A back-projection-and-filtering-like (BPF-like) reconstruction method with the deep learning filtration from listmode data in TOF-PET.

Journal: Medical physics
Published Date: Feb 17, 2022

Abstract

PURPOSE: The time-of-flight (TOF) information improves signal-to-noise ratio (SNR) for positron emission tomography (PET) imaging. Existing analytical algorithms for TOF PET usually follow a filtered back-projection process on reconstructing images from the sinogram data. This work aims to develop a back-projection-and-filtering-like (BPF-like) algorithm that reconstructs the TOF PET image directly from listmode data rapidly.

Authors

  • Li Lv
    School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China.
  • Gengsheng L Zeng
    Department of Computer Science, Utah Valley University, Orem, Utah, USA.
  • Yunlong Zan
  • Xiang Hong
  • Minghao Guo
    School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai, China.
  • Gaoyu Chen
    Department of Nuclear Medicine, Rui Jin Hospital, School of Medcine, Shanghai Jiao Tong University, Shanghai, 200240, China.
  • Weijie Tao
  • Wenxiang Ding
    School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China.
  • Qiu Huang
    Department of Nuclear Medicine, Ruijin Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.

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