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.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Alberico, R.A., Patel, M., Casey, S., Jacobs, B., Maguire, M., Decker, R.: Evaluation of the Circle of Willis with Three-Dimensional CT Angiography in Patients with Suspected Intracranial Aneurysms. AJNR Am J Neuroradiol 16, 1571–1578 (1995)
Zouaoui, A., Sahel, A., Marro, B., et al.: Three-Dimensional Computed Tomographic Angiography in Detection of Cerebral Aneurysms in Acute Subarachnoid Hemorrhage. Neurosurgery 41, 125–130 (1997)
Velthuis, B.K., Rinkel, G.J.E., Ramos, L.M.P., et al.: Subarachnoid Hemorrhage: Aneurysm Detection and Preoperative Evaluation with CT Angiography. Radiology 208, 423–430 (1997)
Meijering, E.H.W., Niessen, W.J., Viergever, M.A.: Retrospective Motion Correction in Digital Subtraction Angiography: A Review. IEEE Trans. on Medical Imaging 18(1), 2–21 (1999)
Buzug, T.M., Weese, J., Strasters, K.C.: Motion Detection and Motion Compensation for Digital Subtraction Angiography Image Enhancement. Philips J. Res. 51, 203–209 (1998)
Jayakrishnan, V.K., White, P.M., Aitken, D., Crane, P., McMahon, A.D., Teasdale, E.M.: Subtraction Helical CT Angiography of Intra- and Extracranial Vessels: Technical Considerations and Preliminary Experience. AJNR Am J. Neuroradiol 24, 451–455 (2003)
Yeung, M.M., Yeo, B.L., Liou, S.P., Banihashemi, A.: Three-Dimensional Image Registration for Spiral CT Angiography. Proc. of Computer Vision and Pattern Recognition, 423–429 (1994)
Venema, H.W., Hulsmans, F.J.H., den Heeten, G.J.: CT Angiography of the Circle of Willis and Intracranial Internal Carotid Arteries: Maximum Intensity Projection with Matched Mask Bone Elimination–Feasibility Study. Radiology 218, 893–898 (2001)
Kwon, S.M., Kim, Y.S., Kim, T., Ra, J.B.: Novel Digital Subtraction CT Angiography based on 3D Registration and Refinement. Proc. of SPIE Medical Image: Image Processing (2004)
Nikolaidis, N., Pitas, I.: 3D Image Processing Algorithm, Wiley Inter-Science Pulication, Frederik Maes, Andre Collignon, Dirk Vandermelen, Guy Marchal, Paul Suetens (2001)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2005 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Hong, H., Lee, H., Shin, Y.G., Seong, Y.H. (2005). Three-Dimensional Brain CT-DSA Using Rigid Registration and Bone Masking for Early Diagnosis and Treatment Planning. In: Baik, DK. (eds) Systems Modeling and Simulation: Theory and Applications. AsiaSim 2004. Lecture Notes in Computer Science(), vol 3398. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30585-9_19
Download citation
DOI: https://doi.org/10.1007/978-3-540-30585-9_19
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-24477-6
Online ISBN: 978-3-540-30585-9
eBook Packages: Computer ScienceComputer Science (R0)