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Computerized transverse axial scanning (tomography): Part 1. Description of system
Abstract
This article describes a technique in which X-ray transmission readings are taken through the head at a multitude of angles: from these data, absorption values of the material contained within the head are calculated on a computer and presented as a series of pictures of slices of the cranium. The system is approximately 100 times more sensitive than conventional X-ray systems to such an extent that variations in soft tissues of nearly similar density can be displayed.
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Cited by
Raichle, M. E., & Mintun, M. A. (2006) · Annual Review of Neuroscience · doi:10.1146/annurev.neuro.29.051605.112819 · Cited by 1,630
Three-Dimensional X-Ray Microtomography
Flannery, B. P., Deckman, H. W., Roberge, W. G., & D'Amico, K. L. (1987) · Science · doi:10.1126/science.237.4821.1439 · Cited by 773
Pitfalls in the measurement of muscle mass: A need for a reference standard
Buckinx, F., Landi, F., Cesari, M., Fielding, R. A., Visser, M., Engelke, K., Maggi, S., Dennison, E., Al‐Daghri, N. M., Allepaerts, S., et al. (2018) · Journal of Cachexia, Sarcopenia and Muscle · doi:10.1002/jcsm.12268 · Cited by 765
Raichle, M. E. (2011) · Brain Connectivity · doi:10.1089/brain.2011.0019 · Cited by 672
Three-dimensional real-time in vivo magnetic particle imaging
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Metadata
- Authors
- Hounsfield, G. N.
- Venue
- The British Journal of Radiology
- Publisher
- Oxford University Press (OUP)
- Published
- 1973-12
- Volume
- 46
- Issue
- 552
- Pages
- 1016-1022
- ISSN
- 0007-1285 (ISSN-L)
- 1748-880X
- OpenAlex
- W2123169298
- Cited by
- 3,924
- References
- 0
- FWCI
- 110.41
- Type
- journal article
- Language
- en
- Open access
- closed
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- Hounsfield, G. N. (1973). Computerized transverse axial scanning (tomography): Part 1. Description of system. The British Journal of Radiology. https://doi.org/10.1259/0007-1285-46-552-1016
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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.