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Proceedings Paper

Grey value correlation techniques used for automatic matching of CT and MR brain and spine images
Author(s): Petra A. van den Elsen; Evert-Jan D. Pol; Thilaka S. Sumanaweera; Paul F. Hemler; Sandy Napel; John R. Adler
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Paper Abstract

Grey value correlation is generally considered not to be applicable to matching of images of different modalities. In this paper we will demonstrate that, with a simple preprocessing step for the Computed Tomography (CT) images, grey value correlation can be used for matching of Magnetic Resonance Imaging (MRI) with CT images. Two simple schemes are presented for automated 3D matching of MRI and CT neuroradiological images. Both schemes involve grey value correlation of the images in order to determine the matching transformation. In both schemes the preprocessing consists of a simple intensity mapping of the original CT image only. It will be shown that the results are insensitive to considerable changes in the parameters that determine the intensity mapping. Whichever preprocessing step is chosen, the correlation method is robust and accurate. Results, compared with a skin marker-based matching technique, are shown for brain images. Additionally, results are shown for an entirely new application: matching of the cervical spine.

Paper Details

Date Published: 9 September 1994
PDF: 11 pages
Proc. SPIE 2359, Visualization in Biomedical Computing 1994, (9 September 1994); doi: 10.1117/12.185182
Show Author Affiliations
Petra A. van den Elsen, Stanford Univ. School of Medicine and Utrecht Univ. Hospital (United States)
Evert-Jan D. Pol, Philips Research Labs. (United States)
Thilaka S. Sumanaweera, Stanford Univ. School of Medicine (United States)
Paul F. Hemler, Wake Forest Univ. (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. 2359:
Visualization in Biomedical Computing 1994

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