Time-activity curve based sinogram decomposition for streak artifacts reduction in dynamic PET reconstruction
Cheng X, Liu J, Vogel J, Liu Z, Navab N, Ziegler S, Shi K (2015)
Publication Type: Book chapter / Article in edited volumes
Publication year: 2015
Publisher: Kluwer Academic Publishers
Series: Lecture Notes in Computational Vision and Biomechanics
Book Volume: 22
Pages Range: 81-89
DOI: 10.1007/978-3-319-18431-9_9
Abstract
This paper developed a novel dynamic PET reconstruction algorithm to reduce the severe streak artifacts due to the existence of overwhelmingly higher signals such as bladder than other areas. This is achieved by a clustering of temporal development into comparable signal levels and decomposition in projection space accordingly. The results show a significant improvement in quality of reconstructed images as well as an improvement in quantification compared with conventional FBP reconstruction.
Involved external institutions
Germany (DE)
United States (USA) (US)How to cite
APA:
Cheng, X., Liu, J., Vogel, J., Liu, Z., Navab, N., Ziegler, S., & Shi, K. (2015). Time-activity curve based sinogram decomposition for streak artifacts reduction in dynamic PET reconstruction. In (pp. 81-89). Kluwer Academic Publishers.
MLA:
Cheng, Xiaoyin, et al. "Time-activity curve based sinogram decomposition for streak artifacts reduction in dynamic PET reconstruction." Kluwer Academic Publishers, 2015. 81-89.
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