LMPDNet: TOF-PET list-mode image reconstruction using model-based deep learning method

• URL: http://arxiv.org/abs/2302.10481v1
• Date: Tue, 21 Feb 2023 07:07:29 GMT
• Title: LMPDNet: TOF-PET list-mode image reconstruction using model-based deep learning method
• Authors: Chenxu Li, Rui Hu, Jianan Cui, Huafeng Liu
• Abstract summary: We present a novel model-based deep learning approach, LMPDNet, for TOF-PET reconstruction from list-mode data. Our experimental results indicate that the proposed LMPDNet outperforms traditional TOF-PET list-mode reconstruction algorithms.
• Score: 17.35248769956761
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: The integration of Time-of-Flight (TOF) information in the reconstruction process of Positron Emission Tomography (PET) yields improved image properties. However, implementing the cutting-edge model-based deep learning methods for TOF-PET reconstruction is challenging due to the substantial memory requirements. In this study, we present a novel model-based deep learning approach, LMPDNet, for TOF-PET reconstruction from list-mode data. We address the issue of real-time parallel computation of the projection matrix for list-mode data, and propose an iterative model-based module that utilizes a dedicated network model for list-mode data. Our experimental results indicate that the proposed LMPDNet outperforms traditional iteration-based TOF-PET list-mode reconstruction algorithms. Additionally, we compare the spatial and temporal consumption of list-mode data and sinogram data in model-based deep learning methods, demonstrating the superiority of list-mode data in model-based TOF-PET reconstruction.

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