Dynamic PET image reconstruction using deep physiology prior

Mengrui Chen; Rui Hu; Huafeng Liu

doi:10.1117/12.3006324

1 April 2024 Dynamic PET image reconstruction using deep physiology prior

Mengrui Chen, Rui Hu, Huafeng Liu

Proceedings Volume 12925, Medical Imaging 2024: Physics of Medical Imaging; 129254R (2024) https://doi.org/10.1117/12.3006324
Event: SPIE Medical Imaging, 2024, San Diego, California, United States

Conference Poster

Abstract

Dynamic positron emission tomography (PET) imaging can provide information about metabolic changes over time, and is widely used in clinical diagnosis and cancer treatment. However, the existing deep learning methods for PET image reconstruction mainly focus on the static mapping paradigm between sinogram and radioactivity concentration distribution, which ignores the inherent dynamic activation process of tracers. In this paper, we establish a physiological model based deep learning framework for dynamic PET image reconstruction using deep physiology prior. First, the objective functions of our physiological model are combined with static mapping and the dynamic activation process of tracers. Then, a data-driven Adaptive Kalman Inspired Network (AKIN) is adopted to solve the proposed objective functions. Specifically, the AKIN consists of three components: a Prediction Net is employed for directly predicting the prior estimation; a Projection Net is employed for predicting the current estimation of the observations based on the prior estimation, furthermore, a Kalman Gain Net (KNet) is employed for adaptively learning the gain coefficient. The experiment of simulation data demonstrates that the proposed method has substantial noise reduction in temporal and spatial domains, outperforming other methods like maximum likelihood expectation maximization, kernel expectation maximization method and DeepPET.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Mengrui Chen, Rui Hu, and Huafeng Liu "Dynamic PET image reconstruction using deep physiology prior", Proc. SPIE 12925, Medical Imaging 2024: Physics of Medical Imaging, 129254R (1 April 2024); https://doi.org/10.1117/12.3006324

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