Image oscillation reduction and convergence acceleration for OSEM reconstruction
- Univ. of California, Los Angeles, CA (United States). School of Medicine
The authors have investigated the use of two approaches to reduce the image oscillation of OSEM reconstruction that is due to the inconsistencies among different partial subsets of the projection measurements (sinogram) when considering as a group. One approach pre-processes the sinogram to make it satisfy a sinogram consistency condition. The second approach takes the average of the intermediary images (i.e., smoothes image values over sub-iterations). Both approaches were found to be capable of reducing the image oscillation, and combination of both was most effective. With these approaches, the convergence of OSEM reconstruction is further improved. For computer simulated data and real PET data, a single iteration of these new OSEM reconstruction was shown to yield images comparable to those with 80 EM iterations.
- Sponsoring Organization:
- USDOE, Washington, DC (United States); National Insts. of Health, Bethesda, MD (United States)
- DOE Contract Number:
- FC03-87ER60615
- OSTI ID:
- 684503
- Report Number(s):
- CONF-981110--
- Journal Information:
- IEEE Transactions on Nuclear Science, Journal Name: IEEE Transactions on Nuclear Science Journal Issue: 3Pt2 Vol. 46; ISSN 0018-9499; ISSN IETNAE
- Country of Publication:
- United States
- Language:
- English
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