no code implementations • 4 Jul 2018 • Kuang Gong, Kyungsang Kim, Jianan Cui, Ning Guo, Ciprian Catana, Jinyi Qi, Quanzheng Li
The representation is expressed using a deep neural network with the patient's prior images as network input.
no code implementations • 18 Jun 2021 • Kuang Gong, Ciprian Catana, Jinyi Qi, Quanzheng Li
Direct reconstruction methods have been developed to estimate parametric images directly from the measured PET sinograms by combining the PET imaging model and tracer kinetics in an integrated framework.
no code implementations • 5 Jan 2022 • Siqi Li, Kuang Gong, Ramsey D. Badawi, Edward J. Kim, Jinyi Qi, Guobao Wang
In this paper, we propose an implicit regularization for the kernel method by using a deep coefficient prior, which represents the kernel coefficient image in the PET forward model using a convolutional neural-network.
1 code implementation • 9 Oct 2017 • Kuang Gong, Jiahui Guan, Kyungsang Kim, Xuezhu Zhang, Georges El Fakhri, Jinyi Qi, Quanzheng Li
An innovative feature of the proposed method is that we embed the neural network in the iterative reconstruction framework for image representation, rather than using it as a post-processing tool.