title: Conceptual design and simulation study of an ROI-focused panel-PET scanner.
abstract: Positron emission tomography (PET) is an important imaging modality for clincial use. Conventionally, the PET scanner is generally built to provide a roomy enough transverse field-of-view (FOV) for imaging most adults' torsos. However, in many cases, the region-of-interest (ROI) for imaging is usually a small area inside the human body. Therefore, to fulfill a PET system which provides an FOV comparable in size to the target ROI seems appealing and more cost effective. Meanwhile, such a PET system has the potential for portable or bedside application with the reduced system size. In this work, we have investigated the feasibility of using dual-headed panel-detectors to build an ROI-focused PET scanner. A novel windowed list-mode ordered subset expectation maximization method was developed to perform the ROI image reconstruction. With this method, the ROI of the object can be reconstructed from the coincidences whose position determined by time-of-flight (TOF) measurements was inside the ROI. Monte Carlo simulation demonstrates the feasibility of detecting lesions not less than 1 cm in diameter, with a 300 ps full width at half maximum timing resolution. As a critical system performance, the impact of TOF information on image quality has been studied and the required TOF capability was assessed. With enhanced timing resolution, the distortions and artifacts were reduced effectively. The further improved TOF capability also shows a noticeable improvement of detection performance for low uptake lesions, as well as the recovery speed of lesion contrast, which is of practical significance in the lesion detection task.
authors: Biomedical Engineering Department, Huazhong University of Science and Technology, Wuhan, Hubei, China ; Wuhan National Laboratory for Optoelectronics, Wuhan, Hubei, China.
authors: Qingguo
authors: Q
authors: Xie
authors: Lu
authors: L
authors: Wan
authors: Xiaoqing
authors: X
authors: Cao
authors: Peng
authors: P
authors: Xiao
mesh_terms: D000465:Algorithms; D003198:Computer Simulation; D004867:Equipment Design; D006801:Humans; D009010:Monte Carlo Method; D019047:Phantoms, Imaging; D049268:Positron-Emission Tomography / Q000191:economics / Q000295:instrumentation* / Q000379:methods; D060726:Torso / Q000000981:diagnostic imaging
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