Paper
16 April 1996 Quantified registration error versus the accuracy of registered surfaces for a multimodality surface-based registration system
Paul F. Hemler, Thilaka S. Sumanaweera, Petra A. van den Elsen M.D., Sandy Napel, John R. Adler
Author Affiliations +
Abstract
In this paper we quantitatively evaluate the amount of residual registration error for different settings of an internal parameter of our surface-based multimodality registration system. The investigated parameter controls the accuracy in representing one of the surfaces to be registered. Computational complexity of our registration system is also directly related to the surface representation accuracy for a given data set. We measured registration error using a previously developed reference data set, which accurately determines registration error at many locations throughout the brain. We found a smaller registration error when the registered surface was represented more accurately. The difference in error was not as large as anticipated, suggesting that less accurate representations can be used by our system.
© (1996) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Paul F. Hemler, Thilaka S. Sumanaweera, Petra A. van den Elsen M.D., Sandy Napel, and John R. Adler "Quantified registration error versus the accuracy of registered surfaces for a multimodality surface-based registration system", Proc. SPIE 2710, Medical Imaging 1996: Image Processing, (16 April 1996); https://doi.org/10.1117/12.237937
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Cited by 5 scholarly publications.
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KEYWORDS
Image registration

Computed tomography

Skin

Magnetic resonance imaging

Distortion

Brain

Computing systems

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