Zeng Gengsheng L, Li Ya, Huang Qiu
Department of Engineering, Utah Valley University, 800 West University Parkway, Orem, UT, 84058, USA.
Department of Radiology and Imaging Sciences, University of Utah, 729 Arapeen Drive, Salt Lake City, UT, 84108, USA.
Vis Comput Ind Biomed Art. 2020 Feb 17;3(1):5. doi: 10.1186/s42492-020-0042-5.
In a positron emission tomography (PET) scanner, the time-of-flight (TOF) information gives us rough event position along the line-of-response (LOR). Using the TOF information for PET image reconstruction is able to reduce image noise. The state-of-the-art TOF PET image reconstruction uses iterative algorithms. This study introduces an analytic TOF PET algorithm that focuses on three-dimensional (3D) reconstruction. The proposed algorithm is in the form of backprojection filtering, in which the backprojection is performed first by using a time-resolution profile function, and then a 3D filter is applied to the backprojected image. For the list-mode data, the backprojection is carried out in the event-by-event fashion, and the timing resolution determined weighting function is used along the projection LOR. Computer simulations are carried out to verify the feasibility of the proposed algorithm.
在正电子发射断层扫描（PET）扫描仪中，飞行时间（TOF）信息可让我们大致确定沿响应线（LOR）的事件位置。将TOF信息用于PET图像重建能够降低图像噪声。当前最先进的TOF PET图像重建采用迭代算法。本研究介绍了一种专注于三维（3D）重建的解析TOF PET算法。所提出的算法采用反投影滤波形式，其中首先使用时间分辨率剖面函数进行反投影，然后将3D滤波器应用于反投影图像。对于列表模式数据，反投影以逐个事件的方式进行，并且在投影LOR上使用定时分辨率确定的加权函数。进行计算机模拟以验证所提出算法的可行性。
