Paper
9 March 2018 Algorithm enabled TOF-PET imaging with reduced scan time
Zheng Zhang, Sean Rose, Jinghan Ye, Amy E. Perkins, Buxin Chen, Emil Y. Sidky, Chien-Min Kao, Chi-Hua Tung, Xiaochuan Pan
Author Affiliations +
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, Sean Rose, Jinghan Ye, Amy E. Perkins, Buxin Chen, Emil Y. Sidky, Chien-Min Kao, Chi-Hua Tung, and 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); https://doi.org/10.1117/12.2294045
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KEYWORDS
Reconstruction algorithms

Positron emission tomography

Optimization (mathematics)

Prototyping

Yield improvement

Algorithm development

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