This paper proposes a new iterative reconstruction algorithm for transmission tomography and compares this algorithm with several other methods. The new algorithm is simple and resembles the emission ML-EM algorithm in form. Due to its simplicity, it is easy to implement and fast to compute a new update at each iteration. The algorithm also always guarantees non-negative solutions. Evaluations are performed using simulation studies and real phantom data. Comparisons with other algorithms such as convex, gradient, and logMLEM show that the proposed algorithm is as good as others and performs better in some cases.
Bibliographical noteFunding Information:
This work was supported by the National Institutes of Biomedical Imaging and Bioengineering, and National Cancer Institute of the National Institutes of Health under grants CA 100181 and EB00121. We thank Dr. Roy Rowley of the Utah Center for Advanced Imaging Research for editing our manuscript.
All Science Journal Classification (ASJC) codes
- Radiology Nuclear Medicine and imaging