Direct parametric image reconstruction of rapid multi-tracer PET
Cheng X, Navab N, Ziegler SI, Shi K (2013)
Publication Type: Conference contribution
Publication year: 2013
Journal
Book Volume: 8151 LNCS
Pages Range: 155-162
Conference Proceedings Title: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Event location: JPN
ISBN: 9783642407598
DOI: 10.1007/978-3-642-40760-4_20
Abstract
The separation of multiple PET tracers within an overlapped scan based on intrinsic difference of pharmacokinetics is challenging due to the limited SNR of PET measurements and high complexity of fitting models. This study developed a novel direct parametric reconstruction method by integrating a multi-tracer model with reduced number of fitting parameters into image reconstruction. To incorporate the multi-tracer model, we adopted EM surrogate functions for the optimization of the penalized log-likelihood. The algorithm was validated on realistic simulation phantoms and real rapid [18F]FDG and [ 18F]FLT PET imaging of mice with lymphoma mouse tumor. Both results have been compared with conventional methods and demonstrated evident improvements for the separation of multiple tracers. © 2013 Springer-Verlag.
Involved external institutions
Germany (DE)How to cite
APA:
Cheng, X., Navab, N., Ziegler, S.I., & Shi, K. (2013). Direct parametric image reconstruction of rapid multi-tracer PET. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (pp. 155-162). JPN.
MLA:
Cheng, Xiaoyin, et al. "Direct parametric image reconstruction of rapid multi-tracer PET." Proceedings of the 16th International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2013, JPN 2013. 155-162.
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