Evaluating the accuracy of three-dimensional image registration algorithms used in multimodal image fusion

Udita Taneja; Kerrie S. Holton Tainter; Jon J. Camp; Richard A. Robb

doi:10.1117/12.185184

9 September 1994 Evaluating the accuracy of three-dimensional image registration algorithms used in multimodal image fusion

Udita Taneja, Kerrie S. Holton Tainter, Jon J. Camp, Richard A. Robb

Author Affiliations +

Proceedings Volume 2359, Visualization in Biomedical Computing 1994; (1994) https://doi.org/10.1117/12.185184
Event: Visualization in Biomedical Computing 1994, 1994, Rochester, MN, United States

Abstract

Composite or 'fused' images generated using multimodality/multispectral images from magnetic resonance images (MRI) and computed tomography (CT) are increasingly being used in various diagnostic and therapeutic procedures such as neurosurgery and radiotherapy treatment planning. To be able to make quantitative measurements from these images it is important to determine the error introduced by the image registration algorithm. We have quantified the errors introduced by one such algorithm, the surface matching algorithm available in the ANALYZE software package. Image data from a head phantom and from actual patient data are used in the analysis. Three indicators are evaluated - translation error, residual gray scale error and the error in external marker distances. Results are presented for out-of-plane, in-plane and multiaxis rotation over a range of angles. The registration error increases with an increase in the out-of-plane rotation. Errors introduced by the interpolation and truncation of data in the registration procedure is also evaluated and remains fairly constant. A high degree of correlation is seen among the three measures of error and these should prove useful in evaluating other algorithms as well.

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Udita Taneja, Kerrie S. Holton Tainter, Jon J. Camp, and Richard A. Robb "Evaluating the accuracy of three-dimensional image registration algorithms used in multimodal image fusion", Proc. SPIE 2359, Visualization in Biomedical Computing 1994, (9 September 1994); https://doi.org/10.1117/12.185184

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