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Spiral volumetric CT with single-breath-hold technique, continuous transport, and continuous scanner rotation.

Kalender, W A, Seissler, W, Klotz, E, Vock, P·1990·Radiology

Abstract

Continuous computed tomographic (CT) scanning of organ volumes during a single breath hold was studied. The authors modified the table feed mechanism of a continuously rotating CT scanner to allow patient transport at low, but accurately controlled, speeds (0.1-11.0 mm/sec) during continuous 1-second scanning. An algorithm was designed to reconstruct artifact-free images for arbitrary table positions from the helical data by interpolating between adjacent scans. Section sensitivity profiles were enlarged; the section width for a 10-mm section and a speed of 10.0 mm/sec was increased by a factor of 1.3, compared with the nominal value. Clinical examples were presented for studies of lung nodules and studies enhanced with contrast medium. Major advantages are the possibility of continuous scanning of extended volumes within a breath-hold period and retrospective, arbitrary selection of anatomic levels.

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Metadata

Authors
Kalender, W. A., Seissler, W., Klotz, E., & Vock, P.
Venue
Radiology
Published
1990-07
Volume
176
Issue
1
Pages
181-183
ISSN
  • 0033-8419 (ISSN-L)
  • 1527-1315
OpenAlex
W2028648047
Cited by
1,036
References
0
FWCI
12.85
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Spiral volumetric CT with single-breath-hold technique, continuous transport, and continuous scanner rotation. https://app.cochat.ai/papers/10.1148/radiology.176.1.2353088
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Kalender, W. A., Seissler, W., Klotz, E., & Vock, P. (1990). Spiral volumetric CT with single-breath-hold technique, continuous transport, and continuous scanner rotation. Radiology. https://doi.org/10.1148/radiology.176.1.2353088

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

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.