The DOI matches its Crossref record; 59 of the 59 references it cites were found in a registry or an index.
Material Separation Using Dual-Energy CT: Current and Emerging Applications
Abstract
Dual-energy (DE) computed tomography (CT) offers the opportunity to generate material-specific images on the basis of the atomic number Z and the unique mass attenuation coefficient of a particular material at different x-ray energies. Material-specific images provide qualitative and quantitative information about tissue composition and contrast media distribution. The most significant contribution of DE CT-based material characterization comes from the capability to assess iodine distribution through the creation of an image that exclusively shows iodine. These iodine-specific images increase tissue contrast and amplify subtle differences in attenuation between normal and abnormal tissues, improving lesion detection and characterization in the abdomen. In addition, DE CT enables computational removal of iodine influence from a CT image, generating virtual noncontrast images. Several additional materials, including calcium, fat, and uric acid, can be separated, permitting imaging assessment of metabolic imbalances, elemental deficiencies, and abnormal deposition of materials within tissues. The ability to obtain material-specific images from a single, contrast-enhanced CT acquisition can complement the anatomic knowledge with functional information, and may be used to reduce the radiation dose by decreasing the number of phases in a multiphasic CT examination. DE CT also enables generation of energy-specific and virtual monochromatic images. Clinical applications of DE CT leverage both material-specific images and virtual monochromatic images to expand the current role of CT and overcome several limitations of single-energy CT. (©)RSNA, 2016.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Computerized transverse axial scanning (tomography): Part 1. Description of system
Hounsfield, G. N. (1973) · The British Journal of Radiology · doi:10.1259/0007-1285-46-552-1016 · Cited by 3,924
Kanis, J. A., & Kanis, J. A. (1994) · Osteoporosis International · doi:10.1007/bf01622200 · Cited by 2,516
Energy-selective reconstructions in X-ray computerised tomography
Alvarez, R. E., & Macovski, A. (1976) · Physics in Medicine & Biology · doi:10.1088/0031-9155/21/5/002 · Cited by 2,013
Material differentiation by dual energy CT: initial experience
Johnson, T. R. C., Krauß, B., Sedlmair, M., Grasruck, M., Bruder, H., Morhard, D., Fink, C., Weckbach, S., Lenhard, M., Schmidt, B., et al. (2007) · European Radiology · doi:10.1007/s00330-006-0517-6 · Cited by 1,510
Intravenous Contrast Medium Administration and Scan Timing at CT: Considerations and Approaches
Bae, K. T. (2010) · Radiology · doi:10.1148/radiol.10090908 · Cited by 1,067
Pickhardt, P. J., Pooler, B. D., Lauder, T., del Rio, A. M., Bruce, R. J., & Binkley, N. (2013) · Annals of Internal Medicine · doi:10.7326/0003-4819-158-8-201304160-00003 · Cited by 954
Schlomka, J. P., Roessl, E., Dorscheid, R., Dill, S., Martens, G., Istel, T., Bäumer, C., Herrmann, C., Steadman, R., Zeitler, G., et al. (2008) · Physics in Medicine and Biology · doi:10.1088/0031-9155/53/15/002 · Cited by 801
Metal artifact reduction by dual energy computed tomography using monoenergetic extrapolation
Bamberg, F., Dierks, A., Nikolaou, K., Reiser, M. F., Becker, C. R., & Johnson, T. R. C. (2011) · European Radiology · doi:10.1007/s00330-011-2062-1 · Cited by 537
Dual energy CT: preliminary observations and potential clinical applications in the abdomen
Graser, A., Johnson, T. R. C., Chandarana, H., & Macari, M. (2009) · European Radiology · doi:10.1007/s00330-008-1122-7 · Cited by 479
Evaluation of a prototype dual‐energy computed tomographic apparatus. I. Phantom studies
Kalender, W. A., Perman, W. H., Vetter, J. R., & Klotz, E. (1986) · Medical Physics · doi:10.1118/1.595958 · Cited by 451
Cited by
Roski, F., Hammel, J., Mei, K., Baum, T., Kirschke, J. S., Laugerette, A., Kopp, F. K., Bodden, J., Pfeiffer, D., Pfeiffer, F., et al. (2019) · European Radiology · doi:10.1007/s00330-019-06263-z · Cited by 70
Jang, W., & Song, J. S. (2023) · Diagnostics · doi:10.3390/diagnostics13111852 · Cited by 55
Metadata
- Authors
- Patino, M., Prochowski, A., Agrawal, M. D., Simeone, F. J., Gupta, R., Hahn, P. F., & Sahani, D. V.
- Venue
- RadioGraphics
- Published
- 2016-07
- Volume
- 36
- Issue
- 4
- Pages
- 1087-1105
- ISSN
- 0271-5333 (ISSN-L)
- 1527-1323
- OpenAlex
- W2469072646
- Cited by
- 328
- References
- 59
- FWCI
- 11.70
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Material Separation Using Dual-Energy CT: Current and Emerging Applications. https://app.cochat.ai/papers/10.1148/rg.2016150220
- The paper
- Patino, M., Prochowski, A., Agrawal, M. D., Simeone, F. J., Gupta, R., Hahn, P. F., & Sahani, D. V. (2016). Material Separation Using Dual-Energy CT: Current and Emerging Applications. RadioGraphics. https://doi.org/10.1148/rg.2016150220
Data sources
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.