Abstract
We introduce and evaluate a block-iterative Fisher scoring (BFS) algorithm for emission tomography. Regularization is achieved by penalized likelihood with a general quadratic penalty. When the algorithm converges, it converges to the unconstrained maximum penalized likelihood (MPL) solution. In a simulated data set, constrained BFS achieves a higher penalized likelihood in fewer iterations than other block-iterative algorithms which are designed for non-negatively constrained penalized reconstruction.
Original language | English |
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Title of host publication | 2007 4th IEEE International Symposium on Biomedical Imaging: From Nano to Macro - Proceedings |
Editors | Miles Wernick |
Place of Publication | Piscataway, NJ |
Publisher | Institute of Electrical and Electronics Engineers (IEEE) |
Pages | 153-156 |
Number of pages | 4 |
ISBN (Print) | 1424406722, 9781424406722 |
DOIs | |
Publication status | Published - 2007 |
Event | 2007 4th IEEE International Symposium on Biomedical Imaging: From Nano to Macro; ISBI'07 - Arlington, VA, United States Duration: 12 Apr 2007 → 15 Apr 2007 |
Other
Other | 2007 4th IEEE International Symposium on Biomedical Imaging: From Nano to Macro; ISBI'07 |
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Country/Territory | United States |
City | Arlington, VA |
Period | 12/04/07 → 15/04/07 |