Bibliographic Citation
| Document | For copies of Journal Articles, please contact the Publisher or your local public or university library and refer to the information in the Resource Relation field. For copies of other documents, please see the Availability, Publisher, Research Organization, Resource Relation and/or Author (affiliation information) fields and/or Document Availability. |
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| DOI | http://dx.doi.org/10.1109/23.507263 |
| Title | Spatial homogeneity issues with concurrent iterative reconstruction algorithms |
| Creator/Author | Tang, H.R. ; Brown, J.K. ; Wu, X. ; Hasegawa, B.H. [Univ. of California, San Francisco, CA (United States)]|[Univ. of California, Berkeley, CA (United States)] |
| Publication Date | 1996 Jun 01 |
| OSTI Identifier | OSTI ID: 267975 |
| Report Number(s) | CONF-951073-- |
| Other Number(s) | Journal ID: IETNAE; ISSN 0018-9499; TRN: TRN: IM9634%%47 |
| Resource Type | Journal Article |
| Resource Relation | Journal Name: IEEE Transactions on Nuclear Science; Journal Volume: 43; Journal Issue: 3Pt2; Conference: IEEE nuclear science symposium and medical imaging conference, San Francisco, CA (United States), 21-28 Oct 1995; Other Information: PBD: Jun 1996 |
| Subject | 55 BIOLOGY AND MEDICINE, BASIC STUDIES; SINGLE PHOTON EMISSION COMPUTED TOMOGRAPHY; ALGORITHMS; IMAGE PROCESSING; DATA ACQUISITION; PERFORMANCE |
| Description/Abstract | Concurrent Iterative Reconstruction Algorithms use projection data in the iterative process as the data become available during the SPECT acquisition process and continue iterations in the post-acquisition period as conventional iterative algorithms. Because projections acquired early are processed more than later projections, regional inhomogeneities may exist in the initial image estimates but decrease with further post-acquisition iteration. Regularization done either during the acquisition of post-acquisition iterations further reduces regional inhomogeneities. The authors tested statistical differences in regions throughout the reconstructed image to determine the minimal number of post-acquisition iterations and type of regularization needed to reach an image that is interregionally consistent. The algorithms provide images free of reconstruction inhomogeneities and can offer a reduction in post-acquisition reconstruction time when compared to conventional iterative algorithms. |
| Country of Publication | United States |
| Language | English |
| Format | Medium: X; Size: pp. 2025-2029 |
| System Entry Date | 2008 Feb 04 |
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Last Updated: 11/19/2009