- Abstract:
-
Two-dimensional (2-D)-to-three-dimensional (3-D) registration can improve visualization which may aid minimally invasive neurointerventions. Using clinical and phantom studies, two state-of-the-art approaches to rigid registration are compared quantitatively: an intensity-based algorithm using the gradient difference similarity measure; and an iterative closest point (ICP)-based algorithm. The gradient difference approach was found to be more accurate, with an average registration accuracy of...
Expand abstract - Publication status:
- Published
- Publisher copy:
- 10.1109/tmi.2005.852067
-
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- Journal:
- IEEE transactions on medical imaging
- Volume:
- 24
- Issue:
- 8
- Pages:
- 1058-1066
- Publication date:
- 2005-08-05
- DOI:
- EISSN:
-
1558-254X
- ISSN:
-
0278-0062
- URN:
-
uuid:e2c4efd6-69c2-4b5a-97af-b0d7e2a50e58
- Source identifiers:
-
62488
- Local pid:
- pubs:62488
- Language:
- English
- Keywords:
- Copyright date:
- 2005
Journal article
A comparison of a similarity-based and a feature-based 2-D-3-D registration method for neurointerventional use.
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