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A comparison of a similarity-based and a feature-based 2-D-3-D registration method for neurointerventional use.

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...

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Publication status:
Published

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Publisher copy:
10.1109/tmi.2005.852067

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Institution:
University of Oxford
Department:
Oxford, MPLS, Engineering Science
Role:
Author
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Institution:
University of Oxford
Department:
Oxford, MSD, Surgical Sciences
Role:
Author
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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

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