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Proceedings Paper

Quantified registration error versus the accuracy of registered surfaces for a multimodality surface-based registration system
Author(s): Paul F. Hemler; Thilaka S. Sumanaweera; Petra A. van den Elsen; Sandy Napel; John R. Adler
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Paper 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.

Paper Details

Date Published: 16 April 1996
PDF: 10 pages
Proc. SPIE 2710, Medical Imaging 1996: Image Processing, (16 April 1996); doi: 10.1117/12.237937
Show Author Affiliations
Paul F. Hemler, Bowman Gray School of Medicine/ Wake Forest Univ. (United States)
Thilaka S. Sumanaweera, Stanford Univ. School of Medicine (United States)
Petra A. van den Elsen, Stanford Univ. School of Medicine (United States)
Sandy Napel, Stanford Univ. School of Medicine (United States)
John R. Adler, Stanford Univ. School of Medicine (United States)


Published in SPIE Proceedings Vol. 2710:
Medical Imaging 1996: Image Processing
Murray H. Loew; Kenneth M. Hanson, Editor(s)

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