The DOI matches its Crossref record.
Analytic 3D image reconstruction using all detected events
Abstract
The authors present the results of testing an algorithm for three-dimensional image reconstruction that uses all gamma-ray coincidence events detected by a PET (positron emission tomography) volume imaging scanner. By using two iterations of an analytic filter-backprojection method, the algorithm is not constrained by the requirement of a spatially invariant detector point spread function, which limits normal analytic techniques. Removing this constraint allows the incorporation of all detected events, regardless of orientation, which improves the statistical quality of the final reconstructed image.>
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
Cited by
Parametric Imaging of Ligand-Receptor Binding in PET Using a Simplified Reference Region Model
Gunn, R. N., Lammertsma, A. A., Hume, S. P., & Cunningham, V. J. (1997) · NeuroImage · doi:10.1006/nimg.1997.0303 · Cited by 1,084
Attenuation correction for a combined 3D PET/CT scanner
Kinahan, P. E., Townsend, D. W., Beyer, T., & Sashin, D. (1998) · Medical Physics · doi:10.1118/1.598392 · Cited by 946
Self-citationSTIR: software for tomographic image reconstruction release 2
Thielemans, K., Tsoumpas, C., Mustafovic, S., Beisel, T., Aguiar, P., Dikaios, N., & Jacobson, M. W. (2012) · Physics in Medicine and Biology · doi:10.1088/0031-9155/57/4/867 · Cited by 466
What the left and right anterior fusiform gyri tell us about semantic memory
Mion, M., Patterson, K., Acosta-Cabronero, J., Pengas, G., Izquierdo-Garcia, D., Hong, Y. T., Fryer, T. D., Williams, G. B., Hodges, J. R., & Nestor, P. J. (2010) · Brain · doi:10.1093/brain/awq272 · Cited by 425
(2005) · PubMed · Cited by 395
Metadata
- Authors
- Kinahan, P. E., & Rogers, J. G.
- Venue
- IEEE Transactions on Nuclear Science
- Published
- 1989-02
- Volume
- 36
- Issue
- 1
- Pages
- 964-968
- ISSN
- 0018-9499 (ISSN-L)
- 1558-1578
- OpenAlex
- W2159081727
- Cited by
- 767
- References
- 0
- FWCI
- 6.70
- 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: Analytic 3D image reconstruction using all detected events. https://app.cochat.ai/papers/10.1109/23.34585
- The paper
- Kinahan, P. E., & Rogers, J. G. (1989). Analytic 3D image reconstruction using all detected events. IEEE Transactions on Nuclear Science. https://doi.org/10.1109/23.34585
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.