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Cited by 244

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Frameless stereotaxic integration of CT imaging data: accuracy and initial applications.

Zinreich, S J, Tebo, S A, Long, D M, Brem, H, Mattox, D E, Loury, M E, vander Kolk, C A, Koch, W M, Kennedy, D W, Bryan, R N·1993·Radiology

Abstract

To evaluate the spatial accuracy of a rapid interactive method of transferring computed tomographic (CT) information between its display on a computer screen to its source (test object, operating field), a multidimensional computer combined with a six-jointed position-sensing mechanical arm was tested with a Plexiglas model consisting of 50 rods of varied height and known location, a plastic replica of the skull, and, subsequently, three patients. The median error value between image and real location was 1-2 mm (P > .95), regardless of the registration target sites. The accuracy, however, increased with the selection of widespread registration points, and 95% of all errors were below 3.70 mm (P > .95). The results compare favorably with the four most commonly used stereotaxic framed units. A misregistration error of 0.3-2.2 mm was found during intraoperative correlation between anatomy on the CT display and actual anatomic location in the operative field.

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Metadata

Authors
Zinreich, S. J., Tebo, S. A., Long, D. M., Brem, H., Mattox, D. E., Loury, M. E., vander Kolk, C. A., Koch, W. M., Kennedy, D. W., & Bryan, R. N.
Venue
Radiology
Published
1993-09
Volume
188
Issue
3
Pages
735-742
ISSN
  • 0033-8419 (ISSN-L)
  • 1527-1315
OpenAlex
W2105406577
Cited by
244
References
0
FWCI
19.05
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Frameless stereotaxic integration of CT imaging data: accuracy and initial applications. https://app.cochat.ai/papers/10.1148/radiology.188.3.8351341
The paper
Zinreich, S. J., Tebo, S. A., Long, D. M., Brem, H., Mattox, D. E., Loury, M. E., vander Kolk, C. A., Koch, W. M., Kennedy, D. W., & Bryan, R. N. (1993). Frameless stereotaxic integration of CT imaging data: accuracy and initial applications. Radiology. https://doi.org/10.1148/radiology.188.3.8351341

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.