Registration Algorithm for Statistical Bone Shape Reconstruction from Radiographs - An Accuracy Study

Medical diagnoses relying on 3D data has become a procedure in clinical practice, increasing the valuable diagnostic information. However, high costs are associated with common 3D imaging modalities and therefore posing the demand for alternative approaches. Correspondingly, 2D-3D registration in terms of deforming a surface model of the anatomy of interest under the constraint of statistical plausibility has become an active field of research. In this context a quantitative analysis of the accuracy of the resulting 3D shape related to a prior established gold standard is necessary, especially since registration is based on sparse information about the patient´s true anatomy. The present study discusses validation methods and results. Furthermore approaches for further improvement are provided.