Three-dimensional brain CT-DSA using rigid registration and bone masking for early diagnosis and treatment planning

  • Authors:

  • Helen Hong;Ho Lee;Yeong Gil Shin;Yeol Hun Seong

  • Affiliations:

  • School of Electrical Engineering and Computer Science BK21: Information Technology, Seoul National University, Seoul, Korea;School of Electrical Engineering and Computer Science, Seoul National University;,School of Electrical Engineering and Computer Science, Seoul National University;Dept. of Radiology, Seoul National University Bundang Hospital, Kyunggi-do, Korea

  • Venue:
  • AsiaSim'04 Proceedings of the Third Asian simulation conference on Systems Modeling and Simulation: theory and applications
  • Year:
  • 2004

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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.