9 March 2018 Algorithm enabled TOF-PET imaging with reduced scan time
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Abstract
Time-of-flight (TOF) positron emission tomography (PET) has gained remarkable development recently due to the advances in scintillator, silicon photomultipliers (SiPM), and fast electronics. However, current clinical reconstruction algorithms in TOF-PET are still based on ordered-subset-expectation-maximization (OSEM) and its variants, which may face challenges in non-conventional imaging applications, such as fast imaging within short scan time. In this work, we propose an image-TV constrained optimization problem, and tailor a primal- dual algorithm for solving the problem and reconstructing images. We collect list-mode data of a Jaszczak phantom with a prototype digital TOF-PET scanner. We focus on investigating image reconstruction from data collected within reduced scan time, and thus of lower count levels. Results of the study indicate that our proposed algorithm can 1) yield image reconstruction with suppressed noise, extended axial volume coverage, and improved spatial resolution over that obtained in conventional reconstructions, and 2) yield reconstructions with potential clinical utility from data collected within shorter scan time.
© (2018) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Zheng Zhang, Zheng Zhang, Sean Rose, Sean Rose, Jinghan Ye, Jinghan Ye, Amy E. Perkins, Amy E. Perkins, Buxin Chen, Buxin Chen, Emil Y. Sidky, Emil Y. Sidky, Chien-Min Kao, Chien-Min Kao, Chi-Hua Tung, Chi-Hua Tung, Xiaochuan Pan, Xiaochuan Pan, } "Algorithm enabled TOF-PET imaging with reduced scan time", Proc. SPIE 10573, Medical Imaging 2018: Physics of Medical Imaging, 105733T (9 March 2018); doi: 10.1117/12.2294045; https://doi.org/10.1117/12.2294045
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