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Proceedings Paper

Registration of multimodal volume head images via attached markers
Author(s): Venkateswara R. Mandava; J. Michael Fitzpatrick; Calvin R. Maurer Jr.; Robert J. Maciunas; George S. Allen
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Paper Abstract

We investigate the accuracy of registering arbitrarily oriented, multimodal, volume images of the human head, both to other images and to physical space, by aligning a configuration of three or more fiducial points that are the centers of attached markers. To compute the centers we use an extension of an adaptive thresholding algorithm due to Kittler. Because the markers are indistinguishable it is necessary to establish their correspondence between images. We have evaluated geometric matching algorithms for this purpose. The inherent errors in fiducial localization arising with digital images limits the accuracy with which anatomical targets can be registered. To accommodate this error we apply a least-squares registration algorithm to the fiducials. To evaluate the resulting target registration accuracy we have conducted experiments on images of internally implanted markers in a cadaver and images of externally attached markers in volunteers. We have also produced computer simulations of volume images of a hemispherical model of the head, randomly picking corresponding fiducial points and targets in the images, introducing uniformly distributed error into the fiducial locations, registering the images, and measuring target registration accuracy at the 95% confidence level. Our results indicate that submillimetric accuracy is feasible for high resolution images with four markers.

Paper Details

Date Published: 1 June 1992
PDF: 12 pages
Proc. SPIE 1652, Medical Imaging VI: Image Processing, (1 June 1992); doi: 10.1117/12.59434
Show Author Affiliations
Venkateswara R. Mandava, Vanderbilt Univ. (United States)
J. Michael Fitzpatrick, Vanderbilt Univ. (United States)
Calvin R. Maurer Jr., Vanderbilt Univ. (United States)
Robert J. Maciunas, Vanderbilt Univ. (United States)
George S. Allen, Vanderbilt Univ. (United States)

Published in SPIE Proceedings Vol. 1652:
Medical Imaging VI: Image Processing
Murray H. Loew, Editor(s)

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