2 citations · 2 across the 9 of their papers we have counts for
9 papers
GR-Diffusion: 3D Gaussian Representation Meets Diffusion in Whole-Body PET Reconstruction
Mengxiao Geng, Zijie Chen, Ran Hong +2
Positron emission tomography (PET) reconstruction is a critical challenge in molecular imaging, often hampered by noise amplification, structural blurring, and detail loss due to s…
Meta-information Guided Cross-domain Synergistic Diffusion Model for Low-dose PET Reconstruction
Mengxiao Geng, Ran Hong, Xiaoling Xu +2
Low-dose PET imaging is crucial for reducing patient radiation exposure but faces challenges like noise interference, reduced contrast, and difficulty in preserving physiological d…
ALL-PET: A Low-resource and Low-shot PET Foundation Model in Projection Domain
Bin Huang, Kang Chen, Bingxuan Li +2
Building large-scale foundation model for PET imaging is hindered by limited access to labeled data and insufficient computational resources. To overcome data scarcity and efficien…
Double-Constraint Diffusion Model with Nuclear Regularization for Ultra-low-dose PET Reconstruction
Mengxiao Geng, Ran Hong, Bingxuan Li +1
Ultra-low-dose positron emission tomography (PET) reconstruction holds significant potential for reducing patient radiation exposure and shortening examination times. However, it m…
A Prior-Guided Joint Diffusion Model in Projection Domain for PET Tracer Conversion
Fang Chen, Weifeng Zhang, Xingyu Ai +3
Positron emission tomography (PET) is widely used to assess metabolic activity, but its application is limited by the availability of radiotracers. 18F-labeled fluorodeoxyglucose (…
st-DTPM: Spatial-Temporal Guided Diffusion Transformer Probabilistic Model for Delayed Scan PET Image Prediction
Ran Hong, Yuxia Huang, Lei Liu +4
PET imaging is widely employed for observing biological metabolic activities within the human body. However, numerous benign conditions can cause increased uptake of radiopharmaceu…
Diffusion Transformer Model With Compact Prior for Low-dose PET Reconstruction
Bin Huang, Xubiao Liu, Lei Fang +2
Positron emission tomography (PET) is an advanced medical imaging technique that plays a crucial role in non-invasive clinical diagnosis. However, while reducing radiation exposure…
PET Tracer Conversion among Brain PET via Variable Augmented Invertible Network
Bohui Shen, Wei Zhang, Xubiao Liu +8
Positron emission tomography (PET) serves as an essential tool for diagnosis of encephalopathy and brain science research. However, it suffers from the limited choice of tracers. N…
Synthetic CT Generation via Variant Invertible Network for All-digital Brain PET Attenuation Correction
Yu Guan, Bohui Shen, Xinchong Shi +3
Attenuation correction (AC) is essential for the generation of artifact-free and quantitatively accurate positron emission tomography (PET) images. However, AC of PET faces challen…