Abstract
Statistical reconstruction methods based on the penalized maximum-likelihood (or maximum a posteriori) principle have been developed to improve the image quality in emission tomography. However, the penalty functions (or image priors) are often heuristically designed to encourage smoothness in reconstructed images. This paper presents a method to design the penalty function to improve lesion detection. We factorize the penalty function into pairwise potentials. Using the theoretical expressions that we have developed for evaluating lesion detectability, we are able to find the optimum weights of the pairwise potentials to achieve the maximum lesion detectability based on the numerical observers that are correlated to human performance.
| Original language | English (US) |
|---|---|
| Title of host publication | 2004 2nd IEEE International Symposium on Biomedical Imaging: Macro to Nano |
| Pages | 348-351 |
| Number of pages | 4 |
| Volume | 1 |
| State | Published - 2004 |
| Externally published | Yes |
| Event | 2004 2nd IEEE International Symposium on Biomedical Imaging: Macro to Nano - Arlington, VA, United States Duration: Apr 15 2004 → Apr 18 2004 |
Other
| Other | 2004 2nd IEEE International Symposium on Biomedical Imaging: Macro to Nano |
|---|---|
| Country | United States |
| City | Arlington, VA |
| Period | 4/15/04 → 4/18/04 |
ASJC Scopus subject areas
- Engineering(all)
Fingerprint Dive into the research topics of 'Maximum-lesion-detectability reconstruction using penalized maximum likelihood'. Together they form a unique fingerprint.
Cite this
Qi, J., & Huesman, R. H. (2004). Maximum-lesion-detectability reconstruction using penalized maximum likelihood. In 2004 2nd IEEE International Symposium on Biomedical Imaging: Macro to Nano (Vol. 1, pp. 348-351)