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» Geostatistical Medical Image Registration
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ICCV
2003
IEEE
14 years 9 months ago
Assessing Accuracy Factors in Deformable 2D/3D Medical Image Registration Using a Statistical Pelvis Model
: Deformable 2D-3D medical image registration is an essential technique in Computer Integrated Surgery (CIS) to fuse 3D pre-operative data with 2D intra-operative data. Several fac...
Jianhua Yao, Russell H. Taylor
MICCAI
2005
Springer
14 years 1 months ago
Comparison of Simultaneous and Sequential Two-View Registration for 3D/2D Registration of Vascular Images
Accurate 3D/2D vessel registration is complicated by issues of image quality, occlusion, and other problems. This study performs a quantitative comparison of 3D/2D vessel registrat...
Chetna Pathak, Mark H. Van Horn, Susan Weeks, Eliz...
ISBI
2006
IEEE
14 years 1 months ago
Improve brain registration using machine learning methods
A machine learning method is introduced here to improve the accuracy of brain registration. Generally, different brain regions might need different types or sets of features for r...
Guorong Wu, Feihu Qi, Dinggang Shen
IVC
2006
112views more  IVC 2006»
13 years 7 months ago
A comparison between BEM and FEM for elastic registration of medical images
The aim of medical image registration is to bring different images into the best possible spatial correspondence in order to obtain complementary information for clinical applicat...
Evgeny Gladilin, Vladimir Pekar, Karl Rohr, H. Sie...
MICCAI
2004
Springer
14 years 8 months ago
Parallel Optimization Approaches for Medical Image Registration
Optimization of a similarity metric is an essential component in most medical image registration approaches based on image intensities. The increasing availability of parallel comp...
Mark P. Wachowiak, Terry M. Peters