-642-41083-3_4
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