14 citations · 29 across the 19 of their papers we have counts for
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DDPET-3D: Dose-aware Diffusion Model for 3D Ultra Low-dose PET Imaging
Huidong Xie, Weijie Gan, Bo Zhou +8
As PET imaging is accompanied by substantial radiation exposure and cancer risk, reducing radiation dose in PET scans is an important topic. Recently, diffusion models have emerged…
TAI-GAN: Temporally and Anatomically Informed GAN for early-to-late frame conversion in dynamic cardiac PET motion correction
Xueqi Guo, Luyao Shi, Xiongchao Chen +10
The rapid tracer kinetics of rubidium-82 (Rb) and high variation of cross-frame distribution in dynamic cardiac positron emission tomography (PET) raise significant challeng…
Transformer-based Dual-domain Network for Few-view Dedicated Cardiac SPECT Image Reconstructions
Huidong Xie, Bo Zhou, Xiongchao Chen +6
Cardiovascular disease (CVD) is the leading cause of death worldwide, and myocardial perfusion imaging using SPECT has been widely used in the diagnosis of CVDs. The GE 530/570c de…
Joint Denoising and Few-angle Reconstruction for Low-dose Cardiac SPECT Using a Dual-domain Iterative Network with Adaptive Data Consistency
Xiongchao Chen, Bo Zhou, Huidong Xie +4
Myocardial perfusion imaging (MPI) by single-photon emission computed tomography (SPECT) is widely applied for the diagnosis of cardiovascular diseases. Reducing the dose of the in…
Cross-domain Iterative Network for Simultaneous Denoising, Limited-angle Reconstruction, and Attenuation Correction of Low-dose Cardiac SPECT
Xiongchao Chen, Bo Zhou, Huidong Xie +4
Single-Photon Emission Computed Tomography (SPECT) is widely applied for the diagnosis of ischemic heart diseases. Low-dose (LD) SPECT aims to minimize radiation exposure but leads…
DD-CISENet: Dual-Domain Cross-Iteration Squeeze and Excitation Network for Accelerated MRI Reconstruction
Xiongchao Chen, Zhigang Peng, Gerardo Hermosillo Valadez
Magnetic resonance imaging (MRI) is widely employed for diagnostic tests in neurology. However, the utility of MRI is largely limited by its long acquisition time. Acquiring fewer…
Unified Noise-aware Network for Low-count PET Denoising
Huidong Xie, Qiong Liu, Bo Zhou +3
As PET imaging is accompanied by substantial radiation exposure and cancer risk, reducing radiation dose in PET scans is an important topic. However, low-count PET scans often suff…
FedFTN: Personalized Federated Learning with Deep Feature Transformation Network for Multi-institutional Low-count PET Denoising
Bo Zhou, Huidong Xie, Qiong Liu +10
Low-count PET is an efficient way to reduce radiation exposure and acquisition time, but the reconstructed images often suffer from low signal-to-noise ratio (SNR), thus affecting…
Fast-MC-PET: A Novel Deep Learning-aided Motion Correction and Reconstruction Framework for Accelerated PET
Bo Zhou, Yu-Jung Tsai, Jiazhen Zhang +7
Patient motion during PET is inevitable. Its long acquisition time not only increases the motion and the associated artifacts but also the patient's discomfort, thus PET accelerati…