Three-Dimensional Brain CT-DSA Using Rigid Registration and Bone Masking for Early Diagnosis and Treatment Planning

Abstract

This paper proposes an accurate and robust three-dimensional brain CT-DSA using rigid registration and bone masking for early diagnosis and treatment planning of intracranial aneurysms. Our method is composed of the following four steps. First, a set of feature points within skull base are selected using a 3D edge detection technique. Second, a locally weighted 3D distance map is constructed for leading our similarity measure to robust convergence on the maximum value. Third, the similarity measure between feature points is evaluated repeatedly by selective cross-correlation. Fourth, bone masking is performed to completely remove bones. Experimental results show that the accuracy and robustness of our method are much better than conventional methods. In particular, our method can be useful for the early diagnosis and treatment planning of intracranial aneurysms.KeywordsCompute Tomographic AngiographyFeature PointSkull BaseIntracranial AneurysmContrast VolumeThese keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.